An introduction to distributed and parallel computing
An introduction to distributed and parallel computing
Introduction to parallel computing
Introduction to parallel computing
Modern operating systems
Internetworking with TCP/IP vol. III: client-server programming and applications
Internetworking with TCP/IP vol. III: client-server programming and applications
Automated learning of load-balancing strategies for a distributed computer system
Automated learning of load-balancing strategies for a distributed computer system
Foundations of Parallel Programming: A Machine-Indepedent Approach
Foundations of Parallel Programming: A Machine-Indepedent Approach
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Distributed Systems: Concepts and Design
Distributed Systems: Concepts and Design
Distributed Computing: Concepts and Implementations
Distributed Computing: Concepts and Implementations
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
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In distributed systems, load distribution and balancing are primary functions addressed to improvements on system performance and additional user comfort. Incoming task allocation and remote process execution are main responsibilities of a well designed system to achieve such performance improvements. Both aspects involve a number of non trivial tasks.As a basement for further automatic system decision in a distributed environment, this paper propose a user-supervised processor allocation scheduler, shows which information should be collected and when and how to collect and disseminate it to support the user decision.The main problems to be considered when implementing remote process execution are discussed and a design for an alternative system attempting to solve these problems is also shown.