The goal of the ADMS project is to create a framework for caching materialized views, access paths, and experience obtained during query execution. The rationale behind this project is to amortize database access cost over an extended time period and adapt execution strategies based on experience. ADMS demonstrates the versatility of the views and their role in performance, data warehousing, ma...

As technological advances are made in software and hardware, the feasibility of accessing information “any time, anywhere” is becoming a reality. Furthermore, the diversity and amount of information available to a given user is increasing at a rapid rate. In a mobile computing environment, a potentially large number of users may simultaneously access the global data; therefore, there is a need ...

Mirroring and replication are common techniques for ensuring fault-tolerance and resiliency of client/server applications. Because such mirroring and replication procedures are not usually automated, they tend to be cumbersome. In this paper, we present an architecture in which the identification of sites for replicated servers, and the generation of replicas, are both automated. The design is ...

The vast amount of information that recommenders manage these days has reached a point where scalability has become a critical factor. In this work, we propose a scalable architecture designed for computing Collaborative Filtering recommendations in a Big Data scenario. In order to build a highly scalable and fault-tolerant platform, we employ fully distributed systems without any single point ...

The proliferation of the Internet is leading to high expectation on the fast turnaround time. Clients abandoning their connections due to excessive downloading delays translates directly to profit losses. Hence, minimizing the latency perceived by end-users has become the primary performance objective compared to more traditional issues, such as server utilization. The two promising techniques ...

The mobile, wireless, and self-organizing features of ad hoc networks pose many challenges with respect to continuous availability and accessibility of data. In such a dynamic environment, there are many advantages in replicating a data item so there are multiple copies, including reduced response times and higher data availability. Also, if done efficiently, replication can help reduce energy ...

In today’s caching and replicated distributed systems, there is the need to minimize the amount of data transmitted, because in the first case, there is an increase in the size of web objects that can be cached, while in the second case, the continuous increase in usage of these systems, makes that a page can be edited and viewed simultaneously by several people. This entails that any modificat...

Present-day object-oriented middleware provides little support for the distribution, replication and caching of the state of a distributed object. This makes these platforms unsuitable for the development of large-scale distributed applications. We argue that the model of distributed objects on which these middleware platforms are based hinders the addition of comprehensive distribution and rep...

In distributed computing environments, replication of data provides improved availability, isolation between workloads with di erent characteristics, and improved performance through local access to data. The \real data" is server resident and by \local data" we refer to cached client data. We examine which data should be cached on behalf of a cached query. The minimum requirement for cached da...

Caching video content in content distribution networks takes advantage of repeated requests amongst a population of users. The efficiency of replication and cache placement policies depends on which user requests which video object. We develop a methodology for analyzing user interactions, based on video category. We then analyze a trace file of YouTube requests captured at a university campus ...