Abstract
Distributed computing environments such as loosely coupled parallel computers and workstation networks are more and more used as cost effective platforms for complex applications requiring large amounts of system resources. In contrast to tightly coupled parallel architectures using common resources like main memory and external devices, parallelization in distributed architectures has to consider unequal distribution of load among resources and also the communication amount between the components of the complete system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
T. L. Casavant and J. G. Kuhl. A Taxonomy of Scheduling in General—Purpose Distributed Computing Systems. IEEE Transactions on Software Engineering, 14(2):141–154, 1988.
T. Ludwig. Automatische Lastverwaltung für Parallelrechner. Informatik 94. BI-Wissenschaftsverlag, 1993.
L. Turcotte. A Survey of Software Environments for Exploiting Networked Computing Resources. Technical Report MSU-EIRS-93–2, NSF Engineering Research Center for Computational Field Simulation, Mississippi State University, Starkville, 1993.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Fachmedien Wiesbaden
About this chapter
Cite this chapter
Schnekenburger, T., Stellner, G. (1997). Introduction. In: Schnekenburger, T., Stellner, G. (eds) Dynamic Load Distribution for Parallel Applications. TEUBNER-TEXTE zur Informatik, vol 24. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-663-01522-2_1
Download citation
DOI: https://doi.org/10.1007/978-3-663-01522-2_1
Publisher Name: Vieweg+Teubner Verlag, Wiesbaden
Print ISBN: 978-3-8154-2309-7
Online ISBN: 978-3-663-01522-2
eBook Packages: Springer Book Archive