Title :
A framework for big data as a service
Author :
Vu, Quang Hieu ; Asal, Rasool
Author_Institution :
Etisalat BT Innovation Center (EBTIC), Khalifa Univeristy, UAE
Abstract :
Cloud computing has become popular and grown to be a dominant computing model as a result of several advantages it has compared to other computing models. In addition to having desirable properties such as agility and flexibility, cloud computing helps users to save a significant amount of expense that is related to infrastructure investment, management and maintenance. Many types of services have been hosted in different stacks of the cloud from low-level stacks such as Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) to high-level stacks such as Software as a Service (SaaS) and Data as a Service (DaaS). Given that anything can be developed and deployed as a service in the cloud and an increasing demand for big data processing, a new type of cloud computing service, Big Data as a Service (BDaaS), has been introduced recently. In this paper, we will present a high-level design of a general framework for BDaaS. But prior to that, we will discuss properties and challenges of building such framework.
Keywords :
Big data; Cloud computing; Clouds; Computational modeling; Data models; Engines; Memory; Big data; Cloud computing; Framework; Service;
Conference_Titel :
Digital Signal Processing (DSP), 2015 IEEE International Conference on
Conference_Location :
Singapore, Singapore
DOI :
10.1109/ICDSP.2015.7251921