TY - GEN
T1 - Policy-based automation to improve solution engineering in IT services
AU - Sarkar, Ronnie
AU - Devarakonda, Murthy
AU - Tanner, Axel
PY - 2007/10/18
Y1 - 2007/10/18
N2 - IT outsourcing service providers are increasingly required to balance cost-reduction challenges with quality-improvement goals. Such efforts can be aided by an improved methodology for services solution engineering - which involves requirements analysis, mapping requirements to service provider capabilities, documenting the service design and defining transformations of the customer's environment to facilitate more efficient service delivery. One such improved methodology leverages reuse in the form of a taxonomy of standardized service offerings and a repository of standardized service designs they can be mapped to. In this paper, we describe a prototype system that provides automation for such a methodology, by encoding design policies that are used to assist solution architects in gathering relevant information from the customer and cross checking design decisions. This paper presents the system architecture, discusses sources and models of knowledge, and illustrates how this knowledge can be used with specific examples from the services field.
AB - IT outsourcing service providers are increasingly required to balance cost-reduction challenges with quality-improvement goals. Such efforts can be aided by an improved methodology for services solution engineering - which involves requirements analysis, mapping requirements to service provider capabilities, documenting the service design and defining transformations of the customer's environment to facilitate more efficient service delivery. One such improved methodology leverages reuse in the form of a taxonomy of standardized service offerings and a repository of standardized service designs they can be mapped to. In this paper, we describe a prototype system that provides automation for such a methodology, by encoding design policies that are used to assist solution architects in gathering relevant information from the customer and cross checking design decisions. This paper presents the system architecture, discusses sources and models of knowledge, and illustrates how this knowledge can be used with specific examples from the services field.
UR - http://www.scopus.com/inward/record.url?scp=35248818839&partnerID=8YFLogxK
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U2 - 10.1109/SCC.2007.88
DO - 10.1109/SCC.2007.88
M3 - Conference contribution
AN - SCOPUS:35248818839
SN - 0769529259
SN - 9780769529257
T3 - Proceedings - 2007 IEEE International Conference on Services Computing, SCC 2007
SP - 605
EP - 612
BT - Proceedings - 2007 IEEE International Conference on Services Computing, SCC 2007
T2 - 2007 IEEE International Conference on Services Computing, SCC 2007
Y2 - 9 July 2007 through 13 July 2007
ER -