Behavioural Skeletons in GCM: Autonomic Management of Grid Components Export

@article{citeulike:4213079, abstract = {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 the skeletons. We also present results achieved with a long running application subject to autonomic management and dynamically adapting to changing features of the target architecture. Overall the results demonstrate both the feasibility of implementing autonomic control via behavioural skeletons and the effectiveness of our sample behavioural skeletons in managing the ?functional replication? pattern(s).}, address = {Los Alamitos, CA, USA}, author = {Aldinucci, Marco and Campa, Sonia and Danelutto, Marco and Vanneschi, Marco and Kilpatrick, Peter and Dazzi, Patrizio and Laforenza, Domenico and Tonellotto, Nicola}, booktitle = {PDP}, citeulike-article-id = {4213079}, citeulike-linkout-0 = {http://doi.ieeecomputersociety.org/10.1109/PDP.2008.46}, citeulike-linkout-1 = {http://dblp.uni-trier.de/rec/bibtex/conf/pdp/AldinucciCDVKDLT08}, citeulike-linkout-2 = {http://dx.doi.org/10.1109/PDP.2008.46}, doi = {10.1109/PDP.2008.46}, issn = {1066-6192}, journal = {Parallel, Distributed, and Network-Based Processing, Euromicro Conference on}, keywords = {autonomic\_computing, framework}, pages = {54--63}, posted-at = {2009-08-23 19:49:42}, priority = {2}, publisher = {IEEE Computer Society}, title = {Behavioural Skeletons in GCM: Autonomic Management of Grid Components}, url = {http://dx.doi.org/10.1109/PDP.2008.46}, volume = {0}, year = {2008} }

TY - JOUR ID - citeulike:4213079 L3 - citeulike-article-id:4213079 N2 - 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 the skeletons. We also present results achieved with a long running application subject to autonomic management and dynamically adapting to changing features of the target architecture. Overall the results demonstrate both the feasibility of implementing autonomic control via behavioural skeletons and the effectiveness of our sample behavioural skeletons in managing the ?functional replication? pattern(s). JF - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on SN - 1066-6192 AD - Los Alamitos, CA, USA EP - 63 TI - Behavioural Skeletons in GCM: Autonomic Management of Grid Components PB - IEEE Computer Society VL - 0 T2 - PDP SP - 54 KW - autonomic_computing KW - framework AU - Aldinucci, Marco AU - Campa, Sonia AU - Danelutto, Marco AU - Vanneschi, Marco AU - Kilpatrick, Peter AU - Dazzi, Patrizio AU - Laforenza, Domenico AU - Tonellotto, Nicola PY - 2008/// UR - http://dx.doi.org/10.1109/PDP.2008.46 ER -