CloudScope: diagnosing and managing performance interference in multi-tenant clouds

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Title: CloudScope: diagnosing and managing performance interference in multi-tenant clouds
Authors: Chen, X
Rupprecht, L
Osman, R
Pietzuch, P
Franciosi, F
Knottenbelt, W
Item Type: Conference Paper
Abstract: © 2015 IEEE.Virtual machine consolidation is attractive in cloud computing platforms for several reasons including reduced infrastructure costs, lower energy consumption and ease of management. However, the interference between co-resident workloads caused by virtualization can violate the service level objectives (SLOs) that the cloud platform guarantees. Existing solutions to minimize interference between virtual machines (VMs) are mostly based on comprehensive micro-benchmarks or online training which makes them computationally intensive. In this paper, we present CloudScope, a system for diagnosing interference for multi-tenant cloud systems in a lightweight way. CloudScope employs a discrete-time Markov Chain model for the online prediction of performance interference of co-resident VMs. It uses the results to optimally (re)assign VMs to physical machines and to optimize the hypervisor configuration, e.g. the CPU share it can use, for different workloads. We have implemented CloudScope on top of the Xen hypervisor and conducted experiments using a set of CPU, disk, and network intensive workloads and a real system (MapReduce). Our results show that CloudScope interference prediction achieves an average error of 9%. The interference-aware scheduler improves VM performance by up to 10% compared to the default scheduler. In addition, the hypervisor reconfiguration can improve network throughput by up to 30%.
Issue Date: 5-Oct-2015
Date of Acceptance: 5-Oct-2015
ISBN: 9781467377201
ISSN: 1526-7539
Publisher: IEEE
Start Page: 164
End Page: 173
Journal / Book Title: Proceedings of the 23rd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)
Copyright Statement: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/K032968/1
Conference Name: 23rd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)
Publication Status: Published
Start Date: 2015-10-05
Conference Place: Atlanta, GA, USA
Appears in Collections:Faculty of Engineering

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