AppScale is a scalable, distributed, and fault tolerant cloud runtime system that we have developed at the University of California, Santa Barbara as part of our research into the next generation of programming systems [5, 3]. In particular, AppScale is a cloud platform, i.e. a platform-as-a-service (PaaS) cloud fabric, that executes over cluster resources. The cluster resources underlying AppS...

In this paper we describe a system for visualizing and analyzing worldwide research topics, rtopmap. We gather data from google scholar academic research profiles, putting together a weighted topics graph, consisting of over 35,000 nodes and 646,000 edges. The nodes correspond to self-reported research topics, and edges correspond to cooccurring topics in google scholar profiles. The rtopmap sy...

Today we are in the era of Big Data. The design of privacy preserving protocols in data processing is really challenging as the amount of data grows largely and complex. How to preserve privacy while meeting the requirements of speed and throughput have become critical criteria in the design. In this paper, we implement a practical use of Private Set Intersection (PSI) Protocol based on the new...

In this article, we explore the concepts and applications of Web 2.0 through the new media of NeoGeography and its impact on how we collect, interact and search for spatial information. We argue that location and space are becoming increasingly important in the information technology revolution. To this end, we present a series of software tools which we have designed to facilitate the non-expe...

Recent research has attested the implementation and the effectiveness of Geographic Information Systems in geographic teaching [1, 2]. Different works and experiments have shown that current Web Mapping Services and frameworks are partially unfitted for the design and easy programming of web applications dedicated to the teaching of geographic information. Our research problem is enabling to te...

Concerned with pathological voice assessment, this paper aims at characterizing dysphonia in the frequency domain for a better understanding of relating phenomena while most of the studies have focused only on improving classification systems for diagnosis help purposes. In this context, a GMM-based automatic classification system is applied on different frequency ranges in order to investigate...