Cassandra: a decentralized structured storage system
ACM SIGOPS Operating Systems Review
Multi-agent framework for performance-based resource management in computational grid environment
Multiagent and Grid Systems
Feedback-Guided Analysis for Resource Requirements in Large Distributed System
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Scalable SQL and NoSQL data stores
ACM SIGMOD Record
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A feedback-guided Resource Requirement Prediction technique has been described in [2]. An Execution History is built and maintained for all the jobs which are executed in a large distributed system like Grid. When a new job arrives, its clones are sought for in the Execution History and if clones are found, relevant performance information are retrieved and used for estimating resource requirements. In this paper, we focus on the implementation details of Execution History. Instead of using relational databases, here we have used NoSQL database, MongoDB. The reasons for using MongoDB are discussed. Techniques for storing and retrieving data from the Execution History are also described. Overheads for such operations are measured and presented in the result part of this paper.