Analyzing Hadoop power consumption and impact on application QoS

Conejero, Javier; Rana, Omer; Burnap, Pete; Morgan, Jeffrey; Caminero, Blanca; Carrión, Carmen

doi:10.1016/j.future.2015.03.009

Cited by 33 publications

(20 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the first level, specific methods and techniques have been proposed for reducing energy consumption at the compiler layer, the operational layer, and the application layer [50,76,90,96,98,100]. These techniques include: powering off parts of the chips, slowing down CPU clock speeds, improving the performance per watt, developing the ability to run in higher-temperature environments, increasing the efficiency of workload management, and powering off parts of the components when they are idle [50,83,85,90].…”

Section: Discussion Of the Topics In The Review Articlesmentioning

confidence: 99%

Green Cloud Computing: A Literature Survey

Radu

2017

Symmetry

View full text Add to dashboard Cite

Cloud computing is a dynamic field of information and communication technologies (ICTs), introducing new challenges for environmental protection. Cloud computing technologies have a variety of application domains, since they offer scalability, are reliable and trustworthy, and offer high performance at relatively low cost. The cloud computing revolution is redesigning modern networking, and offering promising environmental protection prospects as well as economic and technological advantages. These technologies have the potential to improve energy efficiency and to reduce carbon footprints and (e-)waste. These features can transform cloud computing into green cloud computing. In this survey, we review the main achievements of green cloud computing. First, an overview of cloud computing is given. Then, recent studies and developments are summarized, and environmental issues are specifically addressed. Finally, future research directions and open problems regarding green cloud computing are presented. This survey is intended to serve as up-to-date guidance for research with respect to green cloud computing.

show abstract

Section: Discussion Of the Topics In The Review Articlesmentioning

confidence: 99%

Green Cloud Computing: A Literature Survey

Radu

2017

Symmetry

View full text Add to dashboard Cite

show abstract

“…The joint architecture of RRU allocation and RRH association has been studied to any improves the performance of cluster content caching. They defines energy consumption for high throughput workloads of several of virtual machines running the hadoop system by an Open Nebula Cloud [20]. The main target of this work is to focus how the power consumption can be related to the number of Virtual Machines (VMs) & the associated workload generated on a physical server.…”

Section: Related Workmentioning

confidence: 99%

To Analyze Power Consumption and Quality of Service using Map Reduce on Hadoop: A Survey

Rai¹,

Namdev²

2018

IJCA

View full text Add to dashboard Cite

Data is growing at a rate which cannot be handled by the traditional methods of computing. To store and process such data new data analysis and storage techniques have emerged over the last few years. Hadoop is one such parallel processing open source framework which provides distributed storage and processing of Big data. Big Data analytics has emerged as an attractive domain of research these days. For handling big data cloud computing has been used and back end of thetechnology is cluster of resources. Cluster of resources can be formed using a framework like Apache Hadoop. In this paper a survey is performed on big data analysis using Apache Hadoop and other utility tools. For better performance of cloud Quality of service and power consumption should be optimal. So in this survey is discuss resolves around Quality of Service and energy consumption.

show abstract

“…A Cloud infrastructure along with its cooling resources consume a large amount of energy to operate, which may cause ecological and economic issues. From the economical perspective, Cloud providers consider energy consumption as one of the key cost factors with a substantial impact on the operational cost of the Cloud infrastructure [1]. Therefore, various energy efficient techniques have been introduced to help Cloud providers reduce the energy cost of their infrastructure, which can then lead to reducing the cost of operational expenditure (OPEX) and having less negative impact on the environment.…”

Section: Introductionmentioning

confidence: 99%