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Dr. Soyata speaks on his research in the Handbook of Research on Cloud Infrastructures for Big Data Analytics

Life in the Big Data Era

By IGI Global on Apr 21, 2015
Handbook of Research on Cloud Infrastructures for Big Data AnalyticsSubmitted by Dr. Tolga Soyata, Assistant Professor at the University of Rochester, USA

The amount of data acquired, stored, and processed annually over the Internet has exceeded the processing capabilities of modern computer systems, including supercomputers that can reach peak processing powers in the Peta-FLOPs. The term Big Data refers to an amount of data that is infeasible to process by traditional computing equipment. Continuous research efforts to implement systems to cope with this insurmountable amount of data are underway. Any improvement in the way massive amounts of data are acquired, processed, and handled could have dramatic impact on the quality of human lives in many ways. For example, massive amounts of globally sensed data could improve agriculture. Real-time gathering of weather/traffic information could improve energy/fuel efficiencies by re-routing shipments. Medicine could be revolutionized by wearable sensors, collecting real-time patient health information, resulting in improved diagnostics. Efficiently handling massive amounts of data that each one of these applications imply means transforming human lives into the Big Data era.

In the book Handbook of Research on Cloud Infrastructures for Big Data Analytics the authors introduce ongoing research in three recent research fields:

On the Acquisition front, authors introduce a concept that has become one of the key recent research areas: Internet-of-Things (IoT), which will be one of the major sources for Big Data generation in the foreseeable future. Authors provide a brief survey of IoT to understand the concept and the ongoing research in this field. This portion of the chapter describes applications that can benefit from the IoT concept, such as healthcare, transportation and logistic, personal and social networks, and smart environment.

On the Cloud Storage and Processing front, authors provide a survey of techniques to efficiently store the acquired Big Data in the cloud, index it, and pre-process it for further processing. While IoT relates primarily to sensor nodes and thin devices, authors study this storage and processing aspect of Big Data within the framework of Cloud Computing. This portion of the chapter describes techniques and existing implementations for storing vast amounts of data in the cloud in a highly distributed fashion.

On the Mobile Access front, authors perform a survey of existing infrastructures to access the Big Data efficiently via mobile devices. This survey also includes intermediate devices, such as a Cloudlet, to accelerate the Big Data collection from IoT and access to Big Data for applications that require response times that are close to real-time. This portion of the chapter surveys mobile-cloud offloading techniques and ways to use intermediate devices, such as a cloudlet for the offloading process.


Dr. Tolga Soyata is an Assistant Professor of Research in the Department of Electrical and Computer Engineering (ECE) at the University of Rochester. Dr. Soyata received a B.S. degree in Electrical and Communications Engineering from Istanbul Technical University in 1988, M.S. degree in ECE from Johns Hopkins University, and Ph.D. in ECE from University of Rochester, in 1992 and 1999, respectively. His current research interests include real-time high-performance computation and energy-aware system design. He teaches four courses on ASIC, FPGA and GPU design and programming.

Dr. Soyata contributed two chapters to the Handbook of Research on Cloud Infrastructures for Big Data Analytics: "Accessing Big Data in the Cloud Using Mobile Devices" and "Medical Data Analytics in the Cloud Using Homomorphic Encryption."

Dr. Soyata is also editor of the forthcoming title, Enabling Real-Time Mobile Cloud Computing through Emerging Technologies, an authoritative and accessible resource that incorporates surveys, tutorials, and the latest scholarly research on cellular technologies to explore the latest developments in mobile and wireless computing technologies. With its exhaustive coverage of emerging techniques, protocols, and computational structures, this reference work is an ideal tool for students, instructors, and researchers in the field of telecommunications. This title is also part of the Advances in Wireless Technologies and Telecommunication (AWTT) Book Series, a collection that aims to provide researchers and academic communities with quality research on the concepts and developments in the wireless technology fields. Developers, engineers, students, research strategists, and IT managers will find this series useful to gain insight into next generation wireless technologies and telecommunication. View other titles on mobile cloud computing here.

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