scholarly journals Green computing – The New Era of Energy Efficient Computing

2012 ◽  
Vol 3 (1) ◽  
pp. 173-175
Author(s):  
Rupali Dhir
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Hazardous Materials ◽  
Green Computing ◽  
Green It ◽  
Electronic Products ◽  
New Era ◽  
Safe Place ◽  
Energy Efficient Computing ◽  
Mother Earth

Green computing is the study and practice of using computing resources efficiently. It aims to reduce the use of hazardous materials, maximize energy efficiency during the product's lifetime, and promote recyclability or biodegradability of defunct products and factory waste. The plan towards green IT should include new electronic products and services with optimum efficiency. Green computing strategies can help us to build a safe place for us to live in .If each one of us becomes successful in constructing a healthy environmental balcony for ourselves then trust us we can together make our mother earth a healthy and a happy place for us to survive here.

scholarly journals Energy Efficiency Analysis Between Green Computing and Cloud Computing

2019 ◽  
Vol 8 (3S2) ◽  
pp. 254-258
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Data Center ◽  
Energy Efficient ◽  
Green Computing ◽  
Energy Efficient Computing ◽  
Green Data Center ◽  
Computer Resources ◽  
Server System ◽  
Energy Efficiency Analysis

Usually cloud computing is based under effective data computing but green cloud computing focus on energy efficiency of device and computing mainly based on computing architecture. Here cloud computing is also known as green computing due its better effective energy. The purpose of green computing is to decrease the usage of harmful resources, maximizing energy efficiency throughout the living span of the good and also to promote the recyclability or bio degradability of useless goods plus misuse materials of the factory. In order to simulate the hardware by utilizing software, green computing plays a major role for various technologies like virtualization, green data center, cloud and grid computing and power optimization. Here computer resources are effectively utilized by replacing the data center standalone server system by artificial server so as to run the software by less number for large computers called as virtualized. Finally this paper is fulfilled by the advancement of recognized energy efficient computing

scholarly journals Physical Computing: Unifying Real Number Computation to Enable Energy Efficient Computing

2021 ◽  
Vol 11 (2) ◽  
pp. 14
Author(s):  
Jennifer Hasler ◽  
Eric Black
Keyword(s):  
Energy Efficiency ◽  
Quantum Computing ◽  
Energy Efficient ◽  
Application Development ◽  
Machine Model ◽  
Physical Computing ◽  
Computational Theory ◽  
Energy Efficient Computing ◽  
Real Value ◽  
Improve Algorithm

Physical computing unifies real value computing including analog, neuromorphic, optical, and quantum computing. Many real-valued techniques show improvements in energy efficiency, enable smaller area per computation, and potentially improve algorithm scaling. These physical computing techniques suffer from not having a strong computational theory to guide application development in contrast to digital computation’s deep theoretical grounding in application development. We consider the possibility of a real-valued Turing machine model, the potential computational and algorithmic opportunities of these techniques, the implications for implementation applications, and the computational complexity space arising from this model. These techniques have shown promise in increasing energy efficiency, enabling smaller area per computation, and potentially improving algorithm scaling.

Green Computing

2016 ◽  
pp. 84-108 ◽  
Author(s):  
Mainak Adhikari ◽  
Debapriya Roy
Keyword(s):  
Energy Efficiency ◽  
Public Relations ◽  
Energy Efficient ◽  
Green Computing ◽  
Computer Industry ◽  
Best Interest ◽  
Green Is ◽  
Efficient Coding ◽  
Reduced Costs

Green computing considers use of computers and related resources in an eco-friendly manner such as the implementation of energy efficiency in Servers, Peripherals etc. In recent years, companies in the computer industry realize that going green is in their best interest, both in terms of public relations and reduced costs. The principle behind energy efficient coding is to save power by getting software to make less use of the hardware, rather than continuing to run the same code on hardware that uses less power. This chapter first discuss features, challenges and impacts of green computing. Finally this chapter point out the standard and recommendation of green computing with suitable example.

scholarly journals Towards Energy-Efficient and Secure Computing Systems

2018 ◽  
Vol 8 (4) ◽  
pp. 48
Author(s):  
Zhiming Zhang ◽  
Qiaoyan Yu
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Security Threats ◽  
Hardware Cost ◽  
Computing Systems ◽  
Energy Efficient Computing ◽  
Secure Computing

Countermeasures against diverse security threats typically incur noticeable hardware cost and power overhead, which may become the obstacle for those countermeasures to be applicable in energy-efficient computing systems. This work presents a summary of energy-efficiency techniques that have been applied in security primitives or mechanisms to ensure computing systems’ resilience against various security threats on hardware. This work also uses examples to discuss practical methods for securing the hardware for computing systems to achieve energy efficiency.

Green and Energy-Efficient Computing Architecture for E-Learning

2016 ◽  
pp. 252-277
Author(s):  
K. Palanivel ◽  
S. Kuppuswami
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Data Centers ◽  
Critical Issue ◽  
Green Computing ◽  
Cloud Infrastructure ◽  
Computing Architecture ◽  
Energy Efficient Computing ◽  
E Learning

Information and Communication Technology (ICT) is one of the fast growing industries that facilitate many latest services to the users and therefore, the number of users is increasing rapidly. The usage of ICT and its life cycle produce hazardous substances that need to be addressed in efficient and green ways. The adoption of green computing involves many improvements and provide energy-efficiency services for data centers, power management and cloud computing. Cloud computing is a highly scalable and cost-effective infrastructure for running Web applications. However, the growing demand of Cloud infrastructure has drastically increased the energy consumption of data centers, which has become a critical issue. Hence, energy-efficient solutions are required to minimize the impact of Cloud environment. E-learning methodology is an example of Green computing. Thus, it is proposed a Green Cloud Computing Architecture for e-Learning Applications that can lower expenses and reduce energy consumption.

Green and Energy-Efficient Computing Architecture for E-Learning

2016 ◽  
pp. 1668-1692 ◽  
Author(s):  
K. Palanivel ◽  
S. Kuppuswami
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Data Centers ◽  
Critical Issue ◽  
Green Computing ◽  
Cloud Infrastructure ◽  
Computing Architecture ◽  
Energy Efficient Computing ◽  
E Learning

Information and Communication Technology (ICT) is one of the fast growing industries that facilitate many latest services to the users and therefore, the number of users is increasing rapidly. The usage of ICT and its life cycle produce hazardous substances that need to be addressed in efficient and green ways. The adoption of green computing involves many improvements and provide energy-efficiency services for data centers, power management and cloud computing. Cloud computing is a highly scalable and cost-effective infrastructure for running Web applications. However, the growing demand of Cloud infrastructure has drastically increased the energy consumption of data centers, which has become a critical issue. Hence, energy-efficient solutions are required to minimize the impact of Cloud environment. E-learning methodology is an example of Green computing. Thus, it is proposed a Green Cloud Computing Architecture for e-Learning Applications that can lower expenses and reduce energy consumption.

Analysis Criteria for Choosing Energy Efficient High-Quality Light Sources and Luminaires

2018 ◽  
pp. 113-119
Author(s):  
Gennady Ya. Vagin ◽  
Eugene B. Solntsev ◽  
Oleg Yu. Malafeev
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
National Standards ◽  
Light Sources ◽  
The European Union ◽  
High Quality ◽  
Eu Directive ◽  
The World ◽  
A New Technique ◽  
Energy Labelling

The article analyses critera applying to the choice of energy efficient high quality light sources and luminaires, which are used in Russian domestic and international practice. It is found that national standards GOST P 54993–2012 and GOST P 54992– 2012 contain outdated criteria for determining indices and classes of energy efficiency of light sources and luminaires. They are taken from the 1998 EU Directive #98/11/EU “Electric lamps”, in which LED light sources and discharge lamps of high intensity were not included. A new Regulation of the European Union #874/2012/EU on energy labelling of electric lamps and luminaires, in which these light sources are taken into consideration, contains a new technique of determining classes of energy efficiency and new, higher classes are added. The article has carried out a comparison of calculations of the energy efficiency classes in accordance with GOST P 54993 and with Regulation #874/2012/EU, and it is found out that a calculation using GOST P 54993 gives underrated energy efficiency classes. This can lead to interdiction of export for certain light sources and luminaires, can discredit Russian domestic manufacturer light sources and does not correspond to the rules of the World Trade Organization (WTO).

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

MANUFACTURING OF ENERGY EFFICIENT SOLAR PANELS

2020 ◽  
Author(s):  
Андрей Дмитриевич Бухтеев ◽  
Виктория Буянтуевна Бальжиева ◽  
Анна Романовна Тарасова ◽  
Фидан Гасанова ◽  
Светлана Викторовна Агасиева
Keyword(s):  
Energy Efficiency ◽  
Solar Cells ◽  
Energy Efficient ◽  
Solar Panels

В данном обзоре приведены проблемы при использовании солнечных элементов и существующие решения этих проблем по повышению энергоэффективности фотоэлементов. Также сравнивается КПД этих солнечных элементов и рассматриваются их особенности. Одним из самых эффективных способов стало применение нанотехнологий. This review presents the problems of using solar cells and existing solutions to these problems to improve the energy efficiency of solar cells. The efficiency of these solar cells is also compared and their features are considered. One of the most effective methods was the use of nanotechnology.

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