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A Model-Based Algorithm for Optimizing I/O Intensive Applications in Clouds Using VM-Based Migration

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3 Author(s)
Sato, K. ; Tokyo Inst. of Technol., Tokyo ; Sato, H. ; Matsuoka, S.

Federated storage resources in geographically distributed environments are becoming viable platforms for data-intensive cloud and grid applications. To improve I/O performance in such environments, we propose a novel model-based I/O performance optimization algorithm for data-intensive applications running on a virtual cluster, which determines virtual machine (VM) migration strategies,i.e., when and where a VM should be migrated, while minimizing the expected value of file access time. We solve this problem as a shortest path problem of a weighted direct acyclic graph (DAG), where the weighted vertex represents a location of a VM and expected file access time from the location, and the weighted edge represents a migration of a VM and time. We construct the DAG from our Markov model which represents the dependency of files. Our simulation-based studies suggest that our proposed algorithm can achieve higher performance than simple techniques, such as ones that never migrate VMs: 38% or always migrate VMs onto the locations that hold target files: 47%.

Published in:

Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on

Date of Conference:

18-21 May 2009