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Cloud computing is a paradigm to provide services to end-users through the Internet. The availability of services to end-users is dependent on various factors such as the availability of computing resources as well as the number of users to access those services. To manage the real-time fluctuating workload cloud providers use elasticity mechanisms. Elasticity is one of the important characteristics of cloud computing that dynamically allocates computing resources to manage the fluctuating workload. The failure of allocation/de-allocation of computing resources at the right moment leads to SLA violation, degradation of services performance, maximum power consumption, minimum throughput, and maximum response time. To address these challenges, we have proposed a hybrid approach to perform horizontal elasticity. The proposed approach uses both reactive and proactive approaches for provisioning/de-provisioning of computing resources. The simulation results of the proposed model show that performance of system has improved in terms of CPU utilization, response time, and throughput.

In secure web application development, the role of web services will not continue if it is not trustworthy. Retaining customers with applications is one of the major challenges if the services are not reliable and trustworthy. This article proposes a trust evaluation and decision model where the authors have defined indirect attribute, trust, calculated based on available direct attributes in quality web service (QWS) data sets. After getting training of such evaluation and decision strategies, developers and customers, both will use the knowledge and improve the QoS. This research provides web-based learning about web service quality which will be utilized for prediction, recommendation and the selection of trusted web services in the pool of web services available globally. In this research, the authors include designs to make decisions about the trustworthy web services based on classification, correlation, and curve fitting to improve trust in web service prediction. In order to empower the web services life cycle, they have developed a quality assessment model to incorporate a security and performance policy.

In today’s internet era, the increased rate of using cloud services has been one of the most burning issue. Even though the various server available with high encryptesd cloud services as it is almost used by popular platform such as Yahoo, Gmail, Microsoft Outlook Express. However, Due to distributed and centralised data repository of information in the cloud services are more lean for attackers. And they are more vulnerabke to attack if cloud based system is not perfectly configured. User perosonal data and shared information is not secured on centralised locations which results in lack of security mecanism.. If an attack targeting a server is successful, information for all users on that server may be compromised. The flow of this research paper is to be introduced with a cloud based communication paradigm which also referred to enhanced cloudsim architecture at different layers with the scope of providing end to end security architecture. We have performed simulation and include results in support of end to end security with various protocol analysis for communication in between cloud based web services. Here we analyse security in the client and cloud server as FTP, HTTP for Remote server uploading and downloading time response and size specifications.

Focus of health care data research has shifted towards configuring and handling e-health information from heterogeneous e-health administration entities in a Content Distribution Network (CDN) for gaining e-health benefits which may be a testing errand. In recent trends, CDNis typically is used to reserve e-health networking substance as ongoing images captured in real time sequences and ongoing videos. In mobile cloud computing, due to patient's movement, it is required for medicinal services professionals to bring information of patient health with quick access of e-health data to make effective choices and select medication. Caching and its invalidation mechanism will provide the solutions in effective e-health data availability. A lot of caching methodologies are proposed, such as the Scalable Asynchronous Cache Consistency Scheme (SACCS) which has demonstrated more versatility over others. In this article, the authors recommend another reserve reinstatement algorithm with SACCS in consideration that is dependent upon rule-based Least Profit Value.

Gait analysis has a wide application in medical, rehabilitation, geriatric care, biometrics, sports, animation, and many other avenues. However, gait analysis systems require highly sophisticated devices and methods in a laboratory setup under controlled environment. Consequently, sometimes the subjects are not able to display their natural gait pattern. There is thus a need for a system that works in uncontrolled conditions under practical constraints. This paper proposes a new approach for identification of human joints for gait analysis in a markerless setup or environment. The proposed method has been used successfully to determine coordinates of joints (shoulder, hip, left knee, right knee, left ankle and right ankle). The extracted positions of the joints are then compared with those obtained from marker based identification and ground truth. This comparative analysis performed confirms the efficiency of the proposed techniques used in the determination of the joint trajectory. These trajectory can play crucial role in gait related pathology diagnosis.

Humans utilize many muscles to produce intelligible speech, including lips, face and throat. Dysarthria is a speech disorder that surfaces when one has weal muscles due to brain damage. Primary characteristics of a dysarthric patient are slurred and slow speech that can be difficult to understand based on the severity of the condition. This paper proposes an approach to improve the intelligibility of the dysarthric speech using a simple yet effective speech-transformation technique such as warping the frequency of LPC poles and mapping coefficients of linear predictive coding. This technique was applied to dysarthric audio from the UA-speech database to obtain the desired results. Both objective and subjective measures are used to evaluate the transformed speech. The obtained results pointed towards a significant improvement in the dysarthric speech’s intelligibility. This method can be used to develop special voice-enabled search platforms for dysarthric patients and in helping rehabilitation of the patients by developing a speech therapy based on auditory feedback.

Due to increase in the Service provider and related companies, Cloud plays vital role in service industries by providing cloud based web services, so there is an emerging need to wisely choose the cloud service providers. The classified variety of administration services a cloud offers makes it crucial for clients to assess the administration dimensions of various cloud suppliers in such a way with the goal that required quality, unwavering quality or security of an application can be guaranteed. This paper deal with the issues and show the comparison of AWS and IBM cloud. Both Platforms are tested in comparable situations using their respective instances. Performance is precised by the compilation based on standard program through Phoronix Test Suite 3.

The advent of internet has led to the formation of a totally digitized environment, where each and everything is constantly in connection & can be easily accessed from anywhere. Traditional IP networks are difficult to understand and manage. Configuring the networks as per the already defined policies & making changes to it to react to issues faced has become difficult. The vertical integration of current networks adds to the difficulties. Software-Defined Network (SDN) is a new paradigm that promises to change and solve the problem. SDN breaks network into traceable pieces, thus making it less demanding to make & present new changes in networking, making network management & network evolution simpler. In SDN, load balancing is a brilliant technology as it can save power & improve the utilization of resources. This research focuses on analyzing the load and data in SDN for various distributed network topologies. Various network emulator and packet tracker tools have been used in the paper for generating statics.

Progressive Web Applications emerged as a better alternative to traditional mobile application development. Possessing the best of both native applications and web applications, PWA also offers advantages like offline loading of the application as well as services like push notifications and background synchronization to enhance user engagement. The paper provides an overview of using Progressive Web Apps as modern application development cycle. We have discussed in detail in the paper how progressiveness in a web application offers advantage over native application. The paper also discusses about the architectural pattern followed to develop progressive web apps to improve loading time of the app. API provided by the service workers have also been discussed in detail including push notifications and background synchronization to provide native app like experience. A case study has been carried out to depict the working of various progressive features.

Artificial Intelligence in PC games is a known concept and refers to designing the game such that even while playing games alone, there is a degree of intelligence in actions performed by the non-playable characters (NPCs) simulating human like behavior. It is often argued that video game AI is not truly intelligent and simply follows a set of instructions scripted by the developer. Hence, the objective is to study and compare traditional AI against a machine learned AI and make inferences based on the result. A game is developed in unity engine which is complex enough such that there is a balance of complexity in terms of difficulty to learn the game while also being simple enough to generate results as fast as possible.

Security testing of a web service is the most integral part of its existence in Web service life cycle monitoring. Through testing, this system can monitor the possibility of attacks and redesign the services using the considerations provided by monitoring system. There is a never ending need to produce cyber safe web services which can be trusted. Penetration Testing is a professional testing where the test engineer is responsible for auditing the web service for its ability to withstand security attacks. The present work provides a monitoring system which includes penetration testing for vulnerability/malware detection. We introduced the survey done for vulnerabilities found in WSLC phases, include sample testing methodologies and propose the monitoring framework to identify vulnerabilities in requests for accessing phases of web services launched by worlds wide users. The system architecture is a cost-effective solution to provide security from malware. This system introduces a perimeter defence strategy.

Electronic communication is increased rapidly so the need of Cryptography is also increased. There are different algorithms are available but some of the algorithms take large amount of time in encryption and decryption. So there is a need of lightweight cryptographic algorithms. In this paper we proposed an algorithm based on Trigonometric concepts which lightweight and provide security by up a great extent by reducing the chances of cryptanalysis. As compared to other algorithms like Hill cipher, Blowfish, DES etc, the proposed algorithm provides better performance. Basic trigonometric concept is used to design the algorithm.

Today, number of research works are under process using computing resources delivered as a service over the network. This paper focuses in the field of cloud computing and proposes the model for service clustering of cab services using k-means clustering. This paper proposes a highly competent and efficient methodology. Our research includes the web service development using AWS, real time data collection and its analysis based on clustering. The web services are designed to provide approximate time and distance as per client inputs and then produces the output in terms of cost of different cab services provided by the cab service providers. Through our clustering approach, we are proposing the better approach for selecting the best service using data analysis of web service quality dataset over AWS based developed model.

This research is basically about the diet which is to be given to the stroke patients for saving them from adverse effects of stroke. This includes study about the problems and personalized diet matching with each problem. Stroke patients face many problems like dysphagia, high blood pressure, high sugar and disabilities in body parts. This research is about giving them personalized care and expertise diet through soft computing algorithms. It will require a inputs to be filled by patient daily and based on their answers. The diet would be given to them.

Pollution is in India as well as in the whole world is depleting the ozone layer and is playing major role in air pollution. The objective of research is to implement a carbon monoxide detection system which will measure and track the CO levels and can also measure the values in any applications. The IOT (Internet of Things) is the bridge connector to the existing Internet infra; it plays the role of connecting the thing (things are the physical devices like lights, phones, cars) to the Internet. We developed prototype or system using a MQ-7 carbon monoxide sensor and GPS system, which detects the gas leakage in Car at location tracked using GPS. The functioning of the prototype is described where we include the sensors, Raspberry Pi3, AWS IOT and dynamoDB. A SNS service in AWS is used to send message if found gas leakage in car. The message will be sent to the user by using the user ID in the amazon web services IOT console. The MQ-7 sensor data is programmed in Python Which is one of the supporting SDK's for RaspberryPi in AWS.

Today as we can see the population of the country is increasing at a very fast rate, despite our various efforts. The hospitals and medical services available for the rising population is very low. There are still many areas in our country which do not have proper medical help available. But, during these past years, there has been a huge rise in the data service providers, which has provided a huge support for Internet of Things. Hence from the support of the IoT technology, remote and rural areas can also be provided with proper health services. In most of the researches which are done on the topic, there are many loopholes like, no machine learning is implemented, sensors are not secured over the network, etc. Some of these issues have been addressed in this paper with results output of the system. Further, the paper proposes a model based on the integration of machine learning with the current system to predict future diseases in the patient or that remote area.

Mobile software development is an emerging technology and so are the strategies to build them. This paper focuses on the budding technology i.e. Progressive Web Apps (PWAs), which bridges the gap between web and native mobile apps. Service Worker is the backbone of any PWA. It enables caching of memory, offline access, and other gem features. To prove that caching memory improves the performance, tests have been performed. Taking the advantage of Google's Lighthouse (beta) tool, metrics have been calculated and solutions to improve them are suggested. We has demonstrate the service worker and its impact on cross platform approaches and compare android, iOS and PWA performance growth.

Now a days, there are number of cab services providers which are confusing the client with number of similar kind of service options. That's why there is a need of selecting a quality service from a set of given services. It motivates us to design an approach which is efficient in providing the effective service after the data analysis of real time data developed and collected through Amazon Web Services. This paper aims at analyzing a mathematical model that is used to predict the most efficient output of a dataset of a model using Artificial Neural Network. The proposed mathematical model is made and applied on a database of real time cab services developed using Amazon Web Services to predict the effective web service. We have analyzed the real time dataset using Rapidminer. The Analysis is done on the bases of the threshold and root mean square error values obtained. We are proposing the methodology which is highly competent and accurate in obtaining the results.

Healthcare Automation is an area, which involves various services, such as the housekeeping & patient management system. There is a incredible quantity of consideration and focusing to improve health. Big healthcare survey organizations illustrate that sickness and death rate, to a great extent rely on accessing of suitable healthcare systems, which is not accessible to an enormous preponderance of the worldwide inhabitants. This research paper introduce automating healthcare functions such as monitoring, accessing of information of patients by doctors using effective grid search technology, interactive user interface assistance for the doctors and junior doctors for any queries & cache management technology based web application for efficient performance. We elucidate our thoughts on how technology can aid in this vital and crucial life sustaining goings-on. We provide insight hooked on our effort on automating medical sector by means of text mining techniques, Natural Language Processing, Elastic Search, PHP-MVC, Web Services and Cache and include some initial results.

The new branch of science which aims on getting the computers process data and become more learned without the use of explicit programming is termed as Machine Learning. The most premier task of Natural Language processing (NLP) is Sentiment analysis or opinion mining. The need for Sentimental Analysis has gained much popularity over the recent years. Through the paper, we target to deal with the problem of Review System, an utmost important part of any organizational CRM.. Data inflow in this project is through the twitter API supplying live stream of tweets.. Finally we would set a stage to provide insights into our future work on sentiment analysis and using this Smart Agent Analysis on existing CRM in order to improve their existing Feedback structure. Answers to these questions are provided by statistical analysis on keyword.

is an explosion in the volume of data in the world. The amount of data is increasing by leaps and bounds. The sources are individuals, social media, organizations, etc. The data may be structured, semi-structured or unstructured. Gaining knowledge from this data and using it for competitive advantage is the primary focus of all the organizations. In the last few years Big Data has found its way in almost every field, from government to private sectors, industry to academia. The major challenges associated with Big Data are data organization, modeling, data analysis and retrieval. Hadoop is a widely used software framework used for the large scale management and analysis of data. The main components of Hadoop: HDFS and MapReduce, enable the distributed storage and processing of data over a large number of commodity servers. This paper provides an overview of MapReduce and its capabilities and discusses the related issues.

Regression testing, testing is done on the changes made in existing software to check whether the existing software is working properly or not after the changes has been done. Therefore, retesting is performed to detect the new faults found. This type of testing is performed again and again after the changes have been made in the pre-existing software. Various methods are used for test case reduction and optimization for a web service. Regression testing creates a large number of test suites which consumes a lot of time in testing and many other problems are faced. Therefore, some technique or method should be used so that number of test cases are reduced and also test cases can be prioritized keeping in mind the time and budget constraints. The test case reduction and prioritization need to be achieved depending on various parameters such as branch coverage and also on basis of fault coverage etc. Therefore, this paper discusses about the analysis of the code of a web service and the technique used to analyze a web service based on branch or code coverage and also the fault detection for test case reduction and prioritization is bacteriologic algorithm (BA). The test cases generated and also other requirements are mapped with the branch coverage and fault coverage of the code of the web service.

Speech recognition and artificial intelligence powers the automatic speech recognition systems, these system can be applied in the call center environments. This paper explains the use of emotion recognition techniques to identify if the customer are satisfied the ASR system’s performance. This paper presents approaches and techniques for how automatic speech recognition can improve the user experience and save capital in operations of call center.

Data mining is a concept which looks for valuable resources as examples from substantial measure of information, i.e., from a large amount of data. The theory or the information in this paper examines few of the data mining procedures, calculations, and a portion of the associations which have adjusted information mining innovation to enhance their organizations and discovered great outcomes. In this paper, it has been centered on assortment of strategies, methodologies, and diverse zones of the examination which are useful and set apart as the essential field of information mining technologies. As per prior knowledge that many MNC’s and vast associations are worked in better places of the distinctive nations. This paper bestows more number of utilizations of the information mining and furthermore o centers extent of the information mining which will accommodating in the further research.

Today's Classical cryptographic algorithms will fail against the quantum cryptosystems. In this paper, Security protocols are reviewed with analysis of intercept-resend, faked-state and light pulse attacks and eavesdropper strategies to gain the information transferred in between communication channel. The quantum cryptography is providing absolute security against the above stated attacking environment. That is the reason for using the concepts of quantum mechanics with cryptographic algorithms to achieve the utmost security. This paper is focusing on review to the key distribution techniques used for protecting the communication. We found that the communication is successfulif we use privacy amplification, authentication, and Bell's inequalities.

Stream ordering and analysis of tree networks are necessary for understanding graph data structures. The idea of stream ordering finds its base in hydrology and open networks. Large dataset representations of such networks are difficult to process for analysis. In this paper, the stream ordering concept has been extended to a general class of structures characterized by open network semantics. A new algorithm has been proposed for analyzing tree networks and hierarchal subdivision of network segments through traversal, with minimal and generic computation over Arc–Node topological data sets. The algorithm has been implemented as a case study for understanding the complexity and calculation of manhole invert levels of sewer network of wastewater utility in the capital city of Delhi.

The present work provides a system and method for malware detection wherein the system stores malicious files and replicates only safe files to the main server by the use of containerized scanners. This architecture is a cost-effective solution to provide security from malware. This system introduces a perimeter defense strategy. This works outside of main servers to maintain the confidentiality, integrity, and authenticity of already in place servers.

WS Recommendation is challenging job due to its dynamic behavior in QoS. This document explains the various web services that are provided on the internet, how they are implemented, the protocols used in order to invoke these ws, the architecture & lifecycle of ws. The document also elucidates the various Quality analysis parameters and states the quality metrics that are available in order to evaluate the QoS. The evaluation of QoS is very important for the recommendation of web services. In this document, grading or ranking of QoS is done in order to recommend web services. The formulas for computation of rank of QoS has been analyzed and deduced in this documentation. The order in which QoS is ranked, WS is recommended to the user or clients accordingly. The formulas computed in this document are more efficient and clear in terms of factors included.

With the advancements in the technology, we are stepping forward to the future of Smart Cities. But sill we have a large number of hurdles to achieve that vision. One such problem faced by our society is the large number of crimes happening across cities. So, it is very cardinal that we find solutions to this problem. The aim of this paper is to scrutinize the crimes history in a city and derive insights which would lead to better public safety decisions. In this paper, the crime data of City of Baltimore is used). Firstly, the data collection phase of data analysis followed by a brief introduction to data cleaning is explained in this paper. Then an exploratory analysis is carried out in this paper based on R programming. Tableau is used to generate visualizations from this data. This paper will briefly discuss the process of data analysis and conclude the important insights based on this analysis.

Data Mining is a computational process of discovering a certain pattern in huge datasets. It is an essential process where technical processes are applied to get patterns. Alzheimer's disease should be detected very early so that preventive measures can be taken. Alzheimer's disease is a chronic disorder that worsens over time. AD is a disease which progresses slowly and is characterized by loss of neurons. The symptoms of dementia keep on worsening over a number of years. It leads to loss of memory which disrupts the life of that person. Reasoning skills and thinking ability is also affected. The most spread disease in Western Europe is dementia and it is least spread in Sub-Saharan Africa. On an average rate, two in three people with Alzheimer are women.

Verbal-guided image parsing is the window to the coming generation of luxurious ease, when all the remote controls that we need for the array of electronics we own come together at one place, with no need of going through manuals. Basic commands can be given to the program verbally by the user and the same is fulfilled. Electronic devices can be attached to the program which can utilise real-time information and demonstrate the optimisation in a virtual-induced real-time environment.

The focus of this research effort is to build Web Services based on open standards and monitor their requestresponse exchanges with a ASP.NET based application that stores performance information of the calls made to the web services, built in Microsoft Visual Studio for the purpose of generating performance data in the form of QoS quantifying quantities of Successes (similar to throughput), Failures (Total attemptssuccesses*) , Datasize or length and the Time taken (Response Time) measured from the service calls of web services for usage in research efforts for the selection and/or recommendation of these services to Web Service consumers. An approach for web service selection has been suggested as well as implemented using data mining techniques included in the selection algorithm.

The concept of surveillance drones arises to aid the problem of tracking humans quickly without risking more human lives in desperate times like disasters or terrorist attacks. The design consists of a Quad-Copter with a Wi-Vi sensor, infrared camera and GPS to quickly track humans from distance on areas which are not quickly reachable from land and/or are not safe for a human to reach unknowingly. The key element here is the detection of humans below rubbles in case of disaster and terrorists hidden behind walls.

Internet of Things (IoT) refers to technological advancements in the networking with the help of which real world objects can be connected to communicate with each other over the internet. The objects that are connected are known as ‘things’. This interconnection of various things over the internet with the capability of sending and receiving information has a wide number of applications in almost every field like healthcare, business, transportation, agriculture, management and education. This paper will discuss about the Internet of Things (IoT) in general, some of its applications with particular emphasis on E-learning. Finally the paper gives a model of Smart Learning using the IoT and the gamification technique of E-Learning.

Flood attacks means a network becomes so weighed down with packets, caused by the attackers. It prevents packets being sent/received between the no des in the network. There are many methods adopted to prevent flood attacks in other networks, but non e has been installed successfully for DTN’s. Disrup tion tolerant network is a network, developed in such a manner that intermittent communication problems have very low effect on the outcome of the result. However, due to the limited network resources in th is network such as buffer space and bandwidth, it is l iable to flood attacks. In order to protect resourc es and defend against flood attacks, the rate limiting tec hnique should be adopted. In which each node must be set up with a restriction over the number of packet s it can send to the network and number of duplicat es that can be created for each packets, such as rate limit L and rate limit R respectively. However floo d attacks are caused even in application level result ing in losses of resources such as CPU and sockets. So, technique for detection of application level floods attacks is implemented by verifying DNS query with a specific tool and validating it with mysql database .

Due to the increasing complexity of web systems, security testing has become indispensable and critical activity of web application development life cycle. Security testing aims to maintain the confidentiality of the data, to check against any information leakage and to maintain the functionality as intended. It checks whether the security requirements are fulfilled by the web applications when they are subjected to malicious input data. Due to the rising explosion in the security vulnerabilities, there occurs a need to understand its unique challenges and issues which will eventually serve as a useful input for the security testing tool developers and test managers for their relative projects.

With the enhancement in mobile technology, QR (Quick Response) codes became popular. QR codes are widely used in our daily life from social media websites to cashless shopping wallets, ERP(Enterprise Resource Planning) software implementation to display advertising and digital marketing etc. In this paper we have focused upon one major issue with the QR codes. We have focused upon data various techniques used to increase data storage capacity of QR code. This paper is divided into five subparts. In first part we have introduced about basics of QR codes, their versions, creating and scanning process and its various applications. Then in second part we have written about various features of QR codes, due to them QR code became so popular and we have also discussed about its structure to understand its basic functionality. Thereafter we have compared three different kinds of co des-b ar code, quick response code and color quick response code, on the basis of its storage capacity, error resistance, 360° reading and other factors. Then in fourth part we have reviewed the literature and mentioned various techniques used by researcher to in crease data storage capacity of QR codes. In fifth part of this research paper we have proposed encoding and decoding algorithm, which will result into high storage color QR code. And a t the end, we have discussed about our future directions in order to increase storage capacity of QR codes and make stored information more secure and reliable for the end users.

Web Services Computing is a growing field with a vast potential for applications of business process management by the implementation of what is known as Service Oriented Architecture (SOA). Business activities can now be independently harvested and grown and later extracted from the “toolkit” of services for composition into large scale applications. This powerful architectural style has translated business logic into useful Web Services or Web APIs across the World Wide Web. This paper delves into the reason for continuously finding and implementing better Quality of Service parameters to define Quality Standards for Web Services. Apart from revisiting research in QoS parameters for Web Services, it is attempted to provide a better understanding of current techniques in Web Service selection, prediction and ranking. A research effort towards a model for Web Service Recommendation is proposed and critically analysed considering the possibility of its implementation in the future.

A more of work has been made to check the content of the social websites, especially the posts or the views of the users; their sentiment analysis has to be done. The main aim is to analyze the sentiments and then to compare those views with the main topics and other platforms. There are enormous amount of the posts given by the users on the social websites. But some of the people are interested in knowing the influence and the relations among those posts. Many of the researchers find the influence of the post on these social websites. But, we cannot find the influence of these posts without knowing the sentiments of the posts. Here we have discussed various methodologies for the sentiment analysis. Online reviews are important for the developers to improve their products and can compete in the market properly. There are several dimensions which help us to know the sentiment of the reviews on the websites. These analyses are also used to find some patterns and draw the conclusions. Hence we can find the favorable and as well as unfavorable parts of the posts. These reviews are important to analyze but there are a very few techniques to determine the sentiment of the reviews [2]. For example, one has given the approach to know the multidimensional rating from various reviews. From the vast amount of reviews on the internet based on different areas, it is very important to know about the different sentiments of the people.

In current scenario cloud computing is most widely increasing platform for task execution. Lot of research is going on to cut down the cost and execution time. In this paper, we propose an efficient algorithm to have an effective and fast execution of task assigned by the user. We proposed an effective communication framework between broker and virtual machine for assigning the task and fetching the results in optimum time and cost using Broker Virtual Machine Communication Framework (BVCF). We implement it over cloudsim under VM scheduling policies by modification based on Virtual Machine Cost. Scheduling over Virtual Machine as well as over Cloudlets and Retransmission of Cloudlets are the basic building blocks of the proposed work on which the whole architecture is dependent. Execution of cloudlets is being analyzed over Round Robin and FCFS scheduling policy., Comment: 10 pages, 5 figures, International Journal on Cloud Computing: Services and Architecture(IJCCSA),Vol.2, No.3, June 2012

With invention of new tools and technologies, the attackers are designing new methods to evade present security models. One of such security models is Intrusion detections. Intrusion detection systems work on signature based analysis and anomaly based detection, which makes it vulnerable for new evasion techniques. This work describes the mitigation of evasion techniques by implementation of better PCRE based rules approach.IN this paper we are designing improved PCRE based rules to prevent evasion techniques on cloud systems.

In the era of data explosion, one of the crowd pleasing words is Big Data. For large scale data handling and processing, Hadoop is in the mainstream. The Hadoop Distributed File Storage deals with the issue of data availability by replicating the data over multiple servers. When the data has to be written over multiple remote locations, the write performance is a major consideration. The objective of this paper is to evaluate the HDFS write performance using both the replication schemes, i.e., the default Pipelined Replication and Parallel Replication. The TestDFSIO Benchmark is used for benchmarking the Hadoop cluster with both replication schemes. It is observed that the write throughput of the Hadoop cluster using the parallel replication is 8% more than that of pipeline replication. It is also observed that the performance of RDMA based HDFS is far better than HDFS RPC.

To attain the Voice over Internet Protocol (mVoIP) for mobile framework through adaptively in Software Defined Networking (SDN) in a more better and efficient manner. The key parameters or obstacles that come across in improving the Quality of Experience of mVoIP can be optimization of path of the data during forwarding for flows in VoIP and selection of optimized codes for the network congestion in the network area. Considering Quality of Services of a network the raw data and the data of Quality of experience of mVoIP to be clustered or gathered in SDN networks by various mVoIP agents. This research study emphasizes on the betterment of services of mVoIP by certain set of optimizations and adaptive approach to selected codes and proposes an algo for the same in networks of SDN.

Lack of interoperability of traditional networking architecture reduces the network’s speed, reliability, and security. Software-defined networking has decoupled control plane and data plane in order to configure the existing architecture. The OpenFlow protocol used for communication in software-defined network has been discussed in this paper [1, 2]. The main aim of the research paper is to implement role-based control model in the software-defined networking environment in order to provide more security [3, 4]. The paper also outlines about the reduction in packet loss and latency using it in software-defined network environment [5, 6].

T Cloud computing is facing several issues regarding security. To provide security major companies are using Advance Encryption Standard (AES) encryption technology. AES is using mainly 3 types of encryption keys: 128bit key encryption, 192bit key encryption and 256bit key encryption which are using 10, 12 and 14 iterations respectively. All these are using the plain text block of size 128bit. In proposed architecture, the cloud user will be facilitated with all the 3 encryption techniques 128, 192 and 256bits to choose and based on the size of the data the encryption process can be done. By that they can make easy to store their data by using this three encryption techniques.

In today's era service development demand increasing day by day and client's ever changing requirements which made agile methodology to come in existence due to faster production, flexible, improved quality and moreover it can accommodate changes, faster feedbacks and transparent communication. But now Due to geographical distribution of team members and client, leading IT thinkers thought to strengthen the agile methodology by giving user's access an environment that has wide-spread access i.e CLOUD. This combination of agile and cloud provide a positive impact to IT companies. But for achieving Quality, we need to test all functionality so in our work we emphasis on testing assimilation using cloud services in agile environment. Cloud team members can perform testing easily using Test-as-a-Service without increasing the cost of the project and get the results faster. We can also use agile management tools to reduce the problem of communication and for all the updates in the product backlog as well as Sprint backlog list.

Number of users, now a days tries to access the data in different type of online services like shopping, gaming, learning etc., which tends to increase the computing as well as storing/fetching load if we use single server. Increase of load on a server results in reduction of throughput and it leads to a strong need of developing and maintaining an efficient system with an appropriate load balancing algorithm that will be used to retrieve the important information with a reasonable response time. The main objective of our study is to propose an new approach for load balancing which can balance the incoming requests from global users which reside in different geographical locations to retrieve the information from a distributed data sources using effective scheduling and virtualization techniques. We are utilizing the combination of Batch Mode Heuristic Priority and Round Robin Scheduling for reducing the load on server. This paper provide good results as we compare Batch mode and Online Mode priority, and conclude with suggestion to use Batch Mode in place of Online mode for better load balancing.