TY - GEN
T1 - An approach to dominant resource fairness in distributed environment
AU - Zhu, Qinyun
AU - Oh, Jae C
PY - 2015
Y1 - 2015
N2 - We study the multi-type resource allocation problem in distributed computing environment. Current approaches that guarantee the conditions of Dominant Resource Fairness (DRF) are centralized algorithms. However, as P2P cloud systems gain more popularity, distributed algorithms that satisfy conditions of DRF are in demand. So we propose a distributed algorithm that mostly satisfies DRF conditions. According to our simulation results, our distributed dominant resource fairness algorithm outperforms a naive distributed extension of DRF.
AB - We study the multi-type resource allocation problem in distributed computing environment. Current approaches that guarantee the conditions of Dominant Resource Fairness (DRF) are centralized algorithms. However, as P2P cloud systems gain more popularity, distributed algorithms that satisfy conditions of DRF are in demand. So we propose a distributed algorithm that mostly satisfies DRF conditions. According to our simulation results, our distributed dominant resource fairness algorithm outperforms a naive distributed extension of DRF.
KW - Distributed decision making
KW - Distributed resource allocation
KW - Dominant resource fairness
UR - http://www.scopus.com/inward/record.url?scp=84946412089&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946412089&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-19066-2_14
DO - 10.1007/978-3-319-19066-2_14
M3 - Conference contribution
AN - SCOPUS:84946412089
SN - 9783319190655
VL - 9101
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 141
EP - 150
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
T2 - 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015
Y2 - 10 June 2015 through 12 June 2015
ER -