A Fully Hybrid Algorithm for Deadline Constrained Workflow Scheduling in Clouds
Author:
Affiliation:
1. School of Automation, Beijing Institute of Technology, Beijing, China
2. School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Software
Link
http://xplorestaging.ieee.org/ielx7/6245519/6562694/10106473.pdf?arnumber=10106473
Reference46 articles.
1. Deadline constrained cloud computing resources scheduling for cost optimization based on dynamic objective genetic algorithm
2. A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues
3. Deadline Constrained Cloud Computing Resources Scheduling through an Ant Colony System Approach
4. A fast and elitist multiobjective genetic algorithm: NSGA-II
5. A hybrid genetic algorithm for optimization of scheduling workflow applications in heterogeneous computing systems
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