Name
Abstract | ||
|---|---|---|
Grid computing has emerged as a way to share geographically and organizationally distributed resources that may belong to different institutions or administrative domains. In this context, the scheduling and resource management is usually performed by ... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/HPCC.2009.100 | HPCC |
Keywords | Field | DocType |
grid computing,share geographically,different institution,administrative domain,parallel dna,resource management,biology,concurrent computing,resource allocation,scheduling algorithm,numerical analysis,numerical simulation,dna,dna computing,load distribution,parallel algorithms,sequences,computational modeling,bioinformatics,dna sequence,algorithm design and analysis,needleman wunsch algorithm | Algorithm design,Computer science,Scheduling (computing),Parallel algorithm,Parallel computing,Real-time computing,Needleman–Wunsch algorithm,Resource allocation,DNA sequencing,Numerical analysis,Distributed computing,Computation | Conference |
Citations | PageRank | References |
2 | 0.37 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudha Gunturu | 1 | 2 | 0.37 |
| Xiaolin Li | 2 | 405 | 37.36 |
| Laurence Tianruo Yang | 3 | 30 | 4.05 |