TY - GEN
T1 - Policy-Based QoS Enforcement for Adaptive Big Data Distribution on the Cloud
AU - Kassabi, Hadeel T.El
AU - Taleb, Ikbal
AU - Serhani, Mohamed Adel
AU - Dssouli, Rachida
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/19
Y1 - 2016/5/19
N2 - Big Data distribution has benefited from the Cloud resources to accommodate application's QoS requirements. In this paper, we propose Big Data distribution scheme that matches the Cloud available resources to guarantee application's QoS given the continuously dynamic and varying resources of the Cloud infrastructure. We developed Two-Level QoS Policies (TLPS) for selecting clusters and nodes while satisfying the client's application QoS. We also proposed an adaptive data distribution algorithm to cope with changing QoS requirements. Experiments have been conducted to evaluate both the effectiveness and the communication overhead of our proposed distribution scheme and the results we have reported are convincing. Other experiments evaluated our TLPS algorithm against other single-based QoS data distribution algorithms and the results show that TLPS algorithm adapts to the customer QoS requirements.
AB - Big Data distribution has benefited from the Cloud resources to accommodate application's QoS requirements. In this paper, we propose Big Data distribution scheme that matches the Cloud available resources to guarantee application's QoS given the continuously dynamic and varying resources of the Cloud infrastructure. We developed Two-Level QoS Policies (TLPS) for selecting clusters and nodes while satisfying the client's application QoS. We also proposed an adaptive data distribution algorithm to cope with changing QoS requirements. Experiments have been conducted to evaluate both the effectiveness and the communication overhead of our proposed distribution scheme and the results we have reported are convincing. Other experiments evaluated our TLPS algorithm against other single-based QoS data distribution algorithms and the results show that TLPS algorithm adapts to the customer QoS requirements.
KW - Big Data
KW - Cloud
KW - Cost minimization
KW - Data placement
KW - QoS
KW - distributed data centers
KW - selection policy
UR - http://www.scopus.com/inward/record.url?scp=84973615698&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973615698&partnerID=8YFLogxK
U2 - 10.1109/BigDataService.2016.16
DO - 10.1109/BigDataService.2016.16
M3 - Conference contribution
AN - SCOPUS:84973615698
T3 - Proceedings - 2016 IEEE 2nd International Conference on Big Data Computing Service and Applications, BigDataService 2016
SP - 225
EP - 233
BT - Proceedings - 2016 IEEE 2nd International Conference on Big Data Computing Service and Applications, BigDataService 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2016
Y2 - 29 March 2016 through 1 April 2016
ER -