DocumentCode :
237129
Title :
Elastic Infrastructure to Support Computing Clouds for Large-Scale Cyber-Physical Systems
Author :
Schmidt, D.C. ; White, Jonathan ; Gill, Christopher D.
Author_Institution :
EECS Dept., Vanderbilt Univ., Nashville, TN, USA
fYear :
2014
fDate :
10-12 June 2014
Firstpage :
56
Lastpage :
63
Abstract :
Large-scale cyber-physical systems (CPS) in mission-critical areas such as transportation, health care, energy, agriculture, defense, homeland security, and manufacturing, are becoming increasingly interconnected and interdependent. These types of CPS are unique in their need to combine rigorous control over timing and physical properties, as well as functional ones, while operating dynamically, reliably and affordably over significant scales of distribution, resource consumption, and utilization. As large-scale CPS continue to evolve-and grow in scale and complexity-they will impose significant and novel requirements for a new kind of cloud computing that is not supported by conventional technologies To meet these requirements, cloud computing advances are needed to establish real-time computing, communication, and control foundations rigorously at scale. Likewise, advances are needed to apply these foundations in a flexible and scalable manner to different real-world large-scale CPS challenge problems. To support both foundational and experimental R&D, a new generation of elastic infrastructure must be designed, developed, and evaluated. This paper identifies challenges, opportunities, and benefits for this work and for the largescale CPS it targets.
Keywords :
cloud computing; middleware; cloud computing; elastic infrastructure; experimental R&D; foundational R&D; large-scale CPS; large-scale cyber-physical systems; mission-critical areas; Cloud computing; Hardware; Quality of service; Real-time systems; Reliability; Resource management; Computing Clouds for Cyber-Physical Systems; Data Distribution Service; Middleware;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC), 2014 IEEE 17th International Symposium on
Conference_Location :
Reno, NV
ISSN :
1555-0885
Type :
conf
DOI :
10.1109/ISORC.2014.61
Filename :
6899131
Link To Document :
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