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

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.

2019 ◽  
pp. 1360-1369
Author(s):  
Sanjay P. Ahuja ◽  
Karthika Muthiah

Cloud computing is witnessing tremendous growth at one time when climate change and reducing emissions from energy use is gaining attention. With the growth of the cloud, however, comes an increase in demand for energy. There is growing global awareness about reducing greenhouse gas emissions and healthy environments. Green computing in general aims to reduce the consumption of energy and carbon emission and also to recycle and reuse the energy usage in a beneficial and efficient way. Energy consumption is a bottleneck in internet computing technology. Green cloud computing related technology arose as an improvement to cloud computing. Cloud data centers consume inordinate amounts of energy and have significant CO2 emissions as they have a huge network of servers. Furthermore, these data centers are tightly linked to provide high performance services, outsourcing and sharing resources to multiple users through the internet. This paper gives an overview about green cloud computing and its evolution, surveys related work, discusses associated integrated green cloud architecture – Green Cloud Framework, innovations, and technologies, and highlights future work and challenges that need to be addressed to sustain an eco-friendly cloud computing environment that is poised for significant growth.


2016 ◽  
Vol 7 (1) ◽  
pp. 25-36 ◽  
Author(s):  
Sanjay P. Ahuja ◽  
Karthika Muthiah

Cloud computing is witnessing tremendous growth at one time when climate change and reducing emissions from energy use is gaining attention. With the growth of the cloud, however, comes an increase in demand for energy. There is growing global awareness about reducing greenhouse gas emissions and healthy environments. Green computing in general aims to reduce the consumption of energy and carbon emission and also to recycle and reuse the energy usage in a beneficial and efficient way. Energy consumption is a bottleneck in internet computing technology. Green cloud computing related technology arose as an improvement to cloud computing. Cloud data centers consume inordinate amounts of energy and have significant CO2 emissions as they have a huge network of servers. Furthermore, these data centers are tightly linked to provide high performance services, outsourcing and sharing resources to multiple users through the internet. This paper gives an overview about green cloud computing and its evolution, surveys related work, discusses associated integrated green cloud architecture – Green Cloud Framework, innovations, and technologies, and highlights future work and challenges that need to be addressed to sustain an eco-friendly cloud computing environment that is poised for significant growth.


2019 ◽  
Vol 9 (1) ◽  
pp. 59-81 ◽  
Author(s):  
Jenia Afrin Jeba ◽  
Shanto Roy ◽  
Mahbub Or Rashid ◽  
Syeda Tanjila Atik ◽  
Md Whaiduzzaman

The article presents an efficient energy optimization framework based on dynamic resource scheduling for VM migration in cloud data centers. This increasing number of cloud data centers all over the world are consuming a vast amount of power and thus, exhaling a huge amount of CO2 that has a strong negative impact on the environment. Therefore, implementing Green cloud computing by efficient power reduction is a momentous research area. Live Virtual Machine (VM) migration, and server consolidation technology along with appropriate resource allocation of users' tasks, is particularly useful for reducing power consumption in cloud data centers. In this article, the authors propose algorithms which mainly consider live VM migration techniques for power reduction named “Power_reduction” and “VM_migration.” Moreover, the authors implement dynamic scheduling of servers based on sequential search, random search, and a maximum fairness search for convenient allocation and higher utilization of resources. The authors perform simulation work using CloudSim and the Cloudera simulator to evaluate the performance of the proposed algorithms. Results show that the proposed approaches achieve around 30% energy savings than the existing algorithms.


Author(s):  
Jenia Afrin Jeba ◽  
Shanto Roy ◽  
Mahbub Or Rashid ◽  
Syeda Tanjila Atik ◽  
Md Whaiduzzaman

The article presents an efficient energy optimization framework based on dynamic resource scheduling for VM migration in cloud data centers. This increasing number of cloud data centers all over the world are consuming a vast amount of power and thus, exhaling a huge amount of CO2 that has a strong negative impact on the environment. Therefore, implementing Green cloud computing by efficient power reduction is a momentous research area. Live Virtual Machine (VM) migration, and server consolidation technology along with appropriate resource allocation of users' tasks, is particularly useful for reducing power consumption in cloud data centers. In this article, the authors propose algorithms which mainly consider live VM migration techniques for power reduction named “Power_reduction” and “VM_migration.” Moreover, the authors implement dynamic scheduling of servers based on sequential search, random search, and a maximum fairness search for convenient allocation and higher utilization of resources. The authors perform simulation work using CloudSim and the Cloudera simulator to evaluate the performance of the proposed algorithms. Results show that the proposed approaches achieve around 30% energy savings than the existing algorithms.


Energies ◽  
2014 ◽  
Vol 7 (8) ◽  
pp. 5151-5176 ◽  
Author(s):  
Xiaolong Cui ◽  
Bryan Mills ◽  
Taieb Znati ◽  
Rami Melhem

2015 ◽  
Vol 18 (2) ◽  
pp. 889-908 ◽  
Author(s):  
Wassim Itani ◽  
Cesar Ghali ◽  
Ayman Kayssi ◽  
Ali Chehab ◽  
Imad Elhajj

2021 ◽  
Vol 9 (2) ◽  
pp. 11-21
Author(s):  
P. Hemalatha, Dr. K. Dhanalakshmi

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.


Author(s):  
Jai A. Mehta ◽  
Pankti K.Nanavati ◽  
Vishant K. Mehta

Green cloud computing is about designing cloud computing resources in a manner which reduces its impact on the surrounding environment. Green clouds can save a lot of energy and are also capable of reducing operational costs. This is a necessity today as global warming levels continue to rise across the planet. As more and more businesses shift towards cloud, it is important for all cloud providers to adopt green cloud computing. This paper provides an overview of green cloud computing and also talks about the ways in which it can be achieved. It also talks about the applications and challenges being faced for the implementation of green clouds


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