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Cloud computing has emerged as an important paradigm for managing and delivering services efficiently over the Internet. Convergence of cloud computing with technologies such as wireless sensor networking and mobile computing offers new applications of cloud services but this requires management of Quality of Service (QoS) parameters to efficiently monitor and measure the delivered services. This paper presents a QoS-aware Cloud Based Autonomic Information System for delivering agriculture related information as a service through the use of latest Cloud technologies which manage various types of agriculture related data based on different domains. Proposed system gathers information from various users through preconfigured devices and manages and provides required information to users automatically. Further, Cuckoo Optimization Algorithm has been used for efficient resource allocation at infrastructure level for effective utilization of resources. We have evaluated the performance of the proposed approach in Cloud environment and experimental results show that the proposed system performs better in terms of resource utilization, execution time, cost and computing capacity along with other QoS parameters., Comment: 31 pages, 28 figures

In this paper, we design and develop a pricing model applicable to strategy proof pricing. To provide an economic stability towards its consumers. The economic model we use is Vickrey-Clarke-Groves (VCG). By this each service provider has to provide a true cost of its services in the cloud market. For the selection of suitable service for the consumer we adopt a dynamic programing based algorithm and VCG is used to calculate the payment. Strategy proof pricing offers a unique cloud pricing service that takes the complexity out of traditional pricing and enables cloud providers to price accurately, consistently and competitively, Comment: Includes 2 Figures, 2 Tables and 4 Pages. Presented in International Conference on Communication, Information and Computing Technology (ICCICT-15) held in Amritsar on 12-13 May, 2015

The Dynamic Scalability of resources, a problem in Infrastructure as a Service (IaaS) has been the hotspot for research and industry communities. The heterogeneous and dynamic nature of the Cloud workloads depends on the Quality of Service (QoS) allocation of appropriate workloads to appropriate resources. A workload is an abstraction of work that instance or set of instances that are going to perform. Running a web service or being a Hadoop data node is valid workloads. The efficient management of dynamic nature resources can be done with the help of workloads. Until workload is considered a fundamental capability, the Cloud resources cannot be utilized in an efficient manner. In this paper, different workloads have been identified and categorized along with their characteristics and constraints. The metrics based on Quality of Service (QoS) requirements have been identified for each workload and have been analyzed for creating better application design., Comment: Including 5 Tables and 3 Figures, Presented in the International Conference on Next Generation Computing and Communication Technologies (ICNGCCT 2014), Dubai, UAE on 23-24 April, 2014

Cloud Computing is an emerging area for accessing computing resources. In general, Cloud service providers offer services that can be clustered into three categories: SaaS, PaaS and IaaS. This paper discusses the Cloud workload analysis. The efficient Cloud workload resource mapping technique is proposed. This paper aims to provide a means of understanding and investigating IaaS Cloud workloads and the resources. In this paper, regression analysis is used to analyze the Cloud workloads and identifies the relationship between Cloud workloads and available resources. The effective organization of dynamic nature resources can be done with the help of Cloud workloads. Till Cloud workload is considered a vital talent, the Cloud resources cannot be consumed in an effective style. The proposed technique has been validated by Z Formal specification language. This approach is effective in minimizing the cost and submission burst time of Cloud workloads., Comment: 6 Pages including 2 figures, Published by IEEE Joint Chapter of IE/PEL/CS under IEEE UP section

Utility Computing has facilitated the creation of new markets that has made it possible to realize the long held dream of delivering IT as a Utility. Even though utility computing is in its nascent stage today, the proponents of utility computing envisage that it will become a commodity business in the upcoming time and utility service providers will meet all the IT requests of the companies. This paper takes a cross-sectional view at the emergence of utility computing along with different requirements needed to realize utility model. It also surveys the current trends in utility computing highlighting diverse architecture models aligned towards delivering IT as a utility. Different resource management systems for proficient allocation of resources have been listed together with various resource scheduling and pricing strategies used by them. Further, a review of generic key perspectives closely related to the concept of delivering IT as a Utility has been taken citing the contenders for the future enhancements in this technology in the form of Grid and Cloud Computing., Comment: No. of Pages- 20 No. of Figures- 3 No. of Tables- 11

Software Engineering Discipline is constantly achieving momentum from past two decades. In last decade, remarkable progress has been observed. New process models that are introduced from time to time in order to keep pace with multidimensional demands of the industry. New software development paradigms are finding its place in industry such as Agile Software Development, Reuse based Development and Component based Development. But different software development models fail to satisfy many needs of software industry. As aim of all the process models is same, i.e., to get quality product, reduce time of development, productivity improvement and reduction in cost. Still, no single process model is complete in itself. Software industry is moving towards Agile Software Development. Agile development does not obviously fit well for building reusable artifacts. However, with careful attention, and important modifications made to agile processes, it may be possible to successfully adapt and put on agile methods to development of reusable objects. The model being proposed here combines the features of Agile Software Development and reusability., Comment: 8 Pages including 5 figures, Published by Foundation of Computer Science, New York, USA