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Resource-Constrained Sensing as a Shared Utility- [electronic resource]
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
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:641739