Name
Abstract | ||
|---|---|---|
Cloud datacenters need efficient resource management that is able to orchestrate bulks of different resources. In current public cloud datacenters, there is a mismatch between the requirements of tenant requests and resource utilization. Multiple resource types in datacenters make the situation even more complex. Intelligent resource allocation methods are demanded to improve the overall utilization of multiple resources. This paper presents Multiple Resource Utilization (MRU), a novel resource allocation method for multi-tenant datacenters. MRU allocates multiple types of datacenter resources according to the diverse and dynamic requests from tenants, and simultaneously maximize resource utilization of datacenter and guarantee the resource availability and performance for tenants. Experiments demonstrate that MRU significantly improves the utilization of multiple resources and thus save the cost. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICDCSW.2013.53 | ICDCS Workshops |
Keywords | Field | DocType |
intelligent resource allocation method,datacenter resource,utilization-aware allocation,efficient resource management,resource availability,different resource,resource utilization,novel resource allocation method,multiple resource,multi-tenant datacenters,cloud datacenters,multiple resource type,cloud computing,resource allocation,servers,utilization,bandwidth,resource management,dynamic scheduling,allocation,data center | Resource management,Computer science,Server,Computer network,Bandwidth (signal processing),Resource allocation,Dynamic priority scheduling,Data center,Cost reduction,Cloud computing | Conference |
ISSN | Citations | PageRank |
1545-0678 | 2 | 0.39 |
References | Authors | |
10 | 3 | |