Dynamic load distribution for parallel applications

This book offers a comprehensive report on load distribution for parallel applications, focusing on the challenges of efficiently distributing application objects like processes and data structures to optimize system resource usage. It presents an in-depth overview of current techniques and systems in load distribution, making it particularly valuable for developers of parallel applications seeking insights in this area. Additionally, it serves as a resource for students and educators in parallel programming courses, as well as researchers conducting in-depth studies. The contents include an introduction, a survey and classification of load distribution strategies, and migration mechanisms. It also discusses exemplary load distribution concepts and systems, such as consistent checkpointing and economic-based dynamic load distribution in large workstation networks. The book highlights various applications, including a middleware-based architecture for load management, cooperative parallel automated theorem proving, automatic test pattern generation, and parallel event-driven simulation of logic circuits. The summary encapsulates the key points discussed throughout the text.