Data-aware Resource Allocation
Data-Aware Resource Allocation is a resource allocation strategy that belongs to the class of data locality optimization techniques, distinguished by its explicit consideration of data location, access patterns, and movement costs when assigning computational tasks to processing units in distributed systems.
38
Publications
1.2K
Citations
126
Authors
62
Institutions
Publications per year
2017–2026
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Parents
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126
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62

National Taiwan University
Taipei, Taiwan
4 h-index
8 publications
188 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
5 publications
135 citations

Nirma University
Ahmedabad, India
2 h-index
1 publications
51 citations
Allen Institute
Seattle, United States
2 h-index
2 publications
64 citations
IBM (United States)
Armonk, United States
2 h-index
9 publications
1K citations

The University of Melbourne
Melbourne, Australia
2 h-index
3 publications
65 citations

Beijing University of Posts and Telecommunications
Beijing, China
1 h-index
2 publications
22 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
92 citations
1–8 of 62
FGCS · 3 publications · 90 citations
3
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2 publications · 124 citations
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TPDS · 2 publications · 40 citations
2
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1 publications · 21 citations
1
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1 publications · 34 citations
1
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1–5