Dynamic Energy and Expenditure Aware Data Replication Strategy

Q1 Computer Science

IEEE Cloud Computing Pub Date : 2022-07-01 DOI:10.1109/CLOUD55607.2022.00027

Morgan Séguéla, R. Mokadem, J. Pierson

引用次数: 1

Abstract

Nowadays, data are generated and accessed from all over the world. Applications and companies store these data on geo-distributed cloud providers that have to be profitable while reducing their environmental impact. As Cloud providers aim to satisfy their service level objectives in terms of availability and response time, they often rely on data replication. In this paper, we propose a dynamic data replication strategy (DE2ARS) that adapts the number of replicas according to the workload and addresses energy consumption and expenditure issues. It follows an initial placement and is triggered by a Control Chart. We first compare different parameter choices in order to provide better analysis for the proposed strategy. We compare DE2ARS with strategies from the literature. Results highlight the fact that DE2ARS reaches its goal to reduce both energy consumption and expenditure while having good performance in a strong workload context.

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动态能量和支出感知数据复制策略

如今，数据产生和访问来自世界各地。应用程序和公司将这些数据存储在地理分布式云提供商上，这些云提供商必须在减少对环境影响的同时实现盈利。由于云提供商的目标是在可用性和响应时间方面满足其服务级别目标，因此他们通常依赖于数据复制。在本文中，我们提出了一种动态数据复制策略(DE2ARS)，该策略根据工作负载调整副本的数量，并解决了能源消耗和支出问题。它遵循初始放置，并由控制图触发。为了更好地分析所提出的策略，我们首先比较了不同的参数选择。我们将DE2ARS与文献中的策略进行比较。结果表明，DE2ARS达到了降低能耗和支出的目标，同时在强工作负载上下文中具有良好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Cloud Computing Computer Science-Computer Networks and Communications

CiteScore

11.20

自引率

0.00%

发文量

期刊介绍： Cessation. IEEE Cloud Computing is committed to the timely publication of peer-reviewed articles that provide innovative research ideas, applications results, and case studies in all areas of cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques are covered. More specifically: Cloud software, Cloud security, Trade-offs between privacy and utility of cloud, Cloud in the business environment, Cloud economics, Cloud governance, Migrating to the cloud, Cloud standards, Development tools, Backup and recovery, Interoperability, Applications management, Data analytics, Communications protocols, Mobile cloud, Private clouds, Liability issues for data loss on clouds, Data integration, Big data, Cloud education, Cloud skill sets, Cloud energy consumption, The architecture of cloud computing, Applications in commerce, education, and industry, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Business Process as a Service (BPaaS)