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The paper deals with the problems of cloud computing applied for industrial applicationson the ground of practical experiences in certain manufacturing corporation. The main part of paperis orientated to proposal of the numerical model on the base of infrastructure as a service (IaaS) and its mathematical description. In addition the model has been extended to include the requirements of mission critical systems with real time behaviour and fail-safe features. The models were realised via virtualisation software Hypervisor which creates a group of available virtual resources through physical infrastructure, which can be offered to customers. Proposal solution enables to create a proper sizeof cloud infrastructure for hardware provisioning according to customer requirements.

In order to optimize the performance of user services in IaaS,the task scheduling algorithm for IaaS based on signal-driven is proposed,by which CS(control subsystem) and NS(inquiry nodes subsystem) based on the structural characteristics of the IaaS is established,and the DAG scheduling model based on the structural characteristics of the inquiry task is created.Then the conversion mechanism for the task partitions is created,constructing the signal communication mechanism for CS and NS,changing the status of the task partitions by signal-driven between the CS and NS,completing the task partitions allocation by POSS (parallel optimization selective strategy) in the scheduling time.This algorithm with low complexity is compatible with the distributed architecture of IaaS,because of utilizing dual system control mode.The effectiveness and practicality of this algorithm is verified by experiment.

The adoption of embedded systems, mobile devices and other smart devices keeps rising globally, and the scope of their involvement broadens, for instance, in smart city-like scenarios. In light of this, a pressing need emerges to tame such complexity and reuse as much tooling as possible without resorting to vertical ad hoc solutions, while at the same time taking into account valid options with regard to infrastructure management and other more advanced functionalities. Existing solutions mainly focus on core mechanisms and do not allow one to scale by leveraging infrastructure or adapt to a variety of scenarios, especially if actuators are involved in the loop. A new, more flexible, cloud-based approach, able to provide device-focused workflows, is required. In this sense, a widely-used and competitive framework for infrastructure as a service, such as OpenStack, with its breadth in terms of feature coverage and expanded scope, looks to fit the bill, replacing current application-specific approaches with an innovative application-agnostic one. This work thus describes the rationale, efforts and results so far achieved for an integration of IoT paradigms and resource ecosystems with such a kind of cloud-oriented device-centric environment, by focusing on a smart city scenario, namely a park smart lighting example, and featuring data collection, data visualization, event detection and coordinated reaction, as example use cases of such integration.

The complexity of data resulting from business process is becoming overwhelming for the systems that don't use shared resources. Many aspects of the business process must be recorded and analysed in a short period of time with no errors at all. In order to obtain these results, so that management and other departments know what their next decision/job will be, there must be a continuous exchange and processing of information. "Cloud Computing" is the solution to overcome the problem of processing large amounts of data. By using this technology organizations have the benefit of using shared resources from various systems that are able to face large amount of data processing. This benefits does not only resume to a high performance system but also the costs of using such architecture are much lower.

Cloud computing is the provision of IT resources (IaaS) on-demand using a pay as you go model over the internet. It is a broad and deep platform that helps customers builds sophisticated, scalable applications. To get the full benefits, research on a wide range of topics is needed. While resource over-provisioning can cost users more than necessary, resource under provisioning hurts the application performance. The cost effectiveness of cloud computing highly depends on how well the customer can optimize the cost of renting resources (VMs) from cloud providers. The issue of resource provisioning optimization from cloud-consumer potential is a complicated optimization issue, which includes much uncertainty parameters. There is a much research avenue available for solving this problem as it is in the real-world. Here, in this paper we provide details about various optimization techniques for resource provisioning. [ABSTRACT FROM AUTHOR]

Big data and cloud are the common keystones of this data science era. The various social data contributes to the overall data traffic of the universe. The data management policies have gained much interest and research community is moving towards it. Cloud storage is one of such methodology used to manage big data elements. Due to centralized issues in job scheduling, the VMs are used to schedule the jobs. Waiting for service reply from a specific VM or delivering to a mass community from a far apart VM improves the cost of data traffic and completion time. We have proposed LoSM and GLoSM to satisfy the service request from 'n' number of hosts with respect to proximity and service activity. The test results from CloudSim and HDFS show that the proposed system outperforms with minimal completion time, reduced data traffic and less energy consumption. [ABSTRACT FROM AUTHOR]

Cloud computing has been empowered with the introduction of Software-Defined Networking (SDN) which enabled dynamic controllability of cloud network infrastructure. Despite the increasing popularity of studies for joint resource optimization in the cloud environment with SDN technology, the realization is still limited for developing integrated management platform providing a simultaneous controllability of computing and networking infrastructures. In this paper, we propose SDCon, a practical platform developed on OpenStack and OpenDaylight to provide integrated manageability for both resources in cloud infrastructure. The platform can perform VM placement and migration, network flow scheduling and bandwidth allocation, real-time monitoring of computing and networking resources, and measuring power usage of the infrastructure with a single platform. We also propose a network topology aware VM placement algorithm for heterogeneous resource configuration (TOPO-Het) that consolidates the connected VMs into closely connected compute nodes to reduce the overall network traffic. The proposed algorithm is evaluated on SDCon and compared with the results from the state-of-the-art baselines. Results of the empirical evaluation with Wikipedia application show that the proposed algorithm can effectively improve the response time while reducing the total network traffic. It also shows the effectiveness of SDCon to manage both resources simultaneously. [ABSTRACT FROM AUTHOR]

Information is becoming increasingly ubiquitous in our society and the underlying network infrastructure must provide a flexible and efficient way to cope with ever growing demands. The challenge to provide telecom infrastructure with high quality of service levels, competitive cost and low environmental impact requires new technologies and approaches. SDN and NFV technologies emerge as a solution to these demands, shown new ways to implement dynamic and elastic network services. This paper introduces ElasticNFV, a SDN-based NFV orchestrator capable of performing load balancing in an application oblivious way. Performance analysis results confirm the potential of ElasticNFV to adequately address current telecom infrastructure needs. [ABSTRACT FROM AUTHOR]

Highlights • New, cloud independent deployment method and cloud orchestrator. • New way of establishing complex virtual infrastructures and docker clusters over hybrid clouds. • Investigating the use of VPN technology for hybrid clouds. • Performance measurements to find the most optimal encryption method and MTU value for VPNs over hybrid clouds. Abstract The paper introduces a new method of deploying complex infrastructures in hybrid clouds. The new method is based on a new cloud orchestrator, called Occopus that enables cloud independent infrastructure deployment at user level. Occopus applies a plugin based cloud access architecture. As a result, porting infrastructure among different kind of clouds or deploying an infrastructure on top of a hybrid cloud including private and public (commercial) clouds becomes straightforward. Occopus supports all the major cloud technologies and protocols like OpenStack, OpenNebula, OCCI, Amazon EC2 or CloudSigma. The paper also shows how to apply Occopus in order to deploy a Docker Swarm cluster on the top of hybrid clouds. As a concrete example it shows the deployment on a hybrid cloud system containing OpenStack, Amazon and CloudSigma clouds as components. Using hybrid clouds raises security and communication performance issues that are also covered and investigated in the paper. The technology described in the paper is intensively used in the EU H2020 project COLA for more than 20 commercial applications and on MTA Cloud that is the cloud of the Hungarian Academy of Sciences where more than 40 academic projects run. [ABSTRACT FROM AUTHOR]

In this paper, we propose a new class of service called server migration service (SMS) to augment the existing IaaS (Infrastructure as a Service). SMS allows servers (server-side processes of a network application) to dynamically and automatically migrate as their clients (client-side processes of a network application) change their locations in order to reduce the total monetary penalty that the SMS provider pays to its SMS subscribers when failing to provide them with the guaranteed level of QoS. In this paper, we consider the monetary impact that arises from QoS degradation due to server migration and build an integer programming model to determine when and to which location servers should migrate to minimize the total monetary penalty incurred by the SMS provider. Numerical examples show that SMS achieves up to 96% lower total monetary penalty compared to that without server migration. Numerical examples also show that the integer programming model developed in this paper requires reasonable computation time under realistic parameter settings. [ABSTRACT FROM AUTHOR]

Cloud Computing has revolutionized the software, platform and infrastructure provisioning. Infrastructure-as-a-Service (IaaS) providers offer on-demand and configurable Virtual Machine (VMs) to tenants of cloud computing services. A key consolidation force that widespread IaaS deployment is the use of pay-as-you-go and pay-as-you-use cost models. In these models, a service price can be composed of two dimensions: the individual consumption, and a proportional value charged for service maintenance. A common practice for public providers is to dilute both capital and operational costs on predefined pricing sheets. In this context, we propose PSVE (Proportional-Shared Virtual Energy), a cost model for IaaS providers based on CPU energy consumption. Aligned with traditional commodity prices, PSVE is composed of two key elements: an individualized cost accounted from CPU usage of VMs (e.g., processing and networking), and a shared cost from common hypervisor management operations, proportionally distributed among VMs. [ABSTRACT FROM AUTHOR]

With the emergence of big data computing and analysis, cloud computing services become more and more popular, which has recently drawn researchers’ great attentions to develop various new applications and mechanisms. In this paper, we consider the on-demand mechanism design in the infrastructure as a service (IaaS), including resource allocation and pricing issues under dynamic scenarios. Most of existing works on mechanism design assumed static and independent individual utility, while the cloud computing services are provided in a dynamic environment. To solve such problems, we start with analyzing the Google cluster-usage dataset to draw the statistical and stochastic characteristics of the IaaS consumers and providers. Based on the characteristics mined from real data, we propose a stochastic matching algorithm with Markov Decision Process (MDP), which aims at optimizing the long-term system efficiency, with its online version using Q-learning method to address the imperfect model estimation problem. We further design an efficient (EF), incentive compatible (IC), individual rational (IR) auction mechanism, which is an extension of traditional Vickrey-Clarke-Groves (VCG) mechanism. The proposed mechanism is studied under two application scenario: quality sensitive services, where unilateral MDP-VCG auction is implemented; and quality insensitive services, where MDP-VCG double auction is implemented. To verify the performance of our proposed mechanism, we conduct experiment using the Google dataset and show that the proposed MDP-based VCG auction mechanism can achieve EF, IC and IR properties simultaneously. [ABSTRACT FROM AUTHOR]

In the modern era companies seek the use of modern technologies in order to upgrade their infrastructure and enhance their business growth. The use of business intelligence, data science and cloud computing (CC) has become an integral part of business. Different factors play important role in the adoption of cloud services. An organization willing to adopt cloud services should consider them. This paper explores the factors and addresses the issues in implementing and deploying CC in telecom companies. In addition, this study also shares the benefits of utilizing CC which is a novel technical pattern which can change the use of different associations of information technology as a service. CC concentrates on the idea of definition, security problems, service models and infrastructures of its development. The important point is to analyze how this paradigm should be adopted in telecom industries and its results. This research study presents a comparative analysis of adaptation of CC by various telecom industries. The results identify certain limitations which also play their role for adaptation of CC in telecom companies. [ABSTRACT FROM AUTHOR]

Information technology infrastructure procurement is a focal issue for Malaysia Medium Size Enterprises confronting shortage asset amid economic turbulence. In this paper, we propose a financially savvy asset pooling shared service that improves on-request benefit yet dependable as the enterprise revolves. Further, we look at the appropriateness of legacy hypotheses for the commodity of IT infrastructure and disruptive innovation. Our provocation opens up a key investment association between the proposed integrated IT infrastructure benefits with the key enterprise factors in monetarily feasible. The exploration was completed by means of a survey with data collected from 100 respondents in Peninsular Malaysia and test-retest again the validity of the past 122 respondents for data consistency. The findings posits that despite the fact that innovation highlights have its own points of interest, however, un-optimized and un-reusabilities of existing desktop are two critical determinants of infrastructure investment. It additionally rationalized that wasteful spending is a basic determinant of investment, giving the huge impact to over-speculation and over-spending plan. The findings drive us to propose an organic flexibility infrastructure solution that will expand or recoil with the business execution prompting the discoveries for Exostructure as a Service framework as a Technology Management manual. [ABSTRACT FROM AUTHOR]

Cloud computing increases the expertise, scalability and efficiency of the company. However, new security issues arise. Indeed, traditional security solutions are becoming obsolete because the majority of the traffic of virtual networks does not necessarily leave the physical server,and therefore does not allow permanent control. In order to overcome these limitations, this article presents the integration of a mobile agent-based intrusion detection system in a datacenter to provide a security solution that detects known and unknown attacks in a cloud environment. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to ascertain the awareness and use of cloud computing technologies among the library professionals in the Kerala University Library system, India. A survey was conducted using questionnaire among the 102 library professionals employed in the central and departmental libraries of the University of Kerala. The study revealed that 42.16% of the library professionals did not have much idea about cloud computing technology. Analysis showed that Facebook and Google Apps like Gmail, Google Doc etc are the cloud computing technologies used by majority of the respondents. It is also worth to note that the library professionals in Kerala University Library are using cloud computing technologies without being aware of doing so. Library professionals' awareness of cloud service models is relatively very low. Web OPAC and Journal Discovery Service are the areas known to the respondents in applying cloud computing technologies in libraries. Out of 102 respondents, 14.71% of the library professionals in the University of Kerala have average skill in using these technologies. The findings of the study throw lights into the need of providing training for the library professionals in handling technology enriched library services to the users. [ABSTRACT FROM AUTHOR]

IaaS model is arguably the most fundamental service delivery model in cloud computing. It holds a wide variety of virtualized IT resources and furnished as on-demand services. Platform virtualization represents the quintessence of this model whereby user has the ability to provision and manage its own environment into remote physical servers (CPU, storage servers) within Internet. However, users are still reluctant to migrate its own private data into cloud servers because of security, which remains the most inhibitor of cloud computing’s growth. In this paper, we thoroughly explore the security issues within IaaS model components on behalf CSP and user security behaviors. Furthermore, the CSA Top 12 threats that hamper the flexibility and scalability of IaaS model. [ABSTRACT FROM AUTHOR]

We propose a server selection, configuration, reconfiguration and automatic performance verification technology to meet user functional and performance requirements on various types of cloud compute servers. Various servers mean there are not only virtual machines on normal CPU servers but also container or baremetal servers on strong graphic processing unit (GPU) servers or field programmable gate arrays (FPGAs) with a configuration that accelerates specified computation. Early cloud systems are composed of many PC-like servers, and virtual machines on these severs use distributed processing technology to achieve high computational performance. However, recent cloud systems change to make the best use of advances in hardware power. It is well known that baremetal and container performances are better than virtual machines performances. And dedicated processing servers, such as strong GPU servers for graphics processing, and FPGA servers for specified computation, have increased. Our objective for this study was to enable cloud providers to provision compute resources on appropriate hardware based on user requirements, so that users can benefit from high performance of their applications easily. Our proposed technology select appropriate servers for user compute resources from various types of hardware, such as GPUs and FPGAs, or set appropriate configurations or reconfigurations of FPGAs to use hardware power. Furthermore, our technology automatically verifies the performances of provisioned systems. We measured provisioning and automatic performance verification times to show the effectiveness of our technology. [ABSTRACT FROM AUTHOR]

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Today, the growth of technology is very fast and a lot of technology that can facilitate users in helping their activity is made. A technology need a server to store both systems and users data. More users needed more servers to store user data. The server room became full and needed the extra space so that it required high cost to build the server and the server space itself. The purpose of this research is to create an IaaS based server virtualization that is connected to a router, switch, virtual client and administrator with VirtualBox application. The purpose of this research can be achieved by designing an appropriate research’s methodology. There are 5 stages of implementation/methodology in building virtualization server at this research which are the system definition, requirements specification, system configuration, system testing, and system analysis. First, phase of the definition system is by describing a system of early identification, system requirements and network topology on the implemented system. The second phase is the specification requirements to determine specifications hardware and software. The hardware consists of a computer with resources 8GB RAM and AMD Phenom II X6 as a processor. The software consists of VirtualBox and operating systems. The third stage is the system configuration to declare the source code in application on each server, routers and switches to perform the function of each device. The final stage is system testing and system analysis by checking the system is ready to use and works the best. Results in this research show IaaS-based server virtualization can be connected to display a web page on all clients through virtual switches and routers on a computer.

Research goals: to determine the impact of cloud platforms, equipment and services at the modern state of ICT development. Research objectives: to determine the place and role, pros and cons of the cloud technologies, relevance of their use by the user today. Object of research: cloud services and their characteristics. Subject of research: the use of cloud based technologies, their products and services they can provide. Research methods used: analysis of cloud platforms, statistical data, and scientific publications. Results of the research: based on statistical data confirmed the relevance of using cloud applications. Analyzed the characteristics and scientific publication and proved the influence of cloud technologies on future IT-professionals competences. The main conclusions and recommendations: the use of cloud technology is more affordable, manageable and practical way of data management, which is not require local infrastructure; knowledge and skills related to cloud services is a basis competences of future IT professionals.

В настоящее время возрастает значение электронного образования для учебных заведений. Облачные технологии предлагают учебным заведениям новые возможности для предоставления динамичных и актуальных, основанных на интернет-технологиях приложений для электронного образования, обеспечивают высокий уровень обслуживания потребителей и соответствие электронного курса политике учебного заведения и государственным учебным стандартам, несут с собой новые возможности для учебных заведений и учащихся.В статье рассматриваются основные возможности и перспективы использования современных «облачных» технологий в образовании. Рассматриваются примеры использования известных облачных платформ Google Apps Education Edition и Microsoft Live@edu, возможности облачных хранилищ Microsoft SkyDrive и AppleiCloud. На основе проведенного анализа современного состояния проблемы предлагаются актуальные направления внедрения этих технологий в системе образования.