Advances in Green Cloud Computing

2021 ◽

pp. 2651-2662

Author(s):

Sanjay P. Ahuja ◽

Karthika Muthiah

Keyword(s):

Cloud Computing ◽

Energy Use ◽

Global Awareness ◽

Green Cloud Computing ◽

Cloud Data ◽

Cloud Framework ◽

Cloud Data Centers ◽

Green Cloud ◽

Recycle And Reuse ◽

Future Work

Cloud computing is witnessing tremendous growth at a 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. Cloud data centers consume inordinate amounts of energy and have significant CO2 emissions. This chapter 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, discusses green cloud computing scenarios, 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.

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Survey of State-of-Art in Green Cloud Computing

International Journal of Green Computing ◽

10.4018/ijgc.2016010102 ◽

2016 ◽

Vol 7 (1) ◽

pp. 25-36 ◽

Cited By ~ 7

Author(s):

Sanjay P. Ahuja ◽

Karthika Muthiah

Keyword(s):

Cloud Computing ◽

High Performance ◽

Energy Use ◽

Data Centers ◽

Green Cloud Computing ◽

Cloud Data ◽

Cloud Framework ◽

Green Cloud ◽

Recycle And Reuse ◽

Future Work

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.

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Survey of State-of-Art in Green Cloud Computing

Green Business ◽

10.4018/978-1-5225-7915-1.ch066 ◽

2019 ◽

pp. 1360-1369

Author(s):

Sanjay P. Ahuja ◽

Karthika Muthiah

Keyword(s):

Cloud Computing ◽

High Performance ◽

Energy Use ◽

Data Centers ◽

Green Cloud Computing ◽

Cloud Data ◽

Cloud Framework ◽

Services Outsourcing ◽

Green Cloud ◽

Recycle And Reuse

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.

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Towards Green Cloud Computing an Algorithmic Approach for Energy Minimization in Cloud Data Centers

International Journal of Cloud Applications and Computing ◽

10.4018/ijcac.2019010105 ◽

2019 ◽

Vol 9 (1) ◽

pp. 59-81 ◽

Cited By ~ 7

Author(s):

Jenia Afrin Jeba ◽

Shanto Roy ◽

Mahbub Or Rashid ◽

Syeda Tanjila Atik ◽

Md Whaiduzzaman

Keyword(s):

Cloud Computing ◽

Data Centers ◽

Dynamic Scheduling ◽

Random Search ◽

Power Reduction ◽

Vm Migration ◽

Green Cloud Computing ◽

Cloud Data ◽

Cloud Data Centers ◽

Green Cloud

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.

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Towards Green Cloud Computing an Algorithmic Approach for Energy Minimization in Cloud Data Centers

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing ◽

10.4018/978-1-7998-5339-8.ch040 ◽

2021 ◽

pp. 846-872

Author(s):

Jenia Afrin Jeba ◽

Shanto Roy ◽

Mahbub Or Rashid ◽

Syeda Tanjila Atik ◽

Md Whaiduzzaman

Keyword(s):

Cloud Computing ◽

Data Centers ◽

Dynamic Scheduling ◽

Random Search ◽

Power Reduction ◽

Vm Migration ◽

Green Cloud Computing ◽

Cloud Data ◽

Cloud Data Centers ◽

Green Cloud

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.

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Optimized Renewable Energy Use in Green Cloud Data Centers

Service-Oriented Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33702-5_24 ◽

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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Smart Configuration and Auto Allocation of Resource in Cloud Data Centers

International Journal of Business Analytics ◽

10.4018/ijban.2018100101 ◽

2018 ◽

Vol 5 (4) ◽

pp. 1-23 ◽

Cited By ~ 1

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.

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