A dynamic and adaptive load balancing strategy for parallel file system with large-scale I/O servers
Journal of Parallel and Distributed Computing
VMScatter: migrate virtual machines to many hosts
Proceedings of the 9th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Adaptive memory load management in cloud data centers
IBM Journal of Research and Development
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EUCALYPTUS, an open source cloud-computing framework, is still lack of load balancing. In the paper, we provide a kind of implementation by adaptive live migration of virtual machines. We design and implement a simple model which decreases the migration time of virtual machines by shared storage and fulfills the zero-downtime relocation of virtual machines by transforming them as Red Hat cluster services. During the migration process, we also keep the inclusion relationship between VLAN and virtual machines. We propose a distributed load balancing algorithm COMPARE_AND_BALANCE based on sampling to reach an equilibrium solution. The experimental results show that it converges quickly.