Performance Assessment and Auditing in Service Computing Workshop 2010

December 7, 2010, San Francisco, California, USA. 

As part of ICSOC 2010 - The 8th International Conference on Service Oriented Computing, December 7-10, 2010, San Francisco, California, USA.

Lecture Notes in Computer Science Post-Proceedings

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Call for Papers

Important Dates

Submission and Publication

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The main goal of this Workshop is to bring together researchers, practitioners and industry representatives, providing them the opportunity to present recent research and development results, discuss lessons learned, and present novel ideas on topics in the area of performance assessment, business modeling and auditing in service computing.

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Call for Participation

Services represent a major part of the IT industry. Currently companies increasingly prefer to focus on their core areas and use services to attain all their secondary goals. Services computing leverages computing to model, create, and manage business services. Cloud computing has become a services delivery platform in the area of Services Computing. While extensive research is being pursued on technical aspects related to service computing (and cloud computing), business modeling and management in service computing, economic fundamentals of services, services assessment and their analytic modeling receive little attention. So far, relatively scarce research has been pursued on services' analytic modeling, audit analysis and performance measurements. Business/ economic aspects are of interest for both providers and users. Although several benefits of service computing are claimed (e.g., scalability), an actual quantification of its economic benefits is not yet available, several questions are still unanswered, e.g.: How can economic benefits (e.g., for both providers and users) of service computing be quantified? How performance can be predicted for services? Which are the business models for service computing? Which are the main decision criteria for service selection in services environments? Which are the most relevant economic theories to support the formal definition and economic performance in service computing? How can services be assessed?

This Workshop addresses broad issues on business modeling, auditing and performance assessment in services, aiming at gathering researchers and practitioners to exchange ideas, present and discuss their most recent achievements and lessons learned addressing these challenges related to business and performance assessment aspects on service computing.

The submission of papers describing research and development work on technical, business and economic related aspects on service computing is encouraged, e.g., new concepts and approaches related to business modeling and performance assessment, auditing techniques, tools and systems providing practical implementations supporting such models and approaches. In addition, we are also interested in application papers discussing the power and applicability of these methods and techniques to real-world problems. This Workshop encourages papers presenting novel research and developments, and particularly values the practical experience gained from designing, building and using services. Submissions of original and unpublished works are invited, including research, theory, and applications.

Topics of interested include, but are not limited to:

• Business modeling in service computing (e.g., design, specification, operational processes and policies, value configuration, technical cost modeling, formal modeling for core aspects on business in services)
• Economics of service computing (e.g., cost models, cost-benefit analysis)
• Audit in service computing
• Quality of services
• Design, implementation, monitoring and evaluation of services
• Strategies and strategic decisions for services (e.g., concerning optimal resource utilization; service selection criteria)
• Analytics of services
• Methods, frameworks and methodologies synthesized for services' performance assessment (e.g., performance indicators, benchmarking methods, frameworks)
• Life-cycle management aspects on service computing
• Self-management aspects for services (e.g., instant management of assigned resources)
• Theories and approaches synthesized for services' representation and formal modeling, and their economics (e.g., transaction cost economics)
• Performance predictability in service computing.

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