This paper presents a problem-space genetic algorithm (PSGA)-based technique for efficient matching and scheduling of an application program that can be represented by a directed acyclic graph, onto a mixed-machine distributed heterogeneous computing (DHC) system. PSGA is an evolutionary technique t
โฆ LIBER โฆ
An approach for heterogeneous and loosely coupled geospatial data distributed computing
โ Scribed by Bin Chen; Fengru Huang; Yu Fang; Zhou Huang; Hui Lin
- Book ID
- 113511425
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 377 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0098-3004
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