Abstract
Workflow scheduling concerns the mapping of complex tasks to cloud resources by taking into account various Quality of Service (QoS) requirements. In virtue of continuous proliferation in the exploration of cloud computing, it has become stringent to find the proper scheduling scheme for the execution of workflow
under user specifications. Moreover, till the date, there exists no systematic review of the existing numerous techniques for this NP-complete problem in the cloud. Taking this into account, the present study seeks to address this gap and spotlights the comprehensive taxonomy of various scheduling schemes as well as
extensively compares them by illuminating their objectives, features, merits, and demerits. This paper also highlights the future research challenges with an aim to foster more research in the realm of workflow scheduling as an optimization task.
under user specifications. Moreover, till the date, there exists no systematic review of the existing numerous techniques for this NP-complete problem in the cloud. Taking this into account, the present study seeks to address this gap and spotlights the comprehensive taxonomy of various scheduling schemes as well as
extensively compares them by illuminating their objectives, features, merits, and demerits. This paper also highlights the future research challenges with an aim to foster more research in the realm of workflow scheduling as an optimization task.
| Original language | English |
|---|---|
| Pages (from-to) | 2867-2897 |
| Number of pages | 31 |
| Journal | Arabian Journal for Science and Engineering |
| Volume | 44 |
| Issue number | 4 |
| Early online date | 3 Nov 2018 |
| DOIs | |
| Publication status | Published - Apr 2019 |