Abstract
Large-scale distributed computing systems and infrastructure, such as Grids, P2P systems and desktop Grid platforms, are decentralized, pervasive, and composed of a large number of autonomous entities. The complexity of these systems is such that human administration is nearly impossible and centralized or hierarchical control is highly inefficient. These systems need to run on highly dynamic environments, where content, network topologies and workloads are continuously changing. Moreover, they are characterized by the high degree of volatility of their components and the need to provide efficient service management and to handle efficiently large amounts of data. This paper describes some of the areas for which adaptation emerges as a key feature, namely, the management of computational Grids, the self-management of desktop Grid platforms and the monitoring and healing of complex applications. It also elaborates on the use of bio-inspired algorithms to achieve self-management. Related future trends and challenges are described.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer US
About this paper
Cite this paper
Fragopoulou, P., Mastroianni, C., Montero, R., Andrjezak, A., Kondo, D. (2010). Self-* and Adaptive Mechanisms for Large Scale Distributed Systems. In: Desprez, F., Getov, V., Priol, T., Yahyapour, R. (eds) Grids, P2P and Services Computing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6794-7_12
Download citation
DOI: https://doi.org/10.1007/978-1-4419-6794-7_12
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-6793-0
Online ISBN: 978-1-4419-6794-7
eBook Packages: Computer ScienceComputer Science (R0)