Name
Title | ||
|---|---|---|
The Self Distributing Virtual Machine (SDVM) - Making Computer Clusters Heal Themselves |
Abstract | ||
|---|---|---|
With the rapidly growing capability of computer architec- tures their complexity grows as well. More and more paral- lelism is necessary to provide the needed computing power. Moreover, systems must adapt to changing environments and cope with a breakdown of components. One approach is to incorporate organic features into computer systems. Organic computers (14) are characterized by self-x proper- ties like self-configuring, self-optimizing, self-healing, and self-protecting. To make a cluster computer behave "organic", it should possess (among other important aspects) some kind of self-healing feature, which detects and deactivates defec- tive components. If a node fails, all data stored in its local memory is lost. Therefore deactivation alone will usually not suffice, as in computer clusters data is often stored in a decentralized way. Concepts have to be developed to store data redundantly and to recover the data in case of a failure. In this paper the concept and features of the implemented prototype of the Self Distributing Virtual Machine (SDVM) is presented. Self-healing will be discussed as one aspect of the functionality of the SDVM. |
Year | Venue | Keywords |
|---|---|---|
2005 | Parallel and Distributed Computing and Networks | cluster computing,parallel processing,fault tolerance,parallel computing systems,parallel computer,fault tolerant |
Field | DocType | Citations |
Virtual machine,Computer science,Self,Computer cluster,Distributed computing | Conference | 1 |
PageRank | References | Authors |
0.37 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan Haase | 1 | 16 | 6.08 |
| Frank Eschmann | 2 | 20 | 3.56 |
| Klaus Waldschmidt | 3 | 122 | 30.92 |