All Stories

  1. Multiobjective evolutionary algorithms for energy and service level scheduling in a federation of distributed datacenters
  2. Multiobjective Energy-Aware Workflow Scheduling in Distributed Datacenters
  3. Multiobjective scheduling of green-powered datacenters considering QoS and budget objectives
  4. Metaheuristics for the Virtual Machine Mapping Problem in Clouds
  5. Efficient Heuristics for Profit Optimization of Virtual Cloud Brokers
  6. A parallel local search in CPU/GPU for scheduling independent tasks on large heterogeneous computing systems
  7. Evolutionary algorithms for affinity scheduling heuristics in heterogeneous computing systems
  8. A multiobjective evolutionary algorithm for QoS-aware planning in heterogeneous computing systems
  9. MBSPDiscover: An Automatic Benchmark for MultiBSP Performance Analysis
  10. An Empirical Study of the Robustness of Energy-Aware Schedulers for High Performance Computing Systems under Uncertainty
  11. AEDB protocol tuning with a fast efficient parallel multi-objective local search
  12. A Parallel Hybrid Evolutionary Algorithm for the Optimization of Broker Virtual Machines Subletting in Cloud Systems
  13. A Parallel Multi-objective Local Search for AEDB Protocol Tuning
  14. Multiobjective grid scheduling using a domain decomposition based parallel micro evolutionary algorithm
  15. Solving Very Large Optimization Problems (Up to One Billion Variables) with a Parallel Evolutionary Algorithm in CPU and GPU