國立虎尾科技大學 |

Designing Predictable Time-Aware and Energy-Efficient Cyber-Physical Systems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Designing Predictable Time-Aware and Energy-Efficient Cyber-Physical Systems./
作者:	D’souza, Sandeep Maurice.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	297 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-09, Section: B.
Contained By:	Dissertations Abstracts International81-09B.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27672169
ISBN:	9781392579183

Designing Predictable Time-Aware and Energy-Efficient Cyber-Physical Systems.
D’souza, Sandeep Maurice.

Designing Predictable Time-Aware and Energy-Efficient Cyber-Physical Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 297 p.

Source: Dissertations Abstracts International, Volume: 81-09, Section: B.

Thesis (Ph.D.)--Carnegie Mellon University, 2019.

This item must not be sold to any third party vendors.

Cyber-physical systems (CPS) involve the cyber components of computing and communication interacting with and controlling elements in the physical world. Emerging CPS are increasingly distributed and perform coordinated sensing and actuation over large geographical areas. Examples include local-scale industrial robots, city-scale traffic management, and regional/continental-scale smart grids. Hence, a hierarchy of resource-constrained embedded sensing/actuation nodes, edge cloudlets and the cloud will be key to enable scalable coordination, while simultaneously hosting the intelligence behind these systems. To meet the low-latency real-time requirements of CPS, these platforms typically harness a variety of computing resources ranging from multi-core processors to hardware accelerators such as general-purpose Graphics-Processing Units (GP-GPUs). In conjunction with low latency, a shared and precise notion of time is key to enabling coordinated action in distributed CPS. Hence, in this dissertation, we introduce abstractions, system-design methodologies and frameworks that enable time-based coordination in geo-distributed cyber-physical systems. While a shared notion of time enables coordination at the distributed scope, to coordinate effectively it is also necessary to simultaneously schedule multiple application components at the scope of each node, such that all deadlines are met, while ensuring that the resource/physical constraints of the system are satisfied. Therefore, this dissertation also introduces energy-, thermal- and resource-efficient analyzable real-time scheduling techniques for applications deployed on platforms utilizing both multi-core processors and hardware accelerators. Our proposed solutions are readily applicable to commodity embedded, edge and cloud platforms, and together can enable time-aware and energy-efficient CPS.

ISBN: 9781392579183Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Clock synchronization

Designing Predictable Time-Aware and Energy-Efficient Cyber-Physical Systems.
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