Energy Saving in Green Computing

2019 ◽  
Vol 7 (3) ◽  
pp. 719-722
Author(s):  
Faiza Saghir ◽  
Shabina Ghafir
Keyword(s):  
Energy Saving ◽  
Green Computing

Profile-based building energy saving service in green computing environment

ICTC 2011 ◽  
2011 ◽  
Author(s):  
Hyunjeong Lee ◽  
Jinsoo Han ◽  
Youn-Kwae Jeong ◽  
Il-Woo Lee
Keyword(s):  
Energy Saving ◽  
Building Energy ◽  
Green Computing ◽  
Computing Environment ◽  
Building Energy Saving

scholarly journals Green Computing: An Era of Energy Saving Computing of Cloud Resources

2021 ◽  
Vol 7 (2) ◽  
pp. 42-48
Author(s):  
Shailesh Saxena ◽  
◽  
Mohammad Zubair Khan ◽  
Ravendra Singh
Keyword(s):  
Energy Saving ◽  
Green Computing ◽  
Cloud Resources

Research on Generalized Green Computing

2011 ◽  
Vol 50-51 ◽  
pp. 733-737
Author(s):  
Juan Li Hu ◽  
Jia Bin Deng ◽  
Jin Bo Liu ◽  
Jue Bo Wu
Keyword(s):  
Sustainable Development ◽  
Energy Saving ◽  
Environmental Protection ◽  
Science Research ◽  
Green Energy ◽  
Green Computing ◽  
Future Directions ◽  
Research Task

Green, energy-saving, environmental protection and sustainable development have become the most popular buzzword and topic in science research. This paper presents the concept of generalized green computing and describes the limit and the range for it, including the research task and relationship. It analyzes and compares these researches on green computing. Problems of current topics are discussed, and finally future directions are proposed in this paper.

scholarly journals Methods in Green Computing to Protect Environment

2021 ◽  
pp. 116-122
Author(s):  
Chiraparapu Srinivasa Rao ◽  
N. Naga Sarveswara Rao
Keyword(s):  
Energy Saving ◽  
Electronic Devices ◽  
Green Computing ◽  
Personal Computers ◽  
Electronic Products ◽  
Sustainable Resources ◽  
General Overview ◽  
Current State ◽  
The World ◽  
Profit Centers

The introduction of semi conductors changed the world which made our electronic devices and personal computers simple and complex this impact made many companies to introduce lot of computer organized devices which are available to commoners and every individual due to this within a years the usage of these items increased that means the material demand increased in a fast forward the pollutants from it also increased which is harming environment. So, in order to save environment green computing must be followed this topic is very important as how recycling, non-biodegradable components, eco friendly products, hazardous CFCs all comes under this including energy saving, efficiency providing things, sustainable resources. This presentation gives a general overview on the current state of opportunities which are seeing it as a way to create new profit centers while trying to help the environment cause and several formations that we can explore in it in coming future. The new electronic products and services with optimum efficiency and all possible options towards energy saving.

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

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