Behavioural Skeletons in GCM: Autonomic Management of Grid Components

Autonomic management can be used to improve the QoS provided by parallel/distributed applications. We discuss behavioural skeletons introduced in earlier work: rather than relying on programmer ability to design “from scratch” efficient autonomic policies, we encapsulate general autonomic controller features into algorithmic skeletons. Then we leave to the programmer the duty of specifying the parameters needed to specialise the skeletons to the needs of the particular application at hand. This results in the programmer having the ability to fast prototype and tune distributed/parallel applications with non-trivial autonomic management capabilities. We discuss how behavioural skeletons have been implemented in the framework of GCM (the Grid Component Model developed within the CoreGRID NoE and currently being implemented within the GridCOMP STREP project). We present results evaluating the overhead introduced by autonomic management activities as well as the overall behaviour of ...

• Type: Conference
• Year: 2008
• Where: PDP
• Authors: Marco Aldinucci, Sonia Campa, Marco Danelutto, Marco Vanneschi, Peter Kilpatrick, Patrizio Dazzi, Domenico Laforenza, Nicola Tonellotto
• Keywords: Autonomic Management, Behavioural Skeletons, Distributed And Parallel Computing, Efficient Autonomic Policies, PDP 2008