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A Review on IaaS and MAP-REDUCE SaaS Simulators in Cloud Computing

عنوان مقاله: A Review on IaaS and MAP-REDUCE SaaS Simulators in Cloud Computing
شناسه ملی مقاله: ICCSE01_237
منتشر شده در کنفرانس بین المللی مهندسی و علوم کامپیوتر در سال 1395
مشخصات نویسندگان مقاله:

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

خلاصه 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.

کلمات کلیدی:
Big data; Cloud computing; Map-Reduce simulator; Cloud computing simulator

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/648389/