We characterize the dynamic data management problem for location based services(LBS) in mobile environments and devise a cost model for servicing both location independent and location dependent data. The cost analysis leads to a set of dynamic data management strategies that employs judicious caching, proactive server pushing and neighborhood replication to reduce service cost and improve resp...

A new data model is proposed using a traditional accounting approach to model an organization’s transactional data and extending this model to include not only financial information but also internal business process, learning and growth, and customer perspectives. It provides an organization with a single data model that supports both transactional and data warehousing needs. The model has a v...

The Mariposa distributed data manager uses an economic model for managing the allocation of both storage objects and queries to servers. In this paper, we present extensions to the economic model which support replica management, as well as our mechanisms for propagating updates among replicas. We show how our replica control mechanism can be used to provide consistent, although potentially sta...

With the Semantic Web scaling up, and more triple-stores with update facilities being available, the need for higher levels of simultaneous triple-stores with identical information becomes more and more urgent. However, where such Data Replication approaches are common in the database community, there is no comprehensive approach for data replication for the Semantic Web. In this research propo...

Preface Today, more and more business applications are being designed to run in distributed computing environments. In these environments, data replication is a key to effectively distributing and sharing information. It is a fast and reliable way to disseminate and consolidate information to and from multiple locations. Furthermore, enterprise information systems become increasingly heterogene...

We design and analyze a mechanism for forming coalitions of peers in a data swarming system where peers have heterogeneous upload capacities. A coalition is a set of peers that explicitly cooperate with other peers inside the coalition via choking, data replication, and capacity allocation strategies. Further, each peer interacts with other peers outside its coalition via potentially distinct c...

In distributed database systems, immediate global consistency of replicated data can be achieved by distributed commit protocols that are typically unpredictable. If real-time characteristics are necessary, such unpredictability has to be avoided. In a distributed realtime database, optimistic replication can be used to avoid unpredictable delays by allowing transactions to commit locally. The ...