2013
DOI: 10.1109/mc.2013.162
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Clouds for Scalable Big Data Analytics

Abstract: Extracting useful knowledge from huge digital datasets requires smart and scalable analytics services, programming tools, and applications.

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Cited by 179 publications
(68 citation statements)
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“…In order to carry out the solutions of big data analytics in cloud, Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS) models can be applied [34] These resources, in turn, are used by program manufacturers as a computer infrastructure in order to execute their analytics programs. Any AaaS must be constructed on following principles [11]: -The sequence of steps for problem execution must be organized hierarchically.…”
Section: Analytics As a Servicementioning
confidence: 99%
“…In order to carry out the solutions of big data analytics in cloud, Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS) models can be applied [34] These resources, in turn, are used by program manufacturers as a computer infrastructure in order to execute their analytics programs. Any AaaS must be constructed on following principles [11]: -The sequence of steps for problem execution must be organized hierarchically.…”
Section: Analytics As a Servicementioning
confidence: 99%
“…Talia proposed that we can offer cloud computing data mining services from four levels [6] : the bottom layer forms the basic steps of data mining algorithm; The second layer is a separate data mining service, such as classification, clustering, etc. ; The third layer is distributed data mining models, such as parallel sorting, machine learning of aggregate type, etc.…”
Section: Implantation Of Data Analysismentioning
confidence: 99%
“…They also use data limited to GPS and taxi usage, whereas other data sources could be accessed and used. Talia (2013) presents the strengths of using the cloud for big data analytics in particular from a scalability stand point. They propose the development of infrastructures, platforms and service dedicated to data analytics.…”
Section: Big Data Transport Systemsmentioning
confidence: 99%
“…Whilst this technique has been proven successful with analytical techniques like latent-factor model or principal component analysis it showed less efficient than a straight forward map-reduce, on the other hand this tools greatly reduce the time of development. Talia (2013) proposes to perform analysis tasks on cloud and big data. They propose a three level of big data analytical service to the image of the three service levels in the cloud.…”
Section: Big Data Analyticsmentioning
confidence: 99%