As a parallel programming framework, MapReduce can process scalable and parallel
applications with large scale datasets. The executions of Mappers and Reducers are …

The rapid growth of fast analytics systems, that require data processing in memory, makes
memory capacity an increasingly-precious resource. This paper introduces a new …

With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in
terms of response time and monetary cost. Our novel approach minimizes both objectives by …

Online aggregation is an attractive sampling-based technology to response aggregation
queries by an estimate to the final result, with the confidence interval becoming tighter over …

Computing outliers and related statistical aggregation functions from large-scale big data
sources is a critical operation in many cloud computing scenarios, eg service quality …

Methods, systems, and apparatus, including computer programs encoded on computer
storage media, for profiling and configuring work on a cluster of computer nodes. One …

A data cube is a powerful analytical tool that stores all aggregate values over a set of
dimensions. It provides users with a simple and efficient means of performing complex data …

In this paper we investigate a new computing paradigm, called SocialCloud, in which
computing nodes are governed by social ties driven from a bootstrapping trust-possessing …

Recent years, more and more enterprises migrate their applications to the cloud for cost
saving. During the application migration, an application usually needs to be re-designed …

Techniques for a system capable of performing low-latency database query processing are
disclosed herein. The system includes a gateway server and a plurality of worker nodes. The …