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Cost minimisation technique in geo-distributed data centres

机译:地理分布式数据中心的成本最小化技术

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摘要

Significant growth of Big Data leads to a great opportunity for data analysis. Data centres are continuously becoming more popular. At the same time data centres' cost are increasing as the amount of data is growing. Simply as Big Data is significantly increasing, data centres are facing new challenges. Hence the idea of geo-distributed data centre is introduced. This project investigates on the main challenges that data centres face and presents an enhanced technique for cost optimisation in geographical distributed data centres. Parameters involved such as task assignment, task placement, big data processing and quality of service are analysed. Analytical evaluation results show that joint parameters technique proposed outperformed separate parameter techniques in some cases even with 20% enhancement. Academic Gurobi solver is used for the evaluation.
机译:大数据的显着增长导致数据分析的绝佳机会。数据中心不断变得更受欢迎。随着数据量的增长,数据中心的成本正在增加。简单地随着大数据显着增加,数据中心面临着新的挑战。因此,介绍了地理分布式数据中心的想法。该项目调查了数据中心面临的主要挑战,并在地理分布式数据中心中提高了成本优化的增强技术。分析了涉及的参数,例如任务分配,任务放置,大数据处理和服务质量。分析评估结果表明,即使在某些情况下,联合参数技术也在某些情况下表现出优于不同的参数技术。学术Gurobi求解器用于评估。

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