TY - GEN
T1 - Dynamic hosting management of web based applications over clouds
AU - Abbasi, Zahra
AU - Mukherjee, Tridib
AU - Varsamopoulos, Georgios
AU - Gupta, Sandeep
PY - 2011
Y1 - 2011
N2 - Dynamic Application Hosting Management (DAHM) allows clouds to dynamically host applications in data centers at different locations based on: (i) spatio-temporal variation of energy price, (ii) data center computing and cooling energy efficiency, (iii) Virtual Machine (VM) migration cost for the applications, and (iv) any SLA violations due to migration overhead or network delay. DAHM is complementary to dynamic workload distribution problem and is modeled as mixed integer programming; online algorithms are developed to solve the problem. The algorithms are evaluated in a simulation study using realistic data and compared with performance-oriented application assignment, i.e., hosting the application at a data center whose delay is the least. Our simulations results indicate that DAHM can potentially save up to 20% cost while incurring only a nominal increase in SLA violations. The savings are obtained by exploiting the cost efficiency variation as well as reducing the total number of VMs employed to host applications.
AB - Dynamic Application Hosting Management (DAHM) allows clouds to dynamically host applications in data centers at different locations based on: (i) spatio-temporal variation of energy price, (ii) data center computing and cooling energy efficiency, (iii) Virtual Machine (VM) migration cost for the applications, and (iv) any SLA violations due to migration overhead or network delay. DAHM is complementary to dynamic workload distribution problem and is modeled as mixed integer programming; online algorithms are developed to solve the problem. The algorithms are evaluated in a simulation study using realistic data and compared with performance-oriented application assignment, i.e., hosting the application at a data center whose delay is the least. Our simulations results indicate that DAHM can potentially save up to 20% cost while incurring only a nominal increase in SLA violations. The savings are obtained by exploiting the cost efficiency variation as well as reducing the total number of VMs employed to host applications.
KW - Data center power efficiency
KW - application hosting
KW - cloud computing
UR - http://www.scopus.com/inward/record.url?scp=84863294170&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863294170&partnerID=8YFLogxK
U2 - 10.1109/HiPC.2011.6152731
DO - 10.1109/HiPC.2011.6152731
M3 - Conference contribution
AN - SCOPUS:84863294170
SN - 9781457719516
T3 - 18th International Conference on High Performance Computing, HiPC 2011
BT - 18th International Conference on High Performance Computing, HiPC 2011
T2 - 18th International Conference on High Performance Computing, HiPC 2011
Y2 - 18 December 2011 through 21 December 2011
ER -