U.S.-France Cooperative Research (INRIA): Synchronization Approaches for Managing Distributed Data

0095527 El Abbadi美国-法国合作研究的参与者包括圣巴巴拉大学的Amr El Abbadi、Divyakant Agrawal以及法国雷恩雷恩的信息学和应用数学研究所IRISA项目的Jean-Michel Helary、Achour Mostefaoui和Michel Raynal。美国和法国的研究团队将解决分布式系统中数据管理的问题。 他们将探讨分布式数据仓库的问题和复制的问题。 在前者中，地方数据在不同的地点得到维护和更新。 然后需要数据仓库来维护聚合信息摘要。 信息以增量的方式合并到仓库中，消息传递用于计算增量更改。 在复制问题中，不同对象的各种副本存储在分布式系统中的站点上。 目标是在每个站点本地执行事务，然后在保持序列化能力的同时传播更新。 位于圣巴巴拉的美国团队为此次合作带来了分布式数据库和复制领域的专业知识。 IRISA/INRIA团队在使用因果关系，检查点和共识解决分布式系统问题方面的专业知识对此进行了补充。该项目将促进对分布式系统中管理大量数据的方法和技术的理解。这可能会导致显着的效率和更好地理解之间的相互作用的事件排序和语义的事件在分布式系统中。这个奖项代表了美国方面的一项联合建议，美国国家科学基金会和法国国家研究所在信息学和应用数学（INRIA）。 NSF将支付美国研究人员和研究生的旅费和生活费。 INRIA将支持法国研究人员和研究生访问美国。

0095527El AbbadiThis three-year award for U.S.-France cooperative research involves Amr El Abbadi, Divyakant Agrawal of the University of Santa Barbara and Jean-Michel Helary, Achour Mostefaoui, and Michel Raynal of the IRISA project at the Institute for Research in Informatics and Applied Mathematics (INRIA) and University of Rennes in Rennes, France. The US and French research teams will address issues in the management of data in distributed systems. They will explore distributed data warehouse problems and problems of replication. In the former, local data are maintained and updated in various sites. A data warehouse is then required to maintain aggregate information summaries. Information is incorporated into the warehouse in an incremental manner, and message passing is used to calculate the incremental changes. In the replication problem, various copies of different objects are stored on sites in a distributed system. The goal is to execute transactions locally at each site, and then propagate the updates while maintaining the ability to serialize. The US team at Santa Barbara brings to this collaboration expertise in the area of distributed databases and replication. This is complemented by the IRISA/INRIA team's expertise in solving distributed systems problems using causality, checkpointing and consensus. The project will advance understanding of methods and techniques for managing large amounts of data in distributed systems. It may result in significant efficiencies and better understanding of the interplay between ordering of events and semantics of events in distributed systems.This award represents the US side of a joint proposal to the NSF and the French National Institute for Research in Informatics and Applied Mathematics (INRIA). NSF will cover travel funds and living expenses for the US investigators and graduate student. INRIA will support the visits of French researchers and graduate student to the United States.