TY - GEN
T1 - Data-aware scheduling of scientific workflows in hybrid clouds
AU - Pasdar, Amirmohammad
AU - Almi’ani, Khaled
AU - Lee, Young Choon
PY - 2018
Y1 - 2018
N2 - In this paper, we address the scheduling of scientific workflows in hybrid clouds considering data placement and present the Hybrid Scheduling for Hybrid Clouds (HSHC) algorithm. HSHC is a two-phase scheduling algorithm with a genetic algorithm based static phase and dynamic programming based dynamic phase. We evaluate HSHC with both a real-world scientific workflow application and random workflows in terms of makespan and costs.
AB - In this paper, we address the scheduling of scientific workflows in hybrid clouds considering data placement and present the Hybrid Scheduling for Hybrid Clouds (HSHC) algorithm. HSHC is a two-phase scheduling algorithm with a genetic algorithm based static phase and dynamic programming based dynamic phase. We evaluate HSHC with both a real-world scientific workflow application and random workflows in terms of makespan and costs.
UR - http://www.scopus.com/inward/record.url?scp=85049052646&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-93713-7_68
DO - 10.1007/978-3-319-93713-7_68
M3 - Conference proceeding contribution
AN - SCOPUS:85049052646
SN - 9783319937120
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 708
EP - 714
BT - Computational Science – ICCS 2018
A2 - Shi, Yong
A2 - Fu, Haohuan
A2 - Tian, Yingjie
A2 - Krzhizhanovskaya, Valeria V.
A2 - Lees, Michael Harold
A2 - Dongarra, Jack
A2 - Sloot, Peter M.
PB - Springer-VDI-Verlag GmbH & Co. KG
CY - Cham
T2 - 18th International Conference on Computational Science, ICCS 2018
Y2 - 11 June 2018 through 13 June 2018
ER -