Name
Abstract | ||
|---|---|---|
The paper presents scalable algorithms for recovery and page coherency in multicomputer object stores. Recovery and coherency are central to object store engineering and distributed memory multicomputers are fundamental to scalable computation. Efficient recovery is implemented through a combination of local logging and a localisation of the transactional workspace model. A vector of update counts is used to efficiently represent global time. The algorithms have been successfully implemented and tested on a 128 node Fujitsu AP1000 distributed memory multicomputer. The paper presents performance results which indicate good performance and scalability for these algorithms under a range of situations. The work is seen as a step in the continuing development of high performance multicomputer object stores |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/HICSS.1997.667336 | System Sciences, 1997, Proceedings of the Thirtieth Hawaii International Conference |
Keywords | Field | DocType |
distributed memory systems,parallel algorithms,storage management,system recovery,128 node Fujitsu AP1000 distributed memory multicomputer,coherency,distributed memory multicomputers,global time,high performance multicomputer object stores,local logging,object store engineering,page coherency,performance results,scalable algorithms,scalable computation,scalable multicomputer object store,transactional workspace model,update counts | Workspace,Parallel algorithm,Computer science,Parallel computing,Distributed memory,Scalable algorithms,Storage management,Global time,Computation,Distributed computing,Scalability | Conference |
Volume | ISSN | ISBN |
1 | 1060-3425 | 0-8186-7743-0 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephen M. Blackburn | 1 | 1067 | 64.22 |
| Robin S. Stanton | 2 | 7 | 1.60 |
| Johnson, C.W. | 3 | 0 | 0.34 |
| stephan j g scheuerl | 4 | 0 | 0.34 |