Smarter Round Robin Scheduling Algorithm for Cloud Computing and Big Data
Smarter Round Robin Scheduling Algorithm for Cloud Computing and Big Data
复制标题
适用于云计算和大数据的更智能的循环调度算法
DOI：
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发表时间：
2018
影响因子：
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通讯作者：
Chaker El Amrani
中科院分区：
文献类型：
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作者：
Hicham Gibet Tani;Chaker El Amrani
云计算和大数据是即将到来的信息技术（IT）计算模型。这些突破性的范式正在引导 IT 制定一套新的规则，旨在改变计算资源的交付和开发模式，从而创建一个呈指数级增长的新颖的商业市场，并吸引越来越多的提供商和最终用户的投资，他们希望从这些创新的计算模型中获利。在同样的背景下，研究人员和调查人员正在努力开发、测试和优化云计算和大数据平台，而一些研究正在进行中，以确定和增强这些计算模型的基本方面，特别是计算资源分配。对于云计算和大数据来说，处理能力调度至关重要，因为这些新计算模型提出的数据增长管理和交付设计，需要平台和应用程序更快的响应。因此，开发符合这些计算模型平台和基础设施要求的高效调度算法的重要性。
Cloud Computing and Big Data are the upcoming Information Technology (IT) computing models. These groundbreaking paradigms are leading IT to a new set of rules that aims to change computing resources delivery and exploitation model, thus creating a novel business market that is exponentially growing and attracting more and more investments from both providers and end users that are looking forward to make profits from these innovative models of computing. In the same context, researchers and investigators are wrestling time in order to develop, test and optimize Cloud Computing and Big Data platforms, whereas several studies are ongoing to determine and enhance the essential aspects of these computing models especially compute resources allocation. The processing power scheduling is crucial when it comes to Cloud Computing and Big Data because of the data growth management and delivery design proposed by these new computing models, that requires faster responses from platforms and applications. Hence originates the importance of developing high efficient scheduling algorithms that are compliant with these computing models platforms and infrastructures requirement.