News Column

New Findings from Northwestern Polytechnic University in the Area of Database Systems Reported

June 24, 2014

By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Fresh data on Database Systems are presented in a new report. According to news originating from Xi'an, People's Republic of China, by VerticalNews correspondents, research stated, "As more data management software is designed for deployment in public and private clouds, or on a cluster of commodity servers, new distributed storage systems increasingly achieve high data access throughput via partitioning and replication. In order to achieve high scalability, however, today's systems generally reduce transactional support, disallowing single transactions from spanning multiple partitions."

Our news journalists obtained a quote from the research from Northwestern Polytechnic University, "This article describes Calvin, a practical transaction scheduling and data replication layer that uses a deterministic ordering guarantee to significantly reduce the normally prohibitive contention costs associated with distributed transactions. This allows near-linear scalability on a cluster of commodity machines, without eliminating traditional transactional guarantees, introducing a single point of failure, or requiring application developers to reason about data partitioning. By replicating transaction inputs instead of transactional actions, Calvin is able to support multiple consistency levels-including Paxos-based strong consistency across geographically distant replicas-at no cost to transactional throughput."

According to the news editors, the research concluded: "Furthermore, Calvin introduces a set of tools that will allow application developers to gain the full performance benefit of Calvin's server-side transaction scheduling mechanisms without introducing the additional code complexity and inconvenience normally associated with using DBMS stored procedures in place of ad hoc client-side transactions."

For more information on this research see: Fast Distributed Transactions and Strongly Consistent Replication for OLTP Database Systems. ACM Transactions on Database Systems, 2014;39(2):32-70. ACM Transactions on Database Systems can be contacted at: Assoc Computing Machinery, 2 Penn Plaza, Ste 701, New York, NY 10121-0701, USA.

The news correspondents report that additional information may be obtained from A. Thomson, Northwestern Polytechnic Univ, Xian, People's Republic of China. Additional authors for this research include T. Diamond, S.C. Weng, K. Ren, P. Shao and D.J. Abadi.

Keywords for this news article include: Asia, Xi'an, Database Systems, People's Republic of China

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Source: Information Technology Newsweekly

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