DocumentCode
555331
Title
Architecture evaluation without an architecture: experience with the smart grid
Author
Kazman, Rick ; Bass, Len ; Ivers, James ; Moreno, Gabriel A.
Author_Institution
Software Eng. Inst., Univ. of Hawaii, Pittsburgh, PA, USA
fYear
2011
fDate
21-28 May 2011
Firstpage
663
Lastpage
670
Abstract
This paper describes an analysis of some of the challenges facing one portion of the Electrical Smart Grid in the United States - residential Demand Response (DR) systems. The purposes of this paper are twofold: 1) to discover risks to residential DR systems and 2) to illustrate an architecture-based analysis approach to uncovering risks that span a collection of technical and social concerns. The results presented here are specific to residential DR but the approach is general and it could be applied to other systems within the Smart Grid and to other critical infrastructure domains. Our architecture-based analysis is different from most other approaches to analyzing complex systems in that it addresses multiple quality attributes simultaneously (e.g., performance, reliability, security, modifiability, usability, etc.) and it considers the architecture of a complex system from a socio-technical perspective where the actions of the people in the system are as important, from an analysis perspective, as the physical and computational elements of the system. This analysis can be done early in a system´s lifetime, before substantial resources have been committed to its construction or procurement, and so it provides extremely cost-effective risk analysis.
Keywords
demand side management; large-scale systems; risk analysis; smart power grids; software architecture; United States residential demand response system; architecture evaluation; complex system; cost-effective risk analysis; quality attributes; residential DR system; risk discovery; smart grid; socio-technical concern; Computer architecture; Electricity; Load management; Pricing; Reliability; Security; Smart grids; architecture analysis; smart grid; socio-technical systems; ultra-large-scale systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (ICSE), 2011 33rd International Conference on
Conference_Location
Honolulu, HI
ISSN
0270-5257
Print_ISBN
978-1-4503-0445-0
Electronic_ISBN
0270-5257
Type
conf
DOI
10.1145/1985793.1985886
Filename
6032507
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