Autonomic Computing for Virtual Laboratories

Publication Type  Book Chapter
Year of Publication  2006
Authors  Pautasso, C.; Bausch, W.; Alonso, G.
Editor  Jürg Kohlas, Bertrand Meyer, André Schiper
Book Title  Dependable Systems: Software, Computing, Networks
Publisher  Springer
Series Volume  4028
Series Title  LNCS
ISBN Number  3-540-36821-3
Key Words  Autonomic Computing; Grid Workflows
Abstract  Virtual laboratories can be characterized by their long-lasting, large-scale computations, where a collection of heterogeneous tools is integrated into data processing pipelines. Such virtual experiments are typically modeled as scientific workflows in order to guarantee their reproduceability. In this chapter we present JOpera, one of the first autonomic infrastructures for managing virtual laboratories. JOpera provides a sophisticated Eclipse-based graphical environment to design, monitor and debug distributed computations at a high level of abstraction. The chapter describes the architecture of the workflow execution environment, emphasizing its support for the integration of heterogeneous tools and evaluating its autonomic capabilities, both in terms of reliable execution (self-healing) and automatic performance optimization (self-tuning)
URL  Click Here
DOI  10.1007/11808107_10
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