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Resource-Constrained Sensing as a Shared Utility- [electronic resource]
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Resource-Constrained Sensing as a Shared Utility- [electronic resource]
자료유형  
 학위논문
Control Number  
0016931313
International Standard Book Number  
9798380620185
Dewey Decimal Classification Number  
621.3
Main Entry-Personal Name  
Adkins, Joshua David.
Publication, Distribution, etc. (Imprint  
[S.l.] : University of California, Berkeley., 2022
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2022
Physical Description  
1 online resource(125 p.)
General Note  
Source: Dissertations Abstracts International, Volume: 85-04, Section: A.
General Note  
Advisor: Dutta, Prabal;Wawrzynek, John.
Dissertation Note  
Thesis (Ph.D.)--University of California, Berkeley, 2022.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Summary, Etc.  
요약Cloud computing revolutionized the ease with which we can build, deploy, and scale distributed computing services. These advances, however, have not extended to the physically distributed and resource-constrained computers deployed throughout the world to collect data, and their resource constraints have thus far confined them to function as inefficient, fixed-purpose data forwarders. Breaking these distributed sensors free of their resource-constraints by including them in a dynamic, programmable, distributed system will not only enable easier deployment and scaling of applications relying on their data, but it will also give us the ability to collect and process never-before-seen data and discover new ways sensing the world around us.We enable this vision in two parts. First we present a signpost-based platform which eases the building and deployment of sensors by providing the core services and hardware necessary for them to function. Next we explore the benefits of, and build a resource manager to form these resource-constrained sensors into a compute cluster akin to those found in the cloud. This enables multiple users to simultaneous program a cluster of sensors and quickly iterate on their programs through an application framework which abstracts away the details of scheduling and task distribution. By forming these sensors into a multiprogrammable cluster, we enable them to be accessed as a shared sensing utility rather than as a collection of individual nodes.
Subject Added Entry-Topical Term  
Electrical engineering.
Subject Added Entry-Topical Term  
Computer science.
Subject Added Entry-Topical Term  
Communication.
Index Term-Uncontrolled  
Cluster
Index Term-Uncontrolled  
Distributed system
Index Term-Uncontrolled  
Programming
Index Term-Uncontrolled  
Sensors
Index Term-Uncontrolled  
Cloud computing
Added Entry-Corporate Name  
University of California, Berkeley Electrical Engineering
Host Item Entry  
Dissertations Abstracts International. 85-04A.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:641739
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