WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 17, 2018
Live Data Migration Strategy with Stream Processing Framework
Authors: Kun Ma, Qiuchen Cheng, Bo Yang
Abstract: Live data migration in the cloud is responsible to migrate blocks of data of emigration node to several immigration node. However, live data migration strategy is a NP-hard problem like task scheduling. Recently, in-stream processing is the immediate need in many practical applications. Therefore, we explore a real-time live data migration strategy with stream processing framework in this paper. First, the migration cost and balance model is introduced as the metrics to evaluate data migration strategy. Subsequently, a live data migration strategy with particle swarm optimization is proposed. Afterwards, we implement this method using stream processing framework. The experimental results show the best performance of our method in all.
Search Articles
Keywords: load balancing, stream processing, data migration, particle swarm optimization
Pages: 142-150
WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 17, 2018, Art. #17