TECHNOLOGY Improved Round Robin Algorithm for Data Center Selection in Cloud Computing
TECHNOLOGY Improved Round Robin Algorithm for Data Center Selection in Cloud Computing
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发表时间：
2014
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通讯作者：
Deepak Kapgate
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作者：
Deepak Kapgate
在云计算中，有效的负载分配是保证计算资源高效、公平分配，从而提高用户满意度和资源利用率的主要因素。它有助于实现。适当的负载平衡有助于最大限度地减少资源消耗，实现故障转移，实现可扩展性，避免瓶颈等。在云计算场景中，负载平衡包括为即将到来的请求选择数据中心和在单个数据中心进行虚拟机管理。提出并实现了云计算环境下的改进轮循服务代理（DC选择）算法。并将该算法与现有算法的结果进行了比较。该研究得出结论，提出的DC选择算法主要集中在减少在客户端观察到的服务响应时间。结果表明，使用改进的轮循DC选择算法在客户端的响应时间显着减少。还确定了各种参数，这些参数用于比较现有的技术。
In cloud computing, the main factor to achieve a hi gh user satisfaction and increased resource utiliza tion ratio by ensuring an efficient and fair allocation of every computing resource is effective load balan cing. It helps to achieve. Proper load balancing aids in minimizing r esource consumption, implementing fail-over, enabli ng scalability, avoiding bottlenecks etc. In Cloud Com puting Scenario Load Balancing is composed of selecting Data Center for upcoming request and Virtual machine management at individual Data Center. In this paper, w e proposed and implemented Improved Round Robin service broker (DC selection) algorithm in cloud computing. Also we compare the results of proposed algorithm with exis ting algorithm. This study concludes that the propo sed DC selection algorithm mainly focus on reducing servic e response time observed at client side. The result shows drastic reduction in Response time at client side by using Improved Round Robin DC selection algorithm. Various parameters are also identified, and these are used to compare the existing techniques.