Parallel database systems: the future of high performance database systems
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ACM Transactions on Database Systems (TODS)
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Linux Journal
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IEEE Transactions on Knowledge and Data Engineering
Main Memory Database Systems: An Overview
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The VLDB Journal — The International Journal on Very Large Data Bases
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Proceedings of the 2nd Workshop on High Performance Computational Finance
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Software—Practice & Experience
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Visualizing large-scale streaming applications
Information Visualization
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WEA'05 Proceedings of the 4th international conference on Experimental and Efficient Algorithms
A platform for scalable one-pass analytics using MapReduce
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SpamWatcher: a streaming social network analytic on the IBM wire-speed processor
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ACM Transactions on Database Systems (TODS)
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Applications from several domains are now being written to process live data originating from hardware and software-based streaming sources. Many of these applications have been written relying solely on database and data warehouse technologies, despite their lack of need for transactional support and ACID properties. In several extreme high-load cases, this approach does not scale to the processing speeds that these applications demand. In this paper we demonstrate an application acceleration approach whereby a regular ODBC-based application is converted into a true streaming application with minimal disruption from a software engineering standpoint. We showcase our approach on three real-world applications. We experimentally demonstrate the substantial performance improvements that can be observed when contrasting the accelerated implementation with the original database-oriented implementation.