چکیده مقاله
Big Data describes emerging generation of architecture and technologies designed to extract value from large volumes of awide variety of data Cloud computing has an essential role in providing scalable and flexible infrastructure as a service for big data MapReduce is a distributed computation model to process big Data It enables software to process and analyze big data in reasonablefashion Due to rapid development of and emerging new cloud applications systems and services on big data, analyzing and evaluating ofthese systems’ performance could be of critical importance Implementation of real world infrastructures for testing these systemsimposes costs and problems In big data era, simulation technology has become a useful tool In this paper, cloud computing simulationtools will be investigated as big data infrastructure as a service simulation tools and MapReduce simulators will be reviewed as big datasoftware as a service simulators, as well
کلیدواژهها
نویسندگان
Armin Aray
Faculty of Computer Engineering Najafabad Branch, Islamic Azad University Najafabad, Iran
Faramarz Safi-Esfahani
Faculty of Computer Engineering Najafabad Branch, Islamic Azad University Najafabad, Iran
شیوه ارجاع
Aray, Armin and Safi-Esfahani, Faramarz,1395,A Review on IaaS and MAP-REDUCE SaaS Simulators in Cloud Computing, International Conference on Engineering and Computer Science,Najafabad
ارائهشده در
مجموعه مقالات کنفرانس بین المللی مهندسی و علوم کامپیوتر3 اسفند 1395 · نجف آباد