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Scheduling is defined as the process of assigning operations to resources over time to optimize a criterion. Problems with scheduling comprise both a set of resources and a set of a consumers. As such, managing scheduling problems involves managing the use of resources by several consumers. This book presents some new applications and trends related to task and data scheduling. In particular, chapters focus on data science, big data, high-performance computing, and Cloud computing environments. In addition, this book presents novel algorithms and literature reviews that will guide current and new researchers who work with load balancing, scheduling, and allocation problems.

Computer scheduling.

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Scheduling is defined as the process of assigning operations to resources over time to optimize a criterion. Problems with scheduling comprise both a set of resources and a set of a consumers. As such, managing scheduling problems involves managing the use of resources by several consumers. This book presents some new applications and trends related to task and data scheduling. In particular, chapters focus on data science, big data, high-performance computing, and Cloud computing environments. In addition, this book presents novel algorithms and literature reviews that will guide current and new researchers who work with load balancing, scheduling, and allocation problems.

Computer scheduling.

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Ordonnancement (gestion) --- Ordonnancement (informatique) --- Computer scheduling. --- Production scheduling --- Informatique. --- Data processing.

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Computer multitasking --- Computer scheduling --- Electronic data processing --- Parallel processing (Electronic computers) --- Distributed processing

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Reviewing classical methods, realistic models, and algorithms, this book offers a through introduction to scheduling. Coverage includes fundamental concepts and basic methods, recent research, and applications with a special focus on distributed systems and computational grids. Other topics include online scheduling, stochastic task-resource systems, and platform models. Examples, theorems, and pedagogical proofs create an interactive learning format. Though rigorous, the book provides enough background to be self-contained and fully accessible to computer scientists, mathematicians, and resea

Electronic data processing --- Computer scheduling --- Multiprocessors. --- Computational grids (Computer systems) --- Distributed processing. --- Mathematical models.