Job Scheduling Strategies for Parallel Processing

Discover the cutting-edge insights in "Job Scheduling Strategies for Parallel Processing," authored by Narayan Desai and published by Springer International Publishing AG in 2017. This comprehensive volume, spanning 279 pages, presents the thoroughly refereed post-conference proceedings from the 19th and 20th International Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP) held in Hyderabad, India, and Chicago, IL, USA. Dive into the latest research and innovative methodologies that address the challenges of job scheduling in parallel processing environments. Perfect for researchers, practitioners, and students, this first edition is an essential addition to your library. Enhance your understanding of effective job scheduling strategies and their applications in parallel processing by securing your copy today!