شماره ركورد كنفرانس :
3752
عنوان مقاله :
مروري بر شبيه سازهاي زيرساخت به عنوان سرويس و نرم افزار به عنوان سرويس MAP-REDUCE در رايانش ابري
عنوان به زبان ديگر :
A Review on IaaS and MAP-REDUCE SaaS Simulators in Cloud Computing
پديدآورندگان :
Aray Armin arminaray@sco.iaun.ac.ir Faculty of Computer Engineering Najafabad Branch, Islamic Azad University Najafabad, Iran. , Safi-Esfahani Faramarz fsafi@iaun.ac.ir Faculty of Computer Engineering Najafabad Branch, Islamic Azad University Najafabad, Iran
كليدواژه :
Big data , Cloud computing , Map , Reduce simulator , Cloud computing simulator
عنوان كنفرانس :
اولين كنفرانس بين المللي مهندسي و علوم كامپيوتر
چكيده فارسي :
Big Data describes emerging generation of architecture and technologies designed to extract value from large volumes of a
wide 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 reasonable
fashion. Due to rapid development of and emerging new cloud applications systems and services on big data, analyzing and evaluating of
these systems’ performance could be of critical importance. Implementation of real world infrastructures for testing these systems
imposes costs and problems. In big data era, simulation technology has become a useful tool. In this paper, cloud computing simulation
tools will be investigated as big data infrastructure-as-a-service simulation tools and MapReduce simulators will be reviewed as big data
software-as-a-service simulators, as well.