IEEE TCSC Special Issue on Big Data Analytics, Infrastructure, and Applications

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IEEE Transactions on Services Computing

Special Issue on Big Data Analytics, Infrastructure, and Applications


The pervasive nature of digital technologies as witnessed in industry, services and everyday life has given rise to an emergent, data-focused economy stemming from many aspects of human individual and commercial activity. The richness and vastness of these data are creating unprecedented research opportunities in a number of fields including urban studies, geography, economics, finance, and social science, as well as physics, biology and genetics, public health and many others.

In addition to Big Data-inspired research, businesses have seized on big data technologies to support and propel growing business intelligence needs. As businesses build out Big Data hardware and software infrastructure, it becomes increasingly important to anticipate technical and practical challenges and to identify best practices learned through experience.

Big Data analytics employ software tools from advanced analytics disciplines such as data mining, predictive analytics, and machine learning. At the same time, the processing and analysis of big data presents methodological and technological challenges. The goal of this special issue is to present both novel solutions to challenging technical issues as well as compelling Big Data use cases. This special issue will share related practical experiences to benefit the reader, and will provide clear proof that big data analytics technologies are playing an ever-increasing important and critical role in supporting business intelligence - a new cross-discipline research topic in computer science and business.

With a general focus on Big Data Analytics, Infrastructure, and Applications, this special issue covers topics such as:
* Big Data Analytics and Algorithms
* Big Data Security and Privacy
* Big Data Storage
* Big Data Real-time Processing Technologies and Online Transactions
* Big Data Architecture
* Big Data Visualization Technologies
* Big Data Modeling
* Big Data As A Service
* Big Data for Enterprise Transformation
* Big Data in Enterprise Management Models and Practices
* Big Data Applications and Case Studies

Important Dates:

November 1, 2014: Deadline for paper submission
July-September, 2015: Publication


Please submit your papers through the Transactions on Services Computing (TSC) online system ( and select SI on Big Data Infrastructure and Application. Paper formatting guidelines are available at the journal website ( Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.

Guest editors:

Stanislav Sobolevsky, MIT, USA (Contact:
Suzanne McIntosh, Cloudera Inc. and New York University, USA (Contact:
Patrick C. K. Hung, University of Ontario Institute of Technology, Canada (Contact:

Received on Monday, 7 July 2014 16:49:55 UTC