Energy Efficient Scheduling in Heterogeneous Systems with a Parallel Multiobjective Local Search
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Summary
The new ME-MLS method is able to achieve significant improvements in both makespan and energy consumption objectives in reduced execution times for a large set of testbed instances, while exhibiting a near linear speedup behavior when using up to 24 threads.
- Type
- preprint
- Published
- 2013-05-28
- Cited by
- 23
- References
- 34
- Access
- Open access
- OpenAlex
- https://openalex.org/W116450798
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:36575029
Keywords
Computer science, Scheduling (production processes), Distributed computing, Mathematical optimization, Parallel computing
References
- Scheduling with dynamic voltage/speed adjustment using slack reclamation in multi-processor real-time systems
- Handbook of Scheduling: Algorithms, Models, and Performance Analysis
- Intelligent Decision Systems in Large-Scale Distributed Environments
- Evolutionary Algorithms for Solving Multi-Objective Problems
- Multi-objective optimization using evolutionary algorithms
- Comparison and analysis of eight scheduling heuristics for the optimization of energy consumption and makespan in large-scale distributed systems
- A revisit of fast greedy heuristics for mapping a class of independent tasks onto heterogeneous computing systems
- A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems
- A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems
- Multiobjective Scheduling on Distributed Heterogeneous Computing and Grid Environments Using a Parallel Micro-CHC Evolutionary Algorithm
- A Heuristic Energy-aware Scheduling Algorithm for Heterogeneous Clusters
- Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
- Time analysis of standard evolutionary algorithms as software programs
- A Multi-objective GRASP Algorithm for Joint Optimization of Energy Consumption and Schedule Length of Precedence-Constrained Applications
- Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
- Heterogeneous computing scheduling with evolutionary algorithms
- A parallel micro evolutionary algorithm for heterogeneous computing and grid scheduling
- Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters
- Minimizing Energy Consumption for Precedence-Constrained Applications Using Dynamic Voltage Scaling
- Solving very large instances of the scheduling of independent tasks problem on the GPU
Cited by
- Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service
- Energy-aware online scheduling: Ensuring quality of service for IaaS clouds
- Bi-objective online scheduling with quality of service for IaaS clouds
- Controlling datacenter power consumption while maintaining temperature and QoS levels
- A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems
- Holistic multiobjective planning of datacenters powered by renewable energy
- AEDB protocol tuning with a fast efficient parallel multi-objective local search
- An energy-aware scheduling heuristic for distributed systems using non-cooperative games
- Efficient parallel evolutionary algorithms for deadline-constrained scheduling in project management
- A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center
- Heterogeneous Job Consolidation for Power Aware Scheduling with Quality of Service
- Internet Shopping Optimization Project (IShOP)
- On the Heterogeneity Bias of Cost Matrices for Assessing Scheduling Algorithms
- Multiobjective evolutionary algorithms for energy and service level scheduling in a federation of distributed datacenters
- Min_c: Heterogeneous concentration policy for energy-aware scheduling of jobs with resource contention
- The Virtual Savant: Automatic generation of parallel solvers
- AHP Aided Decision-Making in Virtual Machine Migration for Green Cloud
- Planificación de eficiencia energética en centros de supercómputo utilizando energías renovables
- Multiobjective Energy-Aware Workflow Scheduling in Distributed Datacenters
- Multiobjective Energy-Aware Datacenter Planning Accounting for Power Consumption Profiles
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