International audienceThe amount of data that human activities generate poses a challenge to current computer systems. Big data processing techniques are evolving to address this challenge, with analysis increasingly being performed using cloud-based systems. Emerging services, however, require additional enhancements in order to ensure their applicability to highly dynamic and heterogeneous environments and facilitate their use by Small & Medium-sized Enterprises (SMEs). Observing this landscape in emerging computing system development, this work presents Small & Medium-sized Enterprise Data Analytic in Real Time (SMART) for addressing some of the issues in providing compute service solutions for SMEs. SMART offers a framework for efficien...
Smart grid has become the most complicated interconnected system in human society. With the advanced...
IP Based Smart Services are the result of applying Big Data style analytics on network information i...
Exposing city information to dynamic, distributed, powerful, scalable, and user-friendly big data sy...
Abstract—The amount of data that human activities generate poses a challenge to current computer sys...
The amount of data that human activities generate poses a challenge to current computer systems. Big...
International audienceA huge volume of data is produced every day by social networks (e.g. Facebook,...
With the advent of cloud computing, resizable scalable infrastructures for data processing is now av...
Big Data is a data analysis methodology enabled by recent advances in technologies and architecture....
This book presents current progress on challenges related to Big Data management by focusing on the ...
The terms Cloud Computing and Big Data are often used in the media. Small and medium sized businesse...
As traditionally measured, services, which include everything from transportation to retail to healt...
At present, university campuses integrate technologies such as the internet of things, cloud computi...
Cloud computing is usually associated with storage and processing on a back-end server that is acces...
The management of Big Data is a very important issue in emerging IoT technologies. Conventional meth...
AbstractA Smart Grid is an enhanced version ofelectric grid in which the demand and supply are balan...
Smart grid has become the most complicated interconnected system in human society. With the advanced...
IP Based Smart Services are the result of applying Big Data style analytics on network information i...
Exposing city information to dynamic, distributed, powerful, scalable, and user-friendly big data sy...
Abstract—The amount of data that human activities generate poses a challenge to current computer sys...
The amount of data that human activities generate poses a challenge to current computer systems. Big...
International audienceA huge volume of data is produced every day by social networks (e.g. Facebook,...
With the advent of cloud computing, resizable scalable infrastructures for data processing is now av...
Big Data is a data analysis methodology enabled by recent advances in technologies and architecture....
This book presents current progress on challenges related to Big Data management by focusing on the ...
The terms Cloud Computing and Big Data are often used in the media. Small and medium sized businesse...
As traditionally measured, services, which include everything from transportation to retail to healt...
At present, university campuses integrate technologies such as the internet of things, cloud computi...
Cloud computing is usually associated with storage and processing on a back-end server that is acces...
The management of Big Data is a very important issue in emerging IoT technologies. Conventional meth...
AbstractA Smart Grid is an enhanced version ofelectric grid in which the demand and supply are balan...
Smart grid has become the most complicated interconnected system in human society. With the advanced...
IP Based Smart Services are the result of applying Big Data style analytics on network information i...
Exposing city information to dynamic, distributed, powerful, scalable, and user-friendly big data sy...