scholarly journals Comparisons of Energy Efficiency Management Techniques in Cloud Based Environment

2021 ◽  
Vol 12 (2) ◽  
pp. 491-499
Author(s):  
Krishan Tuli , Et. al.
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Efficient ◽  
Vital Role ◽  
Literature Survey ◽  
It Services ◽  
Management Techniques ◽  
Time Basis ◽  
Virtual Resources ◽  
Very High

Cloud computing has been transforming large part of various IT services into virtualization which are made available as a utility services and scheduling plays a vital role here to get maximum utilization from various physical resources. Cloud Computing has been offering its virtual resources and services anywhere and anytime on pay-as-you-go basis. So, Cloud Computing becomes a backbone in the various fields of Industry and Academia for providing the storage backups, load balancing and most importantly providing the dynamic resource scheduling on a real-time basis. Therefore, energy consumption will be very high by the various clod data centers which lead to very high amount of operational cost and harm the environment as well. Hence, there is a requirement of Green Computing for the sustainability and ensuring the energy efficiency by energy efficient techniques. In present scenario, various energy efficient algorithms have been proposed by the researchers which reduce the energy efficiency of cloud environment. But all these algorithms have been evaluated using the same experimental environment which gives the related results and it becomes difficult for the researchers to choose the best algorithm among them. So to provide the better understanding on the various algorithms and helps researchers for choosing the best suitable algorithm, we have compared the various state of art energy efficient algorithm in more detailed way considering various prospective. Along with the comparison, we have also done studied the overview of investigated algorithm. Finally, we have the literature survey of various others related to different parameters and techniques. From the same literature survey, we have come to the conclusion of each author’s statement.

Energy-Efficiency in Cloud Data Centers

2013 ◽  
pp. 241-263
Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Data Center ◽  
Energy Efficient ◽  
Large Scale ◽  
Data Centers ◽  
High Energy ◽  
It Services ◽  
Data Center Network ◽  
Cloud Data

Cloud computing aims to migrate IT services to distant data centers in order to reduce the dependency of the services on the limited local resources. Cloud computing provides access to distant computing resources via Web services while the end user is not aware of how the IT infrastructure is managed. Besides the novelties and advantages of cloud computing, deployment of a large number of servers and data centers introduces the challenge of high energy consumption. Additionally, transportation of IT services over the Internet backbone accumulates the energy consumption problem of the backbone infrastructure. In this chapter, the authors cover energy-efficient cloud computing studies in the data center involving various aspects such as: reduction of processing, storage, and data center network-related power consumption. They first provide a brief overview of the existing approaches on cool data centers that can be mainly grouped as studies on virtualization techniques, energy-efficient data center network design schemes, and studies that monitor the data center thermal activity by Wireless Sensor Networks (WSNs). The authors also present solutions that aim to reduce energy consumption in data centers by considering the communications aspects over the backbone of large-scale cloud systems.

ERIDIS: ENERGY-EFFICIENT RESERVATION INFRASTRUCTURE FOR LARGE-SCALE DISTRIBUTED SYSTEMS

2011 ◽  
Vol 21 (02) ◽  
pp. 133-154 ◽  
Author(s):  
ANNE-CECILE ORGERIE ◽  
LAURENT LEFEVRE
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Distributed Systems ◽  
Energy Efficient ◽  
Large Scale ◽  
Generic Framework ◽  
Peer To Peer Systems ◽  
Dedicated Networks ◽  
Electrical Consumption ◽  
Hardware Designs

At the age of petascale machines, cloud computing and peer-to-peer systems, large-scale distributed systems need an ever-increasing amount of energy. These systems urgently require effective and scalable solutions to manage and limit their electrical consumption. As of now, most efforts are focused on energy-efficient hardware designs. Thus, the challenge is to coordinate all these low-level improvements at the middleware level to improve the energy efficiency of the overall systems. Resource-management solutions can indeed benefit from a broader view to pool the resources and to share them according to the needs of each user. In this paper, we propose ERIDIS, an Energy-efficient Reservation Infrastructure for large-scale DIstributed Systems. It provides a unified and generic framework to manage resources from Grids, Clouds and dedicated networks in an energy-efficient way.

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 Energy-Efficient Multi-Job Scheduling Model for Cloud Computing and Its Genetic Algorithm

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Xiaoli Wang ◽  
Yuping Wang ◽  
Hai Zhu
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Efficient ◽  
Job Scheduling ◽  
Point Of View ◽  
Scheduling Model ◽  
Fitness Value ◽  
New Energy ◽  
Searching Ability ◽  
Local Search Operator

For the problem that the energy efficiency of the cloud computing data center is low, from the point of view of the energy efficiency of the servers, we propose a new energy-efficient multi-job scheduling model based on Google’s massive data processing framework. To solve this model, we design a practical encoding and decoding method for the individuals and construct an overall energy efficiency function of the servers as the fitness value of each individual. Meanwhile, in order to accelerate the convergent speed of our algorithm and enhance its searching ability, a local search operator is introduced. Finally, the experiments show that the proposed algorithm is effective and efficient.

scholarly journals Energy-Efficient Resources Management in Container- Based Clouds

2021 ◽  
pp. 361-365
Author(s):  
Sujalkumar Patel ◽  
Dr. Sanjay Patel
Keyword(s):  
Energy Efficient ◽  
Data Centers ◽  
High Availability ◽  
Level Energy ◽  
Resources Management ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Cloud Environments ◽  
Management Techniques ◽  
Virtual Resources

Cloud enables access to a shared pool of virtual resources through Internet and its adoption rate is increasing because of its high availability, scalability and cost effectiveness. However, cloud data centers are one of the fastest-growing energy consumers and half of their energy consumption is wasted mostly because of inefficient allocation of the server’s resources. Therefore, this thesis focuses on software level energy management techniques that are applicable to containerized cloud environments. Containerized clouds are studied as containers are increasingly gaining popularity. And containers are going to be major deployment model in cloud environments.

Performance studies on vapour compression refrigeration system using PCM placed between wall and coil of the evaporator

2021 ◽  
pp. 095440892110627
Author(s):  
P. Saji Raveendran ◽  
R. Karthikeyan ◽  
P.C. Murugan ◽  
S. Sanjay ◽  
S. Vivek Raj ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Performance Studies ◽  
Energy Efficient ◽  
System Performance ◽  
Phase Change Materials ◽  
Temperature Fluctuations ◽  
Vital Role ◽  
Food Preservation ◽  
Refrigeration System ◽  
Vapour Compression

The vapour compression refrigeration system (VCRS) plays a vital role in the food preservation and it consumes more energy. The use of energy-efficient refrigerants, phase change materials (PCMs) in the condenser and evaporator, and the replacement of existing components, as well as nano-refrigerants, are all efforts made to increase the energy efficiency of the VCRS from different perspectives. Among them, the PCMs play a prominent role and gives sustainable energy efficiency in VCRS. This paper investigates and clarifies the energy efficiency of VCRS can be improved by incorporating a PCM into the evaporator cabin. The experimental results demonstrated substantial effects on system performance such as an improvement in COP of 7.1%, a decrease in per day energy consumption by 6.7%, and comparatively smaller temperature fluctuations within the freezer cabinet. The exergy efficiency is increased and Total Equivalent Warming Impact (TEWI) is decreasing than that of the system without PCM by 7.6 and 7% respectively. This technique is integrated into the VCRS, leading to savings in energy while also being useful for power interruptions common in areas with low grid reliability.

Research of Security Model and Cloud Computing Strategy

2014 ◽  
Vol 556-562 ◽  
pp. 6196-6198
Author(s):  
Ying Rui Ma
Keyword(s):  
Cloud Computing ◽  
Security Model ◽  
It Services ◽  
Computing Paradigm ◽  
Industrial Sectors ◽  
Internet Computing ◽  
Internet Users ◽  
Large Numbers ◽  
Security Problem ◽  
Virtual Resources

Cloud computing is a fast-developing Internet computing paradigm. It includes large numbers of IT resources, forms a large virtual resources pool, and offers the remote Internet users on-demand IT services. The easy, cheap and elastic resources in cloud are pulling increasing attentions of the enterprises and users. It is becoming the attention of the academia, industrial sectors and governments. However, the security problem is confining its popularization and development.

Energy-Efficient Data Processing in Cloud Computing Centers

2014 ◽  
Vol 910 ◽  
pp. 397-400
Author(s):  
Yang Ping Li ◽  
Shao Fen Zhong ◽  
Xiao Heng Pan ◽  
Hua Qiang Yuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Data Processing ◽  
Rapid Growth ◽  
Energy Efficient ◽  
Software Designers ◽  
Efficient Data ◽  
Computing Centers

Rapid growth in the cloud computing centers worldwide is posing serious challenges to both hardware and software designers on the energy efficiency issues. This paper explores particular challenges and potential promises on the part of data processing in these centers.

scholarly journals Current Scenario in Education Loans in India

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Minu John
Keyword(s):  
Professional Education ◽  
Financial Constraints ◽  
Student Loans ◽  
Vital Role ◽  
Literature Survey ◽  
Cost Of Education ◽  
Current Scenario ◽  
Conceptual Study ◽  
The Cost ◽  
Very High

Education plays a vital role in the development of a Nation. Due to the advent of self-financing colleges, the cost of education became very high. Education loan have been a great assistance to those students who have not been able to pursue professional education due to financial constraints. But loan programmes turned out to be disappointing in terms of repayment status. This study is purely a conceptual study which focuses on the Model Education Scheme introduced by Indian Banker’s Association.RBI instructed banks to implement the Model Educational Scheme to help the deserving students. In this study we can analyze the importance of educational loans, Benefits of educational loans, Issues in getting student loans, Problems faced by beneficiaries while taking education loans. Challenges of banks, Repayment and recovery of education loans. Rise of NPA as a result of non-payment of education loans through a detailed literature survey. Significance of study is also mentioned in this.

scholarly journals Energy-Efficient for Distributed Wireless Data Transmission in Mobile-Cloud Computing

2020 ◽  
Vol 9 (1) ◽  
pp. 1883-1886
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Data Transmission ◽  
Energy Efficient ◽  
Mobile Cloud Computing ◽  
Data Transfer ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Wireless Data ◽  
Wireless Data Transmission

In Mobile cloud computing, Energy Efficiency is the Key factors to perform every task with less Energy. The Smart phone users are increasing day by day the data transfer speed is also increase and the energy consumption is also increase. In this paper to maintain the energy efficient for distributed wireless data transmission in Mobile cloud computing is called Distributed Wireless Data Transmission (DWDT). By this method, energy efficient is to be handled by using best intermediate path of data transmission in Mobile Cloud Computing with Energy Efficient. With this methodology the mobile cloud services can be reliability and energy efficiency in wireless data transmission in mobile cloud environment.

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