Name
Abstract | ||
|---|---|---|
We present the availability model of a high availability SIP Application Server configuration on WebSphere. Hardware,operating system and application server failures are considered. Different types of fault detectors, detection delays,failover delays, restarts, reboots and repairs are considered.Imperfect coverages for detection, failover and recovery are incorporated. Computations are based on a set of interacting sub-models of all system components capturing their failure and recovery behavior. The parameter values used in the calculations are based on several sources,including field data, high availability testing, and agreed upon assumptions. In cases where a parameter value is uncertain,due to assumptions or limited test data, a sensitivity analysis of that parameter has been provided. Our analysis indicates the failure types and recovery parameters that are most critical in their impact on overall system availability. These results will help guide system improvement efforts throughout future releases of these products. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/PRDC.2008.50 | PRDC '08 Proceedings of the 2008 14th IEEE Pacific Rim International Symposium on Dependable Computing |
Keywords | Field | DocType |
parameter value,recovery behavior,availability model,application server failure,availability modeling,high availability testing,recovery parameter,system component,sip protocol,overall system availability,high availability,guide system improvement effort,operating system,software reliability,fault tolerant,application server,servers,availability,fault tolerance,maintenance engineering,fault trees,sensitivity analysis | Failover,Computer science,Server,Real-time computing,Fault tolerance,Test data,Fault tree analysis,High availability,Reliability engineering,Maintenance engineering,Distributed computing,Application server | Conference |
ISBN | Citations | PageRank |
978-0-7695-3448-0 | 22 | 1.41 |
References | Authors | |
5 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Trivedi, K.S. | 1 | 7721 | 700.23 |
| Dazhi Wang | 2 | 194 | 12.64 |
| D. Jason Hunt | 3 | 22 | 1.41 |
| A. Rindos | 4 | 40 | 3.26 |
| W. Earl Smith | 5 | 22 | 1.41 |
| Bart Vashaw | 6 | 22 | 1.41 |