We present a system for allocating resources in shared data and compute clusters that improves MapReduce job scheduling in three ways. First, the system uses regulated and user-as...
This paper introduces a self-configuring architecture for scaling the database tier of dynamic content web servers. We use a unified approach to load and fault management based ...
Gokul Soundararajan, Kaloian Manassiev, Jin Chen, ...
— In this paper, we study the problem of efficiently computing multiple aggregation queries over a data stream. In order to share computation, prior proposals have suggested ins...
K. V. M. Naidu, Rajeev Rastogi, Scott Satkin, Anan...
We propose an application-driven multi-user resource allocation and frame scheduling concept for wireless video streaming. Our approach is based on joint optimization of the applic...
Yang Peng, Shoaib Khan, Eckehard G. Steinbach, Mar...
For the foreseeable future, most data will continue to be stored in relational databases. To work with these data in ontology-based applications, tools and techniques that bridge t...
Martin J. O'Connor, Ravi Shankar, Samson W. Tu, Cs...