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An Analysis of Failure-Related Energy Waste in a Large-Scale Cloud Environment

Cloud computing providers are under great pressure to reduce operational costs through improved energy utilization while provisioning dependable service to customers; it is therefore extremely important to Continue reading

Improving the Search Mechanism for Unstructured Peer-to-Peer Networks Using the Statistical Matrix Form

In a traditional file search mechanism, such as flooding, a peer broadcasts a query to its neighbors through an unstructured peer-to-peer (P2P) network until the time-to-live decreases to zero. A major disadvantage of Continue reading

GPU-Accelerated Visualization of Scattered Point Data

As data sets continue to grow in size, visualization has become a vitally important tool for extracting meaningful knowledge. Scattered point data, which are unordered sets of point coordinates with Continue reading

Mapping Bug Reports to Relevant Files: A Ranking Model, a Fine-Grained Benchmark, and Feature Evaluation

When a new bug report is received, developers usually need to reproduce the bug and perform code reviews to find the cause, a process that can be tedious and time consuming. A tool for ranking all the source files with respect to Continue reading

Large Iterative Multitier Ensemble Classifiers for Security of Big Data

This paper introduces and investigates large iterative multitier ensemble (LIME) classifiers specifically tailored for big data. These classifiers are very large, but are quite easy to generate and use. They can be so large that it makes sense to Continue reading

A Software Suite for Efficient Use of the European Qualifications Framework in Online and Blended Courses

Since introduction of the European qualifications framework (EQF) as one instrument to bridge from learning institutions to competence driven lifelong learning, it remains a challenge for instructors and teachers in Continue reading

Banian: A Cross-platform Interactive Query System for Structured Big Data

The rapid growth of structured data has presented new technological challenges in the research fields of big data and relational database. In this paper, we present an efficient system for Continue reading

M2M: A Simple MATLAB-to-Map Reduce Translator for Cloud Computing

MapReduce is a very popular parallel programming model for cloud computing platforms, and has become an effective method for processing massive data by Continue reading