TY - GEN
T1 - Enhancing a strategy of virtualized resource assignment in adaptive resource cloud framework
AU - Kang, Dong Ki
AU - Kim, Seong Hwan
AU - Ren, Ye
AU - Kim, Byung Sang
AU - Kim, Woo Joong
AU - Kim, Yu Sik
AU - Youn, Chan Hyun
AU - Jeong, Chang Sung
PY - 2013
Y1 - 2013
N2 - Recently, cloud computing has been emerged to offer new business model for service providers and computing services for many customers in various fields. Both the profit maximization for cloud service providers and the SLA guaranteeing for cloud service customers are most important issues in the research of cloud computing. Many researches about cloud computing have been focused on VM management to satisfy both the cost minimization and acceptable QoS assurance. However, in previous studies, only VM allocation scheme that maps the single request to single instance has been considered, therefore the unnecessary extra capacity of resources has been dissipated. In this paper, we design an Adaptive Resource Cloud Framework(ARCF) with group VM allocating scheme called Multi Requests to Single VM(MRSV) to solve the problems of previous researches. Through the performance evaluation, we showed the effective resource cost saving of the proposed scheme.
AB - Recently, cloud computing has been emerged to offer new business model for service providers and computing services for many customers in various fields. Both the profit maximization for cloud service providers and the SLA guaranteeing for cloud service customers are most important issues in the research of cloud computing. Many researches about cloud computing have been focused on VM management to satisfy both the cost minimization and acceptable QoS assurance. However, in previous studies, only VM allocation scheme that maps the single request to single instance has been considered, therefore the unnecessary extra capacity of resources has been dissipated. In this paper, we design an Adaptive Resource Cloud Framework(ARCF) with group VM allocating scheme called Multi Requests to Single VM(MRSV) to solve the problems of previous researches. Through the performance evaluation, we showed the effective resource cost saving of the proposed scheme.
KW - Cloud resource management
KW - Cloud service broker
KW - Service level agreement
KW - VM allocation
UR - http://www.scopus.com/inward/record.url?scp=84875855820&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875855820&partnerID=8YFLogxK
U2 - 10.1145/2448556.2448626
DO - 10.1145/2448556.2448626
M3 - Conference contribution
AN - SCOPUS:84875855820
SN - 9781450319584
T3 - Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
BT - Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
T2 - 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
Y2 - 17 January 2013 through 19 January 2013
ER -