Job Scheduling Strategies for Parallel Processing

New Challenges of Parallel Job Scheduling.- Group-Wise Performance Evaluation of Processor Co-allocation in Multi-cluster Systems.- Enhancing an Open Source Resource Manager with Multi-core/Multi-threaded Support.- A Job Self-scheduling Policy for HPC Infrastructures.- QBETS: Queue Bounds Estimation from Time Series.- Probabilistic Backfilling.- Impact of Reservations on Production Job Scheduling.- Prospects of Collaboration between Compute Providers by Means of Job Interchange.- GridARS: An Advance Reservation-Based Grid Co-allocation Framework for Distributed Computing and Network Resources.- A Self-optimized Job Scheduler for Heterogeneous Server Clusters.