Genetic algorithm framework for Bi-Objective Task scheduling in cloud computing systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8956, Issue , 2015, Pages 356-359

  Ajeena Beegom, A S ^a   Rajasree, M S ^b  

^a Department of Mechanical Engineering   (India)

^b INDIAN INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT KERALA   (India)

Author keywords

Cloud Computing; Genetic Algorithm; Pareto Optimality; Task Scheduling

Indexed keywords

CLOUD COMPUTING; MULTITASKING; PARETO PRINCIPLE; SCHEDULING ALGORITHMS;

ALGORITHM FRAMEWORK; BUSINESS ENTERPRISE; CLOUD SERVICE PROVIDERS; CONFLICTING OBJECTIVES; INDEPENDENT TASKS; OPTIMAL SCHEDULE; PARETO-OPTIMALITY; TASK-SCHEDULING;

GENETIC ALGORITHMS;

EID: 84922387763     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-14977-6_38     Document Type: Conference Paper

References (6)

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