naa a22 4500 510797253 CHVBK 20180411083341.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s11277-013-1263-0 doi (NATIONALLICENCE)springer-10.1007/s11277-013-1263-0 VRAS: A Lightweight Local Resource Allocation System for Virtual Machine Monitor [Elektronische Daten] [Hai Jin, Wei Gao, Song Wu, Xuanhua Shi] Traditional computing resource allocations in virtualization environment devote to provide fairness of resource distribution when the overall workload of host is heavy. That makes those allocations lack of efficiency under light workloads. To target this, we design and implement a lightweight resource allocation system, virtual resource allocation system (VRAS). Considering the fact that workloads can be balanced by migrating virtual machines to other hosts, we propose a request driven mechanism to focus on resource allocation under light workloads. We also present some allocation strategies used in VRAS to explain how it works on processor and memory resources. Our experiment results demonstrate that VRAS can result in throughput improvements of 28% for RUBiS application, and the network overhead reduction of 81%, comparing with the traditional allocation methods. Springer Science+Business Media New York, 2013 Virtualization nationallicence Server consolidation nationallicence Resource allocation nationallicence Request driven mechanism nationallicence Workload nationallicence Jin Hai Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut Gao Wei Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut Wu Song Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut Shi Xuanhua Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut Wireless Personal Communications Springer US; http://www.springer-ny.com 73/4(2013-12-01), 1513-1528 0929-6212 73:4<1513 2013 73 11277 https://doi.org/10.1007/s11277-013-1263-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1263-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jin Hai Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 700 1- Gao Wei Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 700 1- Wu Song Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 700 1- Shi Xuanhua Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 73/4(2013-12-01), 1513-1528 0929-6212 73:4<1513 2013 73 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer