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MOVING TARGET WITH LOAD BALANCING IN A HIERARCHICAL CLOUD
Author(s) -
Hong Liu,
Johnson Thomas,
Praveen Khethavath
Publication year - 2014
Publication title -
services transactions on cloud computing
Language(s) - English
Resource type - Journals
eISSN - 2326-7550
pISSN - 2326-7542
DOI - 10.29268/stcc.2014.0011
Subject(s) - cloud computing , load balancing (electrical power) , computer science , geology , operating system , geodesy , grid
MOVING TARGET WITH LOAD BALANCING IN A HIERARCHICAL CLOUD Hong Liu, Johnson Thomas and Praveen Khethavath Department of Computer Science Oklahoma State University Stillwater, USA liuh@cs.okstate.edu Abstract In this paper we propose a ‘moving target’ security mechanism for a P2P cloud where files are partitioned and sensitive sections are moved at different times without modifying the routing or finger tables, to reduce the risk of the file being compromised. Two drawbacks with this approach are the problem of determining the locality of the data and load unbalancing. We present a hierarchical P2P cloud system that leads to scalability and efficiency. A 3-step load balancing scheme for hierarchical P2P cloud system to globally balance the network is proposed. Our simulation results show that our algorithm is effective in achieving load balancing in hierarchical peer-to-peer cloud systems.

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