Using imbalance metrics to optimize task clustering in scientific workflow executions

Weiwei Chen, Rafael Ferreira da Silva, Ewa Deelman, Rizos Sakellariou

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	69-84
Number of pages	16
Journal	Future Generation Computer Systems
Volume	46
DOIs	https://doi.org/10.1016/j.future.2014.09.014
Publication status	Published - 13 Oct 2014

Keywords

@article{4f5c83b833034199bbb2bb430e3aa751,

title = "Using imbalance metrics to optimize task clustering in scientific workflow executions",

keywords = "Scientific workflows, Performance analysis, Scheduling, Workflow simulation, Task clustering, Load balancing",

author = "Weiwei Chen and {da Silva}, {Rafael Ferreira} and Ewa Deelman and Rizos Sakellariou",

year = "2014",

month = oct,

day = "13",

doi = "10.1016/j.future.2014.09.014",

language = "English",

volume = "46",

pages = "69--84",

journal = "Future Generation Computer Systems",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Using imbalance metrics to optimize task clustering in scientific workflow executions

AU - Chen, Weiwei

AU - da Silva, Rafael Ferreira

AU - Deelman, Ewa

AU - Sakellariou, Rizos

PY - 2014/10/13

Y1 - 2014/10/13

KW - Scientific workflows

KW - Performance analysis

KW - Scheduling

KW - Workflow simulation

KW - Task clustering

KW - Load balancing

U2 - 10.1016/j.future.2014.09.014

DO - 10.1016/j.future.2014.09.014

M3 - Article

VL - 46

SP - 69

EP - 84

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

ER -