Modeling and Analysis of Virtualized Multi-Service Cloud Data Centers with Automatic Server Consolidation and Prescribed Service Level Agreements

M. Mashaly, P. Kühn
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引用次数: 8

Abstract

Cloud Data Centers (CDC) are developing rapidly and will have a major impact on IT infrastructures in the future for reasons of their low ramp-up costs and service delivery/support capabilities for the users. In this paper CDCs with multi-service application classes are considered which are operated under an automatic server consolidation based on parallel hysteresis methods for server activations/deactivations which have been reported on our previous work. Each class is subjected to an individual SLA, e.g., for the average service delay for non-real-time services or for delay percentiles for services with strict response time constraints, and probabilities for service rejection (loss) or migration. The CDC is modeled by a multi-class server cluster (SC) system, each of them represented by a multi-server queuing system which is controlled by a Finite State machine (FSM) for each class of cloud services. The SC systems are analyzed exactly under Markovian assumptions to receive averages and percentiles of response times and probabilities of loss or migration. The method is novel as it minimizes the energy consumption for servers by an automatic server consolidation strategy while guaranteeing the negotiated SLAs. The method is based on a worst case boundary consideration for the delays of arriving service requests and can be useful to understand the parametric influences and to assess the energy saving gains for multi-tier CDCs.
具有自动服务器整合和规定服务水平协议的虚拟化多服务云数据中心建模与分析
云数据中心(CDC)正在迅速发展,并将在未来对IT基础设施产生重大影响,原因是其低上升成本和为用户提供的服务交付/支持能力。本文考虑了具有多服务应用类的cdc,这些cdc在基于服务器激活/停用的并行滞后方法的自动服务器整合下运行,该方法在我们之前的工作中已经报道过。每个类都服从于单独的SLA,例如,针对非实时服务的平均服务延迟,或针对具有严格响应时间约束的服务的延迟百分位数,以及服务拒绝(丢失)或迁移的概率。CDC由一个多类服务器集群(SC)系统建模,每个系统由一个多服务器排队系统表示,该系统由一个有限状态机(FSM)控制,用于每一类云服务。SC系统在马尔可夫假设下进行精确分析,以获得响应时间和损失或迁移概率的平均值和百分位数。该方法是新颖的,因为它通过自动服务器整合策略最大限度地减少了服务器的能耗,同时保证了协商好的sla。该方法基于对到达服务请求延迟的最坏情况边界考虑,可用于理解参数影响并评估多层cdc的节能收益。
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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