Dynamic optimization of workload on compute nodes in private, public and hybrid clouds
https://doi.org/10.15514/ISPRAS-2015-27(6)-19
Abstract
This system is designed for automatic workload distribution in a cluster by analysing workload of compute nodes and migrating VMs from overloaded nodes to underloaded ones. Besides workload stabilization, the system also provides an opportunity to reduce power consumption by unloading and suspending underloaded nodes. Workload stabilization in a cluster increases stability and reduces system response time.
References
1. OpenStack Overview. http://www.openstack.org/software/
2. OpenStack Scailing. http://docs.openstack.org/openstack-ops/content/scaling.html
3. Meisner D, Gold B, Wenisch T. PowerNap: eliminating server idle power. ACM SIGPLAN Notices 2009; 44(3): 205–216.
4. OpenStack Compute Load Balancer. https://launchpad.net/nova-loadbalancer
Review
For citations:
Chadin A. Dynamic optimization of workload on compute nodes in private, public and hybrid clouds. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2015;27(6):307-314. (In Russ.) https://doi.org/10.15514/ISPRAS-2015-27(6)-19
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