held in conjunction with
The Twentieth National Conference on Artificial Intelligence
Pittsburgh, Pennsylvania, July 9 - 10, 2005
There has been increasing interest in service composition for management of tasks and resources. Creating and managing workflows of tasks on the web and on computational grids has simplified data integration and business process integration. Now widely distributed services can be discovered and composed into workflows either manually or automatically, revolutionizing integration approaches to distributed services.
Management of resources, including software and hardware that may be located centrally or distributed across a network, has emerged as a significant obstacle to reducing the cost of Information Technology while increasing business productivity. Self-management of systems for configuration, protection, recovery and optimization is promoted as Autonomic Computing in industry. Here, workflows have been adopted as the underlying representation to connect inter-related tasks required for self-management.
AI planning and scheduling techniques will play an essential role in managing workflows of task ranging from their generation, storage & retrieval, analysis, composition, allocation of resources, execution and repair. However, many issues remain to be resolved. These include (1) determining how to bridge the gap between existing plan and workflow languages, whether existing domain and workflow languages are appropriate or whether new features or languages are needed, (2) forming precise characterizations of service life cycle including composition, execution and workflow management, (3) identifying the most appropriate ways to formalize service discovery and composition problems, (4) highlighting important challenges for planning and scheduling systems to be maximally effective in these areas, and (5) supporting operational robustness in 24/7 environment.
This workshop is the continuation of two successful workshops at ICAPS 2003 and 2004 on planning and scheduling for web and grid services and will explore autonomic computing as well. It will bring together researchers who are working on these topics and face these issues as well as real systems that are under development. Those wishing to attend are encouraged to submit either a long paper of up to 8 pages in AAAI format, or a short position paper of up to 3 pages. Topics of interest include but are not limited to:
Biplav Srivastava, (co-chair) IBM India Research Lab, India
Jim Blythe (co-chair), USC Information Sciences Institute, USA
Jose Luis Ambite, USC Information Sciences Institute, USA
Yun-Heh (Jessica) Chen-Burger, University of Edinburgh, Scotland
Subbarao Kambhampati, Arizona State University, Tempe AZ, USA
Sheila McIlraith, University of Toronto, Canada,
Paolo Traverso, IRST, Italy