Departmental Papers (CIS)

Date of this Version

6-2015

Document Type

Conference Paper

Comments

8th IEEE International Conference on Cloud Computing (IEEE CLOUD 2015), New York, USA, June 27 - July 2, 2015

Abstract

Clouds have become appealing platforms for not only general-purpose applications, but also real-time ones. However, current clouds cannot provide real-time performance to virtual machines (VMs). We observe the demand and the advantage of co-hosting real-time (RT) VMs with non-real-time (regular) VMs in a same cloud. RT VMs can benefit from the easily deployed, elastic resource provisioning provided by the cloud, while regular VMs effectively utilize remaining resources without affecting the performance of RT VMs through pro per resource management at both the cloud and the hypervisor levels. This paper presents RT-OpenStack, a cloud CPU resource management system for co-hosting real-time and regular VMs. RT-OpenStack entails three main contributions: (1) integration of a real-time hypervisor (RT-Xen) and a cloud management system (OpenStack) through a real-time resource interface; (2) a realtime VM scheduler to allow regular VMs to share hosts with RT VMs without interfering the real-time performance of RT VMs; and (3) a VM-to-host mapping strategy that provisions real-time performance to RT VMs while allowing effective resource sharing with regular VMs. Experimental results demonstrate that RTOpenStack can effectively improve the real-time performance of RT VMs while allowing regular VMs to fully utilize the remaining CPU resources.

Subject Area

CPS Real-Time

Publication Source

2015 IEEE 8th International Conference on Cloud Computing (CLOUD)

Start Page

179

Last Page

186

DOI

10.1109/CLOUD.2015.33

Copyright/Permission 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.

Keywords

admission control, cloud computing, real-time systems, resource management, scheduling, servers, virtual machine monitors, openstack, rt-xen, CPU resource management, RT-Open Stack, cloud CPU resource management system, real-time cloud computing, virtual machines

Bib Tex

@INPROCEEDINGS{7214043,
author={Sisu Xi and Chong Li and Chenyang Lu and Gill, C.D. and Meng Xu and Phan, L.T.X. and Lee, I. and Sokolsky, O.},
booktitle={Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on},
title={RT-Open Stack: CPU Resource Management for Real-Time Cloud Computing},
year={2015},
pages={179-186},
keywords={cloud computing;virtual machines;CPU resource management;RT-Open Stack;cloud CPU resource management system;real-time cloud computing;virtual machines;Admission control;Cloud computing;Real-time systems;Resource management;Scheduling;Servers;Virtual machine monitors;openstack;rt-xen;scheduling},
doi={10.1109/CLOUD.2015.33},
month={June},}

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Date Posted: 12 October 2015

This document has been peer reviewed.