Static and Dynamic Group Migration Algorithms of Virtual Machines to Reduce Energy Consumption of a Server Cluster

AbstractThe paper analyses the role of control and monitoring of electro-energetic equipment in order to reduce operational costs, increase profits and reduce carbon emissions. The role of SCADA and EcoStruxure Power systems is presented and analysed taking into account the energy consumption and its savings. The paper presents practical and modern solutions to reduce energy consumption by up to 53%, mass by up to 47% and increase the life of the equipment by adjusting the electrical parameters. The Integrated Navigation System has allowed an automatic control and an efficient management. For ships, the implementation of an energy efficiency design index and new technologies was required for the GREEN SHIP project.

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An Analysis of the Use of Energy Audits, Solar Panels, and Wind Turbines to Reduce Energy Consumption from Non Renewable Energy Sources

10.21236/ada626067 ◽

2015 ◽

Author(s):

Isaac J. Crumbly ◽

Haixin Wang

Keyword(s):

Renewable Energy ◽

Energy Consumption ◽

Wind Turbines ◽

Renewable Energy Sources ◽

Energy Sources ◽

Solar Panels ◽

Reduce Energy Consumption ◽

Energy Audits

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The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

The Open Fuels & Energy Science Journal ◽

10.2174/1876973x01508010206 ◽

2015 ◽

Vol 8 (1) ◽

pp. 206-210 ◽

Cited By ~ 2

Author(s):

Yu Junyang ◽

Hu Zhigang ◽

Han Yuanyuan

Keyword(s):

Energy Efficiency ◽

Cloud Computing ◽

Energy Consumption ◽

Energy Saving ◽

Energy Estimate ◽

Cloud Platform ◽

Periodic Tasks ◽

Current Consumption ◽

Reduce Energy Consumption

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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Performance Analysis of Energy Efficient Opportunistic Routing Protocols in Wireless Sensor Network

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327909666191026092311 ◽

2019 ◽

Vol 09 ◽

Cited By ~ 1

Author(s):

Premkumar Chithaluru ◽

Rajeev Tiwari ◽

Kamal Kumar

Keyword(s):

Energy Consumption ◽

Routing Protocols ◽

Energy Efficient ◽

Data Communication ◽

Opportunistic Routing ◽

Link Quality ◽

Delivery Ratio ◽

Performance Parameters ◽

Wireless Medium ◽

Reduce Energy Consumption

Background: Energy Efficient wireless routing has been an area of research particularly to mitigate challenges surrounding performance in category of Wireless Networks. Objectives: The Opportunistic Routing (OR) technique was explored in recent times and exhibits benefits over many existing protocols and can significantly reduce energy consumption during data communication with very limited compromise on performance. Methods : Using broadcasting nature of the wireless medium, OR practices to discourse two foremost issues of variable link quality and unpredictable node agility in constrained WSNs. OR has a potential to reduce delay in order to increase the consistency of data delivery in network. Results : Various OR based routing protocols have shown varying performances. In this paper, a detailed conceptual and experimental analysis is carried out on different protocols that uses OR technique for providing more clear and definitive view on performance parameters like Message Success Rate, Packet Delivery Ratio and Energy Consumption.

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