Anchor : A versatile and efficient framework for resource management in the cloud

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

55 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Article number6336751
Pages (from-to)1066-1076
Journal / PublicationIEEE Transactions on Parallel and Distributed Systems
Volume24
Issue number6
Publication statusPublished - 2013
Externally publishedYes

Abstract

We present Anchor, a general resource management architecture that uses the stable matching framework to decouple policies from mechanisms when mapping virtual machines to physical servers. In Anchor, clients and operators are able to express a variety of distinct resource management policies as they deem fit, and these policies are captured as preferences in the stable matching framework. The highlight of Anchor is a new many-to-one stable matching theory that efficiently matches VMs with heterogeneous resource needs to servers, using both offline and online algorithms. Our theoretical analyses show the convergence and optimality of the algorithm. Our experiments with a prototype implementation on a 20-node server cluster, as well as large-scale simulations based on real-world workload traces, demonstrate that the architecture is able to realize a diverse set of policy objectives with good performance and practicality. © 1990-2012 IEEE.

Research Area(s)

  • Cloud computing, resource management, stable matching, VM placement