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Monitoring service level agreements in grids with support of a grid benchmarking service

: Oliveira, E. de; Pfreundt, F.-J.


Wieder, P.; Yahyapour, R.; Ziegler, W.:
Grids and service-oriented architectures for service level agreements : This book contains the proceedings of the 2nd Workshop on Service Level Agreements in Grids, which was held in conjunction with the IEEE GRID 2009 Conference on October 13, 2009, and the proceedings of the Dagstuhl seminar Service Level Agreements in Grids organized in March 2009
Berlin: Springer US, 2010 (CoreGrid series 13)
ISBN: 978-1-4419-7319-1
ISBN: 1-4419-7319-2
ISBN: 978-1-4419-7320-7
DOI: 10.1007/978-1-4419-7320-7
Workshop on Service Level Agreements in Grids <2, 2009, Banff>
International Conference on Grid Computing (Grid) <10, 2009, Banff>
Seminar Service Level Agreements in Grids <2009, Schloß Dagstuhl>
Conference Paper
Fraunhofer ITWM ()

As Computational Grids become more popular, a new generation of grid applications emerges, demanding strict and increasingly sophisticated guarantees of quality of service. This challenge has motivated the development of numerous technologies to enable service providers and consumers to establish Service Level Agreements (SLAs). The implementation of SLAs requires mechanisms for these agreements to be monitored and enforced, so that they can be dependable.
Most of existing SLA monitoring techniques are embedded in particular SLA specification, negotiation and management mechanisms. This poses significant limitations for their adoption in large scale, heterogeneous, decentralized grid infrastructures.
In this paper, we present how SLAs can be assessed, monitored and enforced with support of Jawari, a multi-platform, extensible and free of charge grid benchmarking service. Jawari works as an independent external entity that validates the adherence of the grid components to committed SLAs, by simply using the grid services just like an end-user would do. Doing so, it is able to observe the actual levels of quality of service the end-users are likely to experience.
Its benchmarks represent classes of grid applications with distinct requirements that expose the grid services to scenarios where the SLA is expected to be observed. Complementarily, SLA violation conditions can be routinely checked, and proper actions taken in response.