TY - GEN
T1 - Online multi-resource scheduling for minimum task completion time in cloud servers
AU - Noroozoliaee, Mohammadjavad
AU - Hamdaoui, Bechir
AU - Guizani, Mohsen
AU - Ben Ghorbel, Mahdi
PY - 2014
Y1 - 2014
N2 - We design a simple and efficient online scheme for scheduling cloud tasks requesting multiple resources, such as CPU and memory. The proposed scheme reduces the queuing delay of the cloud tasks by accounting for their execution time lengths. We also derive bounds on the average queuing delays, and evaluate the performance of our proposed scheme and compare it with those achievable under existing schemes by relying on real Google data traces. Using this data, we show that our scheme outperforms the other schemes in terms of resource utilizations as well as average task queuing delays.
AB - We design a simple and efficient online scheme for scheduling cloud tasks requesting multiple resources, such as CPU and memory. The proposed scheme reduces the queuing delay of the cloud tasks by accounting for their execution time lengths. We also derive bounds on the average queuing delays, and evaluate the performance of our proposed scheme and compare it with those achievable under existing schemes by relying on real Google data traces. Using this data, we show that our scheme outperforms the other schemes in terms of resource utilizations as well as average task queuing delays.
UR - http://www.scopus.com/inward/record.url?scp=84904512102&partnerID=8YFLogxK
U2 - 10.1109/INFCOMW.2014.6849261
DO - 10.1109/INFCOMW.2014.6849261
M3 - Conference contribution
AN - SCOPUS:84904512102
SN - 9781479930883
T3 - Proceedings - IEEE INFOCOM
SP - 375
EP - 379
BT - 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
Y2 - 27 April 2014 through 2 May 2014
ER -