Paper Info
Title
Energy Efficient Level By Level Scheduling For Multiple Workflows In Cloud
Abstract
Cloud computing provides paradigms for hosting a large number of services by providing configurable computing resources on demand, causing multiple applications to be hosted simultaneously in the form of multiple workflows which requires large scale data centers. The reduction in energy consumption is one of the major concerns of large-scale data centers. In this article, the authors develop a multiple workflow scheduling heuristic with the aim to reduce energy consumption along with the execution time. In the proposed approach, first tasks are considered level by level following the precedence constraints as a result of the tasks multiple DAGs could run in parallel. The tasks at each level are considered in the order of their ranking and scheduled on the efficient processor based on their estimated finish time where idle slots of resources are used to reduce the overall makespan and energy consumption. Finally, DVFS is applied during idle slots and the communication phase to reduce energy consumption further by scaling the frequency to appropriate level.
Year
DOI
Venue
2019
10.4018/IJSI.2019070106
INTERNATIONAL JOURNAL OF SOFTWARE INNOVATION
Keywords
DocType
Volume
DVFS, Energy Consumption, Makespan, Level Scheduling, Multiple Workflows, Scheduling
Journal
7
Issue
ISSN
Citations 
3
2166-7160
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
ritu garg164.50
Neha Shukla200.68