"Scheduling Problems: New Applications and Trends" ed. by Rodrigo Righi

This book presents some new applications and trends related to task and data scheduling. This book presents novel algorithms and literature reviews that will guide current and new researchers who work with load balancing, scheduling, and allocation problems.

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. Chapters focus on data science, big data, high-performance computing, and Cloud computing environments.


Contents
1.Global Optimization Using Local Search Approach for Course Scheduling Problem
2.Real-Time Scheduling Method for Middleware of Industrial Automation Devices
3.Intelligent Workload Scheduling in Distributed Computing Environment for Balance between Energy Efficiency and Performance
4.Approximation for Scheduling on Parallel Machines with Fixed Jobs or Unavailability Periods
5.An Empirical Survey on Load Balancing: A Nature-Inspired Approach
6.Looking at Data Science through the Lens of Scheduling and Load Balancing
7.Types of Task Scheduling Algorithms in Cloud Computing Environment