Conference
Multi-Resource Partial-Ordered Task Scheduling in cloud computing
Abstract
In this paper, we investigate the scheduling problem with multi-resource allocation in cloud computing environments. In contrast to existing work that focuses on flow-level scheduling, which treats flows in isolation, we consider dependency among subtasks of applications that imposes a partial order relationship in execution. We formulate the problem of Multi-Resource Partial-Ordered Task Scheduling (MR-POTS) to minimize the makespan. In the …
Authors
Zhang C; Cui Y; Zheng R; Jinlong E; Wu J
Pagination
pp. 1-6
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/iwqos.2016.7590423
Name of conference
2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS)