March / April 2014

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CLOUDSCAPE Newsletter - March/April 2014

In This Issue:

Message from the Chair

By Chunming Rong

Welcome to our 3rd edition of Cloudscape. The last two issues have been well received by our members. In this issue and the coming next issue, the main theme is big-data in cloud. Follow us for more in depth discussions on the selected articles on LinkedIn.

Chunming Rong
Chair, STC CC

STC CC Blog - "The Clear Cloud"

By Chris Miyachi

When I started exploring Cloud Computing, I was blown away with what Google and Amazon could offer. Until I saw the price! ...

Visit the blog to read more ...

Message from the Cloud-Link Editors

By Henry Chan, Victor Leung, Jens Jensen, and Tomasz Wiktor Wlodarczyk

This issue of Cloud-Link is the first of two about big data, including data-intensive science. The emergence of "big data" as a field has happened alongside "the Cloud" and in fact big data technologies are often a basis for providing Cloud services. Conversely, Cloud services can put big data tools and methods into the reach of smaller users, by providing affordable on-demand computation and storage. We also note the increasingly popular spelling "big data" instead of "Big Data," perhaps reflecting the maturity of the topic.

In reviewing publications on big data, it was clear that a range of themes was common, including visualization, data quality, privacy and legal issues, impact on society, technology, publishing and discovery of data, standards, and applications and case studies in business intelligence, analysis, Internet of Things, and "smart cities". With such a choice, we have decided to devote two issues of Cloud-Link to the overall topic. In the first issue we focus on methods and tools for making data available and analyzing it, as well as applications in medicine and some of the associated concerns. Unavoidably there are many other useful and insightful articles that have not been included.

We also recommend reading a special issue on "Leveraging Big Data" of IT Professional (published in November/December 2013), which includes five articles that cover related themes: application of big data to business analytics, reduction of healthcare costs, and transforming the government. You are also encouraged to search through IEEE Xplore and other databases for further reading.

The next issue (May/June 2014) of Cloud-Link will be the second "Big Data" issue. If you would like to recommend any useful articles for this or for future issues, please email them to hcbchan@ieee.org. If you have any suggestions for future topics, please also let us know.

Visit Cloud-Link to read more.

Selected Cloud-Link Articles

A Scalable Two-Phase Top-Down Specialization Approach for Data Anonymization Using MapReduce on Cloud

By Xuyun Zhang, Yang, L.T., Chang Liu and Jinjun Chen

Published in IEEE Transactions on Parallel and Distributed Systems, February 2014

A large number of cloud services require users to share private data like electronic health records for data analysis or mining, bringing privacy concerns. Anonymizing data sets via generalization to satisfy certain privacy requirements such as k-anonymity is a widely used category of privacy preserving techniques. At present, the scale of data in many cloud applications increases tremendously in accordance with the Big Data trend, thereby making it a challenge for commonly used software tools to capture, manage, and process such large-scale data within a tolerable elapsed time. As a result ...

Visit Cloud-Link to read more.

Special Issue on Leveraging Big Data

Published in IT Professional, November/December 2013

Leveraging Big Data and Business Analytics [Guest editors' Introduction]
By Sunil Mithas, Maria R. Lee, Seth Earley, San Murugesan and Reza Djavanshir

Leveraging Big Data Analytics to Reduce Healthcare Costs
By Uma Srinivasan and Bavani Arunasalam

Business Process Analytics Using a Big Data Approach
By Alejandro Vera-Baquero, Ricardo Colomo-Palacios and Owen Molloy

XBRL in the Chinese Financial Ecosystem
By Li Jimei, Hu Yuzhou and Du Meijie

Big Data and Transformational Government
By Rhoda C. Joseph and Norman A. Johnson

Embedded Analytics and Statistics for Big Data

By Louridas, P. and Ebert, C.

Published in IEEE Software, November/December 2013

Embedded analytics and statistics for big data have emerged as an important topic across industries. As the volumes of data have increased, software engineers are called to support data analysis and applying some kind of statistics to them. This article provides an overview of tools and libraries for embedded data analytics and statistics, both stand-alone software packages and programming languages with statistical capabilities ...

Visit Cloud-Link to read more.

Bias Correction in a Small Sample from Big Data

By Jianguo Lu and Dingding Li

Published in IEEE Transactions on Knowledge and Data Engineering, November 2013

This paper discusses the bias problem when estimating the population size of big data such as online social networks (OSN) using uniform random sampling and simple random walk. Unlike the traditional estimation problem where the sample size is not very small relative to the data size, in big data, a small sample relative to the data size is already very large and costly to obtain. We point out that when small samples are used ...

Visit Cloud-Link to read more.

Efficient Skyline Computation on Big Data

By Xixian Han, Jianzhong Li, Donghua Yang and Jinbao Wang

Published in IEEE Transactions on Knowledge and Data Engineering, November 2013

Skyline is an important operation in many applications to return a set of interesting points from a potentially huge data space. Given a table, the operation finds all tuples that are not dominated by any other tuples. It is found that the existing algorithms cannot process skyline on big data efficiently. This paper presents a novel skyline algorithm SSPL on big data. SSPL utilizes sorted positional index lists which require ...

Visit Cloud-Link to read more.

Grand Challenge: Applying Regulatory Science and Big Data to Improve Medical Device Innovation

By Erdman, A.G., Keefe, D.F. and Schiestl, R.

Published in IEEE Transactions on Biomedical Engineering, March 2013

Understanding how proposed medical devices will interface with humans is a major challenge that impacts both the design of innovative new devices and approval and regulation of existing devices. Today, designing and manufacturing medical devices requires extensive and expensive product cycles. Bench tests and other preliminary analyses are used to understand the range of anatomical conditions, and animal and clinical trials are used ...

Visit Cloud-Link to read more.

 
 

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