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Towards an Energy-Aware Cloud Architecture for Smart Grids
[chapter]
2016
Lecture Notes in Computer Science
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Such monitoring and prediction provides the groundwork for providers passing on energy consumption costs to end users. ...
Smart grids offers the prospect of dynamic costs for a data center's energy usage. ...
Acknowledgements This work has received support through the EU 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 610874 as part of the ASCETiC project ...
doi:10.1007/978-3-319-43177-2_13
fatcat:ymzjof3arbakzfamnf4pge66ny
A survey of mathematical models, simulation approaches and testbeds used for research in cloud computing
2013
Simulation modelling practice and theory
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The first hurdle for carrying out research on cloud computing is the development of a suitable research platform. ...
By providing the landscape of research platforms for cloud systems, our aim is to help researchers identify a suitable approach for modelling, simulation or prototype implementation on which they can develop ...
In [13] , the same research group have modelled the power consumption of an IaaS cloud server as a linear function of the CPU utilisation and the performance degradation cost of migrating a virtual machine ...
doi:10.1016/j.simpat.2013.04.002
fatcat:i2tyh6xsb5dt3p7ktaucrp5uta
Performance Evaluation of Energy Efficient Power Models for Digital Cloud
2016
Indian Journal of Science and Technology
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Methods: Here we considered the CPU utilization and power consumption by enabling virtual machine migration. ...
Objectives: In our research work we have implemented four different power models such as linear model, cubic model, square model and square root model on an Infrastructure-as-a-Service (IaaS) Cloud environment ...
Authors in 15 outlined the rudimental ideas behind the services that compare the total cost of ownership of a physical machine with the cost of a virtual Cloud-based machine. ...
doi:10.17485/ijst/2016/v9i48/105639
fatcat:gqb2llry7zbktetbllpez4cz3y
Green Cloud: An Algorithmic Approach
2010
International Journal of Computer Applications
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The data centre hosting cloud application needs huge consumption of energy, which is subsequently responsible for the emission of carbon dioxide gas, which aggravates global warming-a threat to existence ...
Here we have introduced noble algorithm for proper utilization of energy for cloud computing. We have validated our study by a set of experiments using Ubuntu's 10.04 Server editions. ...
INTRODUCTION Cloud computing [16] has given a new orientation of computing based on "pay as you use" model. ...
doi:10.5120/1417-1914
fatcat:xcfnrmt3lbet3aapu4j7djmfu4
A Conceptual Framework for Realizing Energy Efficient Resource Allocation in Cloud Data Centre
2016
Indian Journal of Science and Technology
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Objectives: To present the state of the art on energy efficient frameworks in cloud computing environments Methods/ Statistical Analysis: To propose a conceptual framework for energy efficient IaaS (Infrastructure ...
Findings: The approach is based on virtualization and consolidation technique that enables on-demand and dynamic resource allocation while minimizing energy consumption and carbon emission of the data ...
Users and or consumers of cloud services, acquire resources from cloud service provider based on IaaS model. ...
doi:10.17485/ijst/2016/v9i46/107108
fatcat:kcthcdvpijea7irdehkcvfmnea
Energy-aware cost prediction and pricing of virtual machines in cloud computing environments
2019
Future generations computer systems
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VMs based on their resource usage and power consumption. ...
The evaluation on a Cloud testbed show that the proposed energy-aware cost prediction framework is capable of predicting the workload, power consumption and estimating total cost of the VMs with good prediction ...
Acknowledgment The authors would like to thank the European Commission for supporting this work under FP7 contract 610874 (ASCETiC project) and Horizon 2020 contract 687584 (TANGO project). ...
doi:10.1016/j.future.2018.10.027
fatcat:ps34ostxtjeghkals42nuqthym
An Adaptive Deployment Algorithm for IaaS Cloud Virtual Machines Based on Q Learning Mechanism
2021
Journal of Sensors
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In order to solve the above problems, an adaptive deployment algorithm for IaaS cloud virtual machines based on Q learning mechanism is proposed in this research. ...
The multistep Q learning algorithm is used to schedule the virtual machines based on the Q learning mechanism to complete the adaptive deployment of the IaaS cloud virtual machines. ...
An adaptive deployment algorithm for IaaS cloud virtual machines based on the Q learning mechanism is proposed. First, the deployment problem of the IaaS cloud virtual machines is analyzed. ...
doi:10.1155/2021/2119993
fatcat:6gi7ppdhqfdvtewnp5jzwuhyve
Energy-efficient Scheduling of Cloud Data Center Servers
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Optimizing server and network energy consumption in information centers can therefore decrease operating costs. ...
A new method of reducing the energy utilization of computer systems and networks in data centers while meeting the requirements of the cloud tenants for quality of service (QoS) is proposed here in this ...
In the virtualized information centers, energy consumption may be reduced by deciding which physical server should be placed on a virtual machine (VM). ...
doi:10.35940/ijitee.k1759.0981119
fatcat:xyxlpsectzeznm2esstdeokmia
Resource Management of IaaS Providers in Cloud Federation
2015
International Journal of Grid and Distributed Computing
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We have presented an approach in this paper to reduce power consumption for IaaS Providers, by choosing the most appropriate host and allocating the best virtual machine which leads to satisfy users requests ...
High energy consumption is one of the current challenges for cloud providers; also it should be discussed and researched about providers' profit as an important issue. ...
[17] have designed a data communication model for the members of a cloud confederation, and develop an algorithm and a model for cost calculation, which enhances the decision making process over all ...
doi:10.14257/ijgdc.2015.8.5.32
fatcat:mejnecvbtba7vmeeels24x4kpy
A Review on Scheduling in Cloud Computing
2016
International Journal of UbiComp
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Cloud computing is the requirement based on clients that this computing which provides software, infrastructure and platform as a service as per pay for use norm. ...
The survey gives an elaborate idea about grid, cloud, workflow scheduling to minimize the energy cost, efficiency and throughput of the system. ...
Virtual Machine
Scheduling for Improving
Energy Efficiency in
IAAS Cloud
VM-Mig algorithm Number of VM
Total energy
consumption
Changing traffic
between VM
This paper reduces the
Quantity of ...
doi:10.5121/iju.2016.7302
fatcat:afwp3yravjhbfm3yct5ux2enui
Causes of Energy Wastage in Cloud Data Centre Servers : A Survey
2019
International Journal of Scientific Research in Computer Science Engineering and Information Technology
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In this paper, we elaborate on the concept of cloud computing and virtualization. ...
Unfortunately, datacenters consume a lot of energy, which currently stands at 3% of global electrical energy consumption. ...
Form the term, we can identify that such a cloud is based on the IaaS service model and public deployment model. ...
doi:10.32628/cseit1953139
fatcat:6jar3cefuzfq7gkometgbfotnm
Review on Various Energy-Aware and SLA Violation Reduction Techniques
2015
International Journal of Computer Applications
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In Cloud environment, to reduce SLA violation there are numerous techniques available but cloud provider select those which are best suited for application requirement and user demand. ...
This paper presents detailed review on the various SLA violation reduction techniques. Keywords Cloud service provider (CSP), SLA violation. ...
utilization of host
Reduces Energy consumption
and SLA violation
SLA-based Virtual Machine
Management for Heterogeneous
Workloadsin a Cloud Datacenter
Admission control and SLA
based scheduling ...
doi:10.5120/20594-3070
fatcat:jdugvfun5nfcbe6uyica4dqevi
A Survey on Energy Aware Resource Allocation for Cloud Computing
2016
International Journal of Engineering Research and
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Energy is been a critical issue in cloud computing. In this paper a survey is done on energy aware resource allocation in cloud. ...
As resource allocation in cloud is a NP-Hard problem; so several exact solutions and approximate solutions are proposed. ...
In [22] , Sarji et al. propose two different models for the energy consumption of a cloud server when switching it to operational mode from a sleep mode or from an off state. ...
doi:10.17577/ijertv5is020639
fatcat:cs27vtwwnncqhepegpqoxoauuu
Resource Allocation in Cloud Computing for Energy Efficiency
2019
International Journal of Engineering and Advanced Technology
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Cloud computing is a paradigm in which we have virtualized computer systems that deliver services, processing, storage, network, and other fundamental computing resources. ...
There is a lack of research that addresses challenges of managing multiple resources with objective of allocating enough resources for each work load to optimizing power consumption. ...
CLOUD COMPUTING TYPES Three cloud computing services are split by suppliers based on capacity and model [1] . A. Infrastructure as a service (IAAS) B. Platform as a service and (PAAS) C. ...
doi:10.35940/ijeat.f8356.088619
fatcat:lo2up2xwqzdsfixl53esvt54xi
Energy-Aware Cloud Computing Simulators: A State of the Art Survey
2018
International Journal of Applied Mathematics Electronics and Computers
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The high energy consumption causes a high operating cost and involves a large amount of carbon dioxide emissions that are harmful to the atmosphere. ...
For comparison, several characteristics, functions, and models are employed for most famous energy aware Cloud simulators such as Green Cloud, CloudSim, iCanCloud, CloudAnalyst, NetworkCloudSim, and CloudReports ...
SLAs are met at a minimal cost for consumers in CloudAnalyst. A time-shared policy is used to resource scheduling for virtual machines in CloudAnalyst. ...
doi:10.18100/ijamec.2018241182
fatcat:vl5jsvoopnca3plt2wp2dtjcna
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