Performance-aware energy-efficient parallel job scheduling in HPC grid using nature-inspired hybrid meta-heuristics.
Amit ChhabraGurvinder SinghKaranjeet Singh KahlonPublished in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
- nature inspired
- energy efficient
- job scheduling
- metaheuristic
- grid environment
- greedy randomized adaptive search procedure
- identical machines
- ant colony optimization
- wireless sensor networks
- energy consumption
- swarm intelligence
- path relinking
- grid computing
- energy efficiency
- tabu search
- optimization problems
- ant colony optimization algorithm
- scatter search
- sensor networks
- search space
- simulated annealing
- combinatorial optimization
- portfolio management
- particle swarm optimization
- processing times
- traveling salesman problem
- data access
- genetic algorithm
- routing algorithm
- web intelligence
- resource allocation
- scheduling problem
- single machine
- data transfer
- base station
- collective intelligence
- optimal solution
- shared memory
- distributed computing
- data transmission
- routing protocol
- power consumption
- pso algorithm
- artificial intelligence
- evolutionary algorithm
- load balancing
- hyper heuristics
- genetic programming
- data management
- information processing
- parallel computing
- lower bound
- search algorithm
- scheduling algorithm