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The hybrid cloud infrastructure is predominantly used in both industry and academia for its reusability and scalability. In deadline-constrained applications, the estimation of application execution time is a challenging task. The factors like heterogeneity, uncertainty and provisioning time delays affect the performance of hybrid cloud environment. In this work, we proposed a hybrid cloud scheduler...
Users require cloud providers to provide cloud services with suitable cost and acceptable reliability. They provide users the resources (e.g., bandwidth and processing) of virtual machines running on physical machines. A conventional virtual machine selection scheme adopts only a cloud provider that satisfies the acceptable reliability. The total cost of usage sometimes becomes unnecessarily high,...
Minimizing the total allocation cost is an unavoidable issue needing to be deal with in task scheduling of cloud computing for processing all the tasks. In this paper, the comparative study has been done among the priority algorithms and secondly between the priority and non-priority task scheduling algorithms. In order to emulate the precedence relation of task, the task scheduling algorithms enumerate...
Cloud computing is most widely increasing platform for task execution. On the other hands, virtual machine configuration plays as a critical role in the cloud computing performance. It is responsible to select the best suitable configuration for task execution by taking into consideration some static and dynamic factors of tasks. The aim of this paper is to study the effective of homogeneity and heterogeneity...
Cloud Computing provides simplicity to its consumers by saving them the efforts to deal with their own infrastructure, environments or software. This simplicity relies on the shifting of problems from the client to the provider, introducing new paradigms (virtualization, scalability, flexibility, pay-per-use, etc.). This simplicity comes with a price for the consumer that may accurately, or not, reflect...
Cloud computing is a paradigm that offers on-demand scalable resources with the “pay-perusage” model. Cloud service providers' price rises linearly as the resources scale. However, the main challenge for the cloud customers is “Does the performance scale as the price for the rented resources in the cloud”? Also, how does the performance scales for different server load? In this paper we analyze the...
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