Autonomic Computing for Virtual Laboratories

TitleAutonomic Computing for Virtual Laboratories
Publication TypeBook Chapter
Year of Publication2006
AuthorsCesare Pautasso, Win Bausch, and Gustavo Alonso
EditorJürg Kohlas, Bertrand Meyer, and André Schiper
Book TitleDependable Systems: Software, Computing, Networks
Series Volume4028
Pages211-230
PublisherSpringer
ISBN3-540-36821-3
Keywordsautonomic computing, JOpera, scientific workflow management
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).

DOI10.1007/11808107_10
Citation Key116
Refereed DesignationRefereed