CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Unibus-managed Execution of Scientific Applications on Aggregated Clouds
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Variable-sized map and locality-aware reduce on public-resource grids
Future Generation Computer Systems
Portability and interoperability between clouds: challenges and case study
ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet
Variable-Sized map and locality-aware reduce on public-resource grids
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
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SAGA is a high-level programming interface which provides the ability to develop distributed applications in aninfrastructure independent way. In an earlier paper, we discussed how SAGA was used to develop a version of MapReduce which provided the user with the ability to control the relative placement of compute and data, whilst utilizing different distributed infrastructure. In this paper, we use the SAGA-based implementation of MapReduce, and demonstrate its interoperability across Clouds and Grids. We discuss how a range of cloud adaptors have beendeveloped for SAGA. The major contribution of this paper isthe demonstration – possibly the first ever, of interoperability between different Clouds and Grids, without any changes to the application. We analyse the performance of SAGA-MapReduce when using multiple, different, heterogeneous infrastructure concurrently for the same problem instance; However, we do not strive to provide a rigorous performance model, but to provide a proof-of-concept of application-level interoperabilityand illustrate its importance