Static resource allocation for heterogeneous computing environments with tasks having dependencies, priorities, deadlines, and multiple versions

Journal of Parallel and Distributed Computing

Volumn 68, Issue 11, 2008, Pages 1504-1516

  Braun, Tracy D ^a   Siegel, Howard Jay ^b,c   Maciejewski, Anthony A ^b   Hong, Ye ^b  

^a PURDUE UNIVERSITY   (United States)

^b Engineering Research Center and Hydraulics Laboratory   (United States)

^c Colorado State University   (United States)

Author keywords

Deadlines; Genetic algorithms; Heterogeneous computing; Mapping; Min min; Priorities; Resource allocation; Resource management; Scheduling

Indexed keywords

BIOELECTRIC PHENOMENA; COMPUTER SYSTEMS; GENETIC ALGORITHMS; HEURISTIC METHODS; HEURISTIC PROGRAMMING; MANAGEMENT; NUCLEAR PROPULSION; PLANNING; RESOURCE ALLOCATION; SCHEDULING;

COMPUTATIONAL CAPABILITIES; COMPUTATIONAL DEMANDS; DEADLINES; GENETIC ALGORITHM (GA); HETEROGENEOUS COMPUTING; HEURISTIC TECHNIQUES; MAPPING; MAPPING PROBLEMS; MIN-MIN; NEAR-OPTIMAL SOLUTIONS; NP-COMPLETE; PERFORMANCE MEASURE; PRIORITIES; RESOURCE MANAGEMENT; SCHEDULING PROCESS; SIMULATION STUDIES; STATIC RESOURCES; SUB-TASKS; TASK EXECUTIONS; TWO PHASE;

CONFORMAL MAPPING;

EID: 52949143461     PISSN: 07437315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpdc.2008.06.006     Document Type: Article

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