Efficiency has been a pivotal aspect of the software industry since its inception, as a system
that serves the end-user fast, and the service provider cost-efficiently benefits all parties. A …

A prominent parallel data processing tool MapReduce is gaining significant momentum from
both industry and academia as the volume of data to analyze grows rapidly. While …

Our previous work has shown that architectural and application shifts have resulted in
modern OLTP databases increasingly falling short of optimal performance [10]. In particular …

DryadLINQ is a system and a set of language extensions that enable a new programming
model for large scale distributed computing. It generalizes previous execution environments …

RDF is a data model for schema-free structured information that is gaining momentum in the
context of Semantic-Web data, life sciences, and also Web 2.0 platforms. The “pay-as-you …

In previous papers [SC05, SBC+ 07], some of us predicted the end of" one size fits all" as a
commercial relational DBMS paradigm. These papers presented reasons and experimental …

RDF is a data representation format for schema-free structured information that is gaining
momentum in the context of Semantic-Web corpora, life sciences, and also Web 2.0 …

We provide a benchmark measuring star schema queries retrieving data from a fact table
with Where clause column restrictions on dimension tables. Clustering is crucial to …

Modern applications often need to manage and analyze widely diverse datasets that span
multiple data models [1],[2],[3],[4],[5]. Warehousing the data through Extract-Transform-Load …

Database community has made significant research efforts to optimize query processing on
GPUs in the past few years. However, we can hardly find that GPUs have been truly adopted …