Resource-constrained Computing
Resource-Constrained Computing is a computational paradigm characterized by the design and execution of computing tasks on systems with severely limited processing power, memory, storage, and energy resources, distinguishing it from general-purpose computing through its emphasis on efficiency, optimization, and adaptability within embedded and edge devices, particularly in IoT ecosystems.
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2017–2026
775
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BOINC: A System for Public-Resource Computing and Storage
David P. Anderson · 2005 · 1.9K citations
Philip Levis, David Culler · 2002 · 1K citations
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Beijing University of Posts and Telecommunications
Beijing, China
29 h-index
132 publications
9K citations

Xidian University
Xi'an, China
19 h-index
50 publications
5.2K citations
Tsinghua University
Beijing, China
17 h-index
36 publications
1.9K citations

Harbin Institute of Technology
Harbin, China
14 h-index
33 publications
2.1K citations

Shenzhen University
Shenzhen, China
14 h-index
28 publications
3.3K citations
Kyung Hee University
Seoul, South Korea
14 h-index
31 publications
1.5K citations

Central South University
Changsha, China
14 h-index
42 publications
3.5K citations
Princeton University
Princeton, United States
13 h-index
28 publications
1.9K citations
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114 publications · 7.1K citations
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53 publications · 2.5K citations
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25 publications · 938 citations
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Repository · 23 publications · 844 citations
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