Quality of Service (QoS) Aware Workflow Scheduling (WFS) in Cloud Computing: A Systematic Review View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-11-03

AUTHORS

Simranjit Kaur, Pallavi Bagga, Rahul Hans, Harjot Kaur

ABSTRACT

Workflow scheduling concerns the mapping of complex tasks to cloud resources by taking into account various Quality of Service 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 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. More... »

PAGES

2867-2897

References to SciGraph publications

  • 2008-09-11. A review of estimation of distribution algorithms in bioinformatics in BIODATA MINING
  • 2012-09-29. Dependable Grid Workflow Scheduling Based on Resource Availability in JOURNAL OF GRID COMPUTING
  • 2009-05-06. DAGMap: efficient and dependable scheduling of DAG workflow job in Grid in THE JOURNAL OF SUPERCOMPUTING
  • 2009-12-22. Towards the Scheduling of Multiple Workflows on Computational Grids in JOURNAL OF GRID COMPUTING
  • 2015-12-16. A Hybrid Genetic Algorithm for Privacy and Cost Aware Scheduling of Data Intensive Workflow in Cloud in ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING
  • 2018-03-21. Critical Path-Based Ant Colony Optimization for Scientific Workflow Scheduling in Cloud Computing Under Deadline Constraint in AMBIENT COMMUNICATIONS AND COMPUTER SYSTEMS
  • 2011-08-03. HCOC: a cost optimization algorithm for workflow scheduling in hybrid clouds in JOURNAL OF INTERNET SERVICES AND APPLICATIONS
  • 2000. Evaluation of Job-Scheduling Strategies for Grid Computing in GRID COMPUTING — GRID 2000
  • 2015-05-14. Workflow scheduling in cloud: a survey in THE JOURNAL OF SUPERCOMPUTING
  • 2015-08-20. Cost-Time Efficient Scheduling Plan for Executing Workflows in the Cloud in JOURNAL OF GRID COMPUTING
  • 2014. A Genetic Algorithm for Scheduling Workflow Applications in Unreliable Cloud Environment in RECENT TRENDS IN COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS SECURITY
  • 2014. Hybrid Job Scheduling Algorithm for Cloud Computing Environment in PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS IBICA 2014
  • 2015-06-30. Adaptive dual-criteria task group allocation for clustering-based multi-workflow scheduling on parallel computing platform in THE JOURNAL OF SUPERCOMPUTING
  • 2014-03-23. A Budget Constrained Scheduling Algorithm for Workflow Applications in JOURNAL OF GRID COMPUTING
  • 2016-01-07. Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints in CLUSTER COMPUTING
  • 2000-10. Hybrid Genetic Algorithms for Telecommunications Network Back-Up Routeing in BT TECHNOLOGY JOURNAL
  • 2013-05-30. HSGA: a hybrid heuristic algorithm for workflow scheduling in cloud systems in CLUSTER COMPUTING
  • 2014-02-22. Cost optimal scheduling in IaaS for dependent workload with particle swarm optimization in THE JOURNAL OF SUPERCOMPUTING
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