scholarly journals EXPLORATION ON GREEN COMMUNICATION TECHNOLOGIES FOR IOT IN HEALTH, EDUCATION AND INDUSTRY

2021 ◽  
Vol 9 (2) ◽  
pp. 11-21
Author(s):  
P. Hemalatha, Dr. K. Dhanalakshmi
Keyword(s):  
Health Education ◽  
Data Centers ◽  
Communication Technologies ◽  
Energy Aware ◽  
Green Communication ◽  
Cloud Models ◽  
Trade Offs ◽  
Education Industry ◽  
Green Cloud ◽  
Save Energy

To improve the protection of economyas well as environment, Green communication is used in Health, Education, Industry, as well as Ecosystem for overcoming the stumbling blocks which destroy the IoT’s ecofriendly as well as sustainable nature of the sources of energy. Followed by that, to meet these problems, green communication technologies started to decrease the losses of energy as well as decrease electronic -wastes and contaminations; for example, energy-aware tags, green cloud models, as well as resource-constrained data centers. Energy-aware decreased RFID tags with least possible frequencies employed to efficientlytrackpatients, hospital bed allotments, automatically distributing the pills, managing attendances at the entrances in various institutes, tracking children at school, digital library cards, managing supply chains. Adding to that, the green cloud employs effective switching as well as VM techniques to save energy, thereforeemployedto efficiently storeas well as retrieve of medical, institutional, as well as industrial data. Following that, green data centers alongside the least carbo footprints as well asconsuming power assistingMedical field, Educational, Industrial needsthrough saving the price for managing repositories. Though there are benefits, it is crucial to investigate it better using the new green computing technologies for IoT.This paper describesdifferent trade-offs whilemaking green IoTbe sustainable.It finds out an efficient platform to start new studies to demonstrate new and innovative green communication solutions for IoT in Health, Education, Industry.

Smart Configuration and Auto Allocation of Resource in Cloud Data Centers

2018 ◽  
Vol 5 (4) ◽  
pp. 1-23 ◽  
Author(s):  
Merzoug Soltane ◽  
Kazar Okba ◽  
Derdour Makhlouf ◽  
Sean B. Eom
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Data Centers ◽  
Multi Agent Systems ◽  
Energy Aware ◽  
Green Cloud Computing ◽  
Cloud Data ◽  
Operational Costs ◽  
Green Cloud ◽  
Save Energy

Cloud computing is one of emerging computing models that has many advantages. The IT industry is keenly aware of the need for Green Cloud computing solutions that save energy for the environment as well as reduce operational costs. This article presents a new green Cloud Computing framework based on multi agent systems for optimizing resource allocation in data centers (DCs). Our framework based on a new cloud computing architecture that benefits from the combination of the Cloud and agent technologies. DCs hosting Cloud applications need energy-aware resource allocation mechanisms that minimize energy costs and other operational costs. This article offers a logical solution to manage physical and virtual resources in smarter data center.

scholarly journals Strategies for Improving the Sustainability of Data Centers via Energy Mix, Energy Conservation, and Circular Energy

2021 ◽  
Vol 13 (11) ◽  
pp. 6114
Author(s):  
Matteo Manganelli ◽  
Alessandro Soldati ◽  
Luigi Martirano ◽  
Seeram Ramakrishna
Keyword(s):  
Environmental Impact ◽  
Information And Communication Technologies ◽  
Power Distribution ◽  
Energy Use ◽  
Data Centers ◽  
Communication Technologies ◽  
Use Of Data ◽  
Research Perspectives ◽  
Information And Communication ◽  
Energy Efficiency And Conservation

Information and communication technologies (ICT) are increasingly permeating our daily life and we ever more commit our data to the cloud. Events like the COVID-19 pandemic put an exceptional burden upon ICT. This involves increasing implementation and use of data centers, which increased energy use and environmental impact. The scope of this work is to summarize the present situation on data centers as to environmental impact and opportunities for improvement. First, we introduce the topic, presenting estimated energy use and emissions. Then, we review proposed strategies for energy efficiency and conservation in data centers. Energy uses pertain to power distribution, ICT, and non-ICT equipment (e.g., cooling). Existing and prospected strategies and initiatives in these sectors are identified. Among key elements are innovative cooling techniques, natural resources, automation, low-power electronics, and equipment with extended thermal limits. Research perspectives are identified and estimates of improvement opportunities are mentioned. Finally, we present an overview on existing metrics, regulatory framework, and bodies concerned.

scholarly journals Shadow Replication: An Energy-Aware, Fault-Tolerant Computational Model for Green Cloud Computing

Energies ◽  
2014 ◽  
Vol 7 (8) ◽  
pp. 5151-5176 ◽  
Author(s):  
Xiaolong Cui ◽  
Bryan Mills ◽  
Taieb Znati ◽  
Rami Melhem
Keyword(s):  
Cloud Computing ◽  
Computational Model ◽  
Fault Tolerant ◽  
Energy Aware ◽  
Green Cloud Computing ◽  
Green Cloud

scholarly journals Energy aware dynamic virtual machine consolidation in cloud data centers

2018 ◽  
Vol 7 (2.8) ◽  
pp. 550 ◽  
Author(s):  
G Anusha ◽  
P Supraja
Keyword(s):  
Energy Consumption ◽  
Virtual Machine ◽  
Data Centers ◽  
Energy Aware ◽  
Large Power ◽  
Complex Tasks ◽  
Cloud Data ◽  
Network Bandwidth ◽  
Virtual Machine Consolidation ◽  
Cloud Data Centers

Cloud computing is a growing technology now-a-days, which provides various resources to perform complex tasks. These complex tasks can be performed with the help of datacenters. Data centers helps the incoming tasks by providing various resources like CPU, storage, network, bandwidth and memory, which has resulted in the increase of the total number of datacenters in the world. These data centers consume large volume of energy for performing the operations and which leads to high operation costs. Resources are the key cause for the power consumption in data centers along with the air and cooling systems. Energy consumption in data centers is comparative to the resource usage. Excessive amount of energy consumption by datacenters falls out in large power bills. There is a necessity to increase the energy efficiency of such data centers. We have proposed an Energy aware dynamic virtual machine consolidation (EADVMC) model which focuses on pm selection, vm selection, vm placement phases, which results in the reduced energy consumption and the Quality of service (QoS) to a considerable level.

scholarly journals Security-Reliability Tradeoff Analysis in Multisource Multirelay Cooperative Networks with Multiple Cochannel Interferers

2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Weilong Hu ◽  
Jiangbo Si ◽  
Hongyan Li
Keyword(s):  
Fading Channels ◽  
Physical Layer Security ◽  
Communication Technologies ◽  
Cooperative Networks ◽  
Cooperative Relaying ◽  
Green Communication ◽  
Intercept Probability ◽  
Outage Probabilities ◽  
Reliability Performance ◽  
The Impact

Cooperative relaying communication is one of the green communication technologies since it shortens the communication distance and saves the transmit power. In this paper, the physical-layer security (PLS) of a multisource multirelay cooperative relaying communication network is investigated by considering the influence of cochannel interference from a security-reliability tradeoff (SRT) perspective. First, the SRT performance is characterized by the outage probability (OP) and the intercept probability (IP). In particular, the IP encountered at the eavesdropper is used to evaluate the security performance, while the reliability performance is analyzed in terms of the OP experienced at the destination. Then, under the impact of multiple cochannel interferers, the intercept probabilities and the outage probabilities of both the conventional direct transmission (DT) strategy and relay selection (RS) strategy are derived in closed-form expressions over Rayleigh fading channels, respectively. Simulation results are provided to validate the theoretical analysis. It is shown that when the OP (reliability) requirement is relaxed, the IP (security) performance improves and vice versa. It confirms that there is an SRT existing between the OP and the IP. Meanwhile, a better SRT performance can be achieved by increasing the number of sources, relays, and cochannel interferers. In addition, it is also shown that the RS strategy generally outperforms the conventional DT strategy in terms of the product of the IP and the OP.

Two-Stage Passive Optical Pod Interconnects for Small Energy-Aware Data Centers

2019 ◽  
Author(s):  
Barbara Dumas Feris ◽  
Philippe Gravey ◽  
Marie-Laure Moulinard ◽  
Pascal Morel ◽  
Michel Morvan ◽  
...  
Keyword(s):  
Data Centers ◽  
Energy Aware ◽  
Two Stage ◽  
Small Energy

Optimized Renewable Energy Use in Green Cloud Data Centers

2019 ◽  
pp. 314-330
Author(s):  
Minxian Xu ◽  
Adel N. Toosi ◽  
Behrooz Bahrani ◽  
Reza Razzaghi ◽  
Martin Singh
Keyword(s):  
Renewable Energy ◽  
Energy Use ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Green Cloud
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