Energy Efficiency in Cloud Computing

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

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Improving cloud computing energy efficiency

2012 IEEE Asia Pacific Cloud Computing Congress (APCloudCC) ◽

10.1109/apcloudcc.2012.6486511 ◽

2012 ◽

Cited By ~ 12

Author(s):

Awada Uchechukwu ◽

Keqiu Li ◽

Yanming Shen

Keyword(s):

Energy Efficiency ◽

Cloud Computing

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Managing Energy Efficiency in the Cloud Computing Environment Using SNMPv3: A Quantitative Analysis of Processing and Power Usage

2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) ◽

10.1109/dasc-picom-datacom-cyberscitec.2016.60 ◽

2016 ◽

Author(s):

Asif Iqbal ◽

Colin Pattinson ◽

Ah-Lian Kor

Keyword(s):

Energy Efficiency ◽

Cloud Computing ◽

Quantitative Analysis ◽

Computing Environment ◽

Cloud Computing Environment

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Energy efficiency in cloud computing data center: a survey on hardware technologies

Cluster Computing ◽

10.1007/s10586-021-03431-z ◽

2021 ◽

Author(s):

Avita Katal ◽

Susheela Dahiya ◽

Tanupriya Choudhury

Keyword(s):

Energy Efficiency ◽

Cloud Computing ◽

Data Center

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Survey on Energy Efficiency in Cloud Computing

Journal of Information Technology & Software Engineering ◽

10.4172/2165-7866.1000164 ◽

2016 ◽

Vol 06 (01) ◽

Author(s):

Backialakshmi M ◽

Hemavathi N

Keyword(s):

Energy Efficiency ◽

Cloud Computing

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SNMP for Cloud Environment Energy Efficiency

10.21203/rs.3.rs-720622/v1 ◽

2021 ◽

Author(s):

Marta Chinnici ◽

Asif Iqbal ◽

ah lian kor ◽

colin pattinson ◽

eric rondeau

Keyword(s):

Energy Efficiency ◽

Cloud Computing ◽

Power Consumption ◽

Empirical Evidence ◽

Rapid Growth ◽

Virtual Machines ◽

Cloud Environment ◽

Second Stage ◽

The Core ◽

Snmp Protocol

Abstract Cloud computing has seen rapid growth and environments are now providing multiple physical servers with several virtual machines running on those servers. Networks have grown larger and have become more powerful in recent years. A vital problem related to this advancement is that it has become increasingly complex to manage networks. SNMP is one standard which is applied as a solution to this management of networks problem. This work utilizes SNMP to explore the capabilities of SNMP protocol and its features for monitoring, control and automation of virtual machines and hypervisors. For this target, a stage-wise solution has been formed that obtains results of experiments from the first stage uses SNMPv3 and feed to the second stage for further processing and advancement. The target of the controlling experiments is to explore the extent of SNMP capability in the control of virtual machines running in a hypervisor, also in terms of energy efficiency. The core contribution based on real experiments is conducted to provide empirical evidence for the relation between power consumption and virtual machines.

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