@inbook {116,
	title = {Autonomic Computing for Virtual Laboratories},
	booktitle = {Dependable Systems: Software, Computing, Networks},
	number = {4028},
	year = {2006},
	pages = {211-230},
	publisher = {Springer},
	organization = {Springer},
	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).},
	keywords = {autonomic computing, JOpera, scientific workflow management},
	isbn = {3-540-36821-3},
	doi = {10.1007/11808107_10},
	author = {Cesare Pautasso and Win Bausch and Gustavo Alonso},
	editor = {J{\"u}rg Kohlas and Bertrand Meyer and Andr{\'e} Schiper}
}
@conference {92,
	title = {BioOpera: cluster-aware computing},
	booktitle = {IEEE International Conference on Cluster Computing (CLUSTER 2002)},
	year = {2002},
	month = {September},
	pages = {99 - 106},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Chicago, IL, USA},
	abstract = {In this paper we present BioOpera, an extensible process support system for cluster-aware computing. It features an intuitive way to specify computations, as well as improved support for running them over a cluster providing monitoring, persistence, fault tolerance and interaction capabilities without sacrificing efficiency and scalability.},
	keywords = {BioOpera, cluster computing, scientific workflow management},
	doi = {10.1109/CLUSTR.2002.1137734},
	url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1137734},
	author = {Win Bausch and Cesare Pautasso and Reto Schaeppi and Gustavo Alonso}
}
@conference {91,
	title = {Dependable computing in virtual laboratories},
	booktitle = {17th IEEE International Conference on Data Engineering (ICDE 2001)},
	year = {2001},
	month = {April},
	pages = {235 - 242},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Heidelberg, Germany},
	abstract = {Many scientific disciplines are shifting from in vitro to in silico research as more physical processes and natural phenomena are examined in a computer (in silico) instead of being observed (in vitro). In many of these virtual laboratories, the computations involved are very complex and long lived. Currently, users are required to manually handle almost all aspects of such computations, including their dependability. Not surprisingly, this is a major bottleneck and a significant source of inefficiencies. To address this issue, we have developed BioOpera, an extensible process support management system for virtual laboratories. The authors briefly discuss the architecture and functionality of BioOpera and show how it can be used to efficiently manage long lived computations},
	keywords = {bioinformatics, BioOpera, scientific workflow management, virtual laboratories},
	doi = {10.1109/ICDE.2001.914834},
	url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=914834},
	author = {Gustavo Alonso and Win Bausch and Cesare Pautasso and Ari Kahn}
}
