A Tabu Search Algorithm for the Location of Data Centers and Software Components in Green Cloud Computing Networks

2013 ◽  
Vol 1 (1) ◽  
pp. 22-35 ◽  
Author(s):  
Federico Larumbe ◽  
Brunilde Sanso
Keyword(s):  
Cloud Computing ◽  
Tabu Search ◽  
Data Centers ◽  
Search Algorithm ◽  
Tabu Search Algorithm ◽  
Software Components ◽  
Green Cloud Computing ◽  
Green Cloud

Survey of State-of-Art in Green Cloud Computing

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.

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.

Survey of State-of-Art in Green Cloud Computing

2016 ◽  
Vol 7 (1) ◽  
pp. 25-36 ◽  
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.

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

2019 ◽  
Vol 9 (1) ◽  
pp. 59-81 ◽  
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.

A Hybrid Approach for Enhancing the Metrics in Green Cloud Computing

2017 ◽  
Vol 7 (11) ◽  
pp. 56
Author(s):  
Gayathri .B ◽  
R. Anbuselvi
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Co2 Emission ◽  
High Performance ◽  
Data Centers ◽  
Hybrid Approach ◽  
Green Cloud Computing ◽  
Prime Concern ◽  
Tightly Coupled ◽  
Green Cloud

Cloud computing provides computing power and resources as a service to users across the globe. This scheme was introduced as a means to an end for customer’s worldwide, providing high performance at a cheaper cost when compared to dedicated high-performance computing machines. This provision requires huge data-centers to be tightly-coupled with the system, the increasing use of which yields heavy consumption of energy and huge emission of CO2. Since energy has been a prime concern of late, this issue generated the importance of green cloud computing that provides techniques and algorithms to reduce energy wastage by incorporating its reuse. In this survey we discuss key techniques to reduce the energy consumption and CO2 emission that can cause severe health issues. We begin with a discussion on green matrices appropriate for data-centers and then throw light on green scheduling algorithms that facilitate reduction in energy consumption and CO2 emission levels in the existing systems. At the same time the various existing architectures related to green cloud also discussed in this paper with their pros and cons .PALP algorithm has been presented to predict the load and have energy efficiency in overloaded and under loaded systems

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

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.

Green Cloud Computing

2014 ◽  
pp. 508-533
Author(s):  
Ahmed Abdul Hassan Al-Fatlawi ◽  
Seifedine Kadry
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Power Consumption ◽  
Data Center ◽  
Data Centers ◽  
Efficient Manner ◽  
Green Cloud Computing ◽  
Efficient Processing ◽  
Green Cloud ◽  
Problem Data

Green Cloud computing is envisioned to achieve not only efficient processing and utilization of computing but also to minimize energy consumption. This is essential for ensuring that the future growth of Cloud computing is sustainable. Otherwise, Cloud computing with increasingly pervasive client devices interacting with data centers will cause an enormous escalation of energy usage. To address this problem, data center resources need to be managed in an energy-efficient manner to drive Green Cloud computing. The management of power consumption in data centers has led to a number of substantial improvements in energy efficiency. Techniques such as ON/OFF mode on server of data centers improve the energy efficiency of Cloud computing. In this chapter, the authors present how to calculate power consumption in Cloud computing and how power consumption in a data center can be reduced when its storage is used in a way that decreases the time needed to access it.

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