Lately, distributed computing (DC) has emerged in several application scenarios such as grid computing, high-performance and reconfigurable computing,wireless sensor networks, peer-to-peer networks,and donation grids. When DC is performed in these scenarios, the distributed computing system (DCS) supporting the applications not only exhibits heterogeneous computing resources and a significant communication latency, but also becomes highly dynamic due to the communication network as well as the computing servers are affected by a wide class of anomalies that change the topology of the system in a random fashion. These anomalies exhibit spatial and/ortemporal correlation, may inflict a large amount of damage to the system, and induce further failures in other servers. In order to provide a robust DC environment in the presence of component failures, it is key to develop a general framework for accuratelymodeling the complex dynamics of a DCS. In this book a general probabilistic approach has been undertaken for modeling and characterizing the performance and reliability of a general class of DCSs.
| Autorius: | Jorge E. Pezoa |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2011 |
| Knygos puslapių skaičius: | 136 |
| ISBN-10: | 3845416351 |
| ISBN-13: | 9783845416359 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Email: consumer / user guides |
Parašykite atsiliepimą apie „Theory of Resource Allocation for Robust Distributed Computing: An Age-dependent Regeneration Approach“
