The Need for Traffic Based Virtualisation Management for Sustainable Clouds

2015 ◽  
Vol 5 (4) ◽  
pp. 8-19
Author(s):  
Kiran Voderhobli
Keyword(s):  
Cloud Computing ◽  
Energy Efficient ◽  
Traffic Management ◽  
Local Level ◽  
Work Load ◽  
Local Network ◽  
Energy Crisis ◽  
Power Efficient ◽  
Site Network ◽  
Data Centres

The subscription based model of cloud computing has allowed for users to migrate their processes to off-site network facilities. One of the motivations for deployment of cloud based services is to promote sustainability by reducing green-house emissions at a local level. Although some might argue that this model saves a lot of power at local network facilities, the problem of energy crisis caused by ICT is never-ending. Today, data-centres are bee-hives of exascale computing and high network dependant processing. Work-load on the cloud directly contributes to energy consumption to an extent that currently IT clouds are some of the worst contributors to CO2 emissions. This paper discusses why traffic-management on the cloud is vital to make it more power efficient and how it can be achieved by gathering live network statistics. The discussion fits with the context of “emerging clouds” as thought needs to be given on how to apply energy efficient schemes at various points including at the communication level.

Towards Energy Efficiency for Cloud Computing Services

2013 ◽  
pp. 306-328
Author(s):  
Daniele Tafani ◽  
Burak Kantarci ◽  
Hussein T. Mouftah ◽  
Conor McArdle ◽  
Liam P. Barry
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Green Technologies ◽  
Core Networks ◽  
Data Centre ◽  
Computing Services ◽  
Efficient Data ◽  
Cloud Computing Services ◽  
Data Centres

Over the past decade, the increasing complexity of data-intensive cloud computing services along with the exponential growth of their demands in terms of computational resources and communication bandwidth presented significant challenges to be addressed by the scientific research community. Relevant concerns have specifically arisen for the massive amount of energy necessary for operating, connecting, and maintaining the thousands of data centres supporting cloud computing services, as well as for their drastic impact on the environment in terms of increased carbon footprint. This chapter provides a survey of the most popular energy-conservation and “green” technologies that can be applied at data centre and network level in order to overcome these issues. After introducing the reader to the general problem of energy consumption in cloud computing services, the authors illustrate the state-of-the-art strategies for the development of energy-efficient data centres; specifically, they discuss principles and best practices for energy-efficient data centre design focusing on hardware, power supply specifications, and cooling infrastructure. The authors further consider the problem from the perspective of the network energy consumption, analysing several approaches achieving power efficiency for access, and core networks. Additionally, they provide an insight to recent development in energy-efficient virtual machine placement and dynamic load balancing. Finally, the authors conclude the chapter by providing the reader with a novel research work for the establishment of energy-efficient lightpaths in computational grids.

scholarly journals On the Design of Efficient Hierarchic Architecture for Software Defined Vehicular Networks

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1400
Author(s):  
Muhammad Adnan ◽  
Jawaid Iqbal ◽  
Abdul Waheed ◽  
Noor Ul Amin ◽  
Mahdi Zareei ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Scheduling Algorithm ◽  
Main Research ◽  
First Come First Serve ◽  
Computing Framework ◽  
Simulation Results

Modern vehicles are equipped with various sensors, onboard units, and devices such as Application Unit (AU) that support routing and communication. In VANETs, traffic management and Quality of Service (QoS) are the main research dimensions to be considered while designing VANETs architectures. To cope with the issues of QoS faced by the VANETs, we design an efficient SDN-based architecture where we focus on the QoS of VANETs. In this paper, QoS is achieved by a priority-based scheduling algorithm in which we prioritize traffic flow messages in the safety queue and non-safety queue. In the safety queue, the messages are prioritized based on deadline and size using the New Deadline and Size of data method (NDS) with constrained location and deadline. In contrast, the non-safety queue is prioritized based on First Come First Serve (FCFS) method. For the simulation of our proposed scheduling algorithm, we use a well-known cloud computing framework CloudSim toolkit. The simulation results of safety messages show better performance than non-safety messages in terms of execution time.

High performance self-heated membrane distillation system for energy efficient desalination process

2021 ◽  
Author(s):  
Wei-Song Hung ◽  
Subrahmanya T M ◽  
Po Ting Lin ◽  
Yu-Hsuan Chiao ◽  
Januar Widakdo ◽  
...  
Keyword(s):  
Environmental Pollution ◽  
Energy Efficient ◽  
High Performance ◽  
Membrane Distillation ◽  
Energy Crisis ◽  
Safe Water ◽  
Global Challenges ◽  
Promising Strategy ◽  
Distillation System

Membrane distillation (MD) based desalination process is thought to be a promising strategy to address global challenges such as safe water-energy crisis and environmental pollution. Here, we demonstrate a novel...

scholarly journals A Load Balancing Algorithm for the Data Centres to Optimize Cloud Computing Applications

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Dalia Abdulkareem Shafiq ◽  
NZ Jhanjhi ◽  
Azween Abdullah ◽  
Mohammed A AlZain
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Load Balancing Algorithm ◽  
Data Centres

scholarly journals An energy-efficient failure detector for vehicular cloud computing

PLoS ONE ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. e0191577 ◽  
Author(s):  
Jiaxi Liu ◽  
Zhibo Wu ◽  
Jian Dong ◽  
Jin Wu ◽  
Dongxin Wen
Keyword(s):  
Cloud Computing ◽  
Energy Efficient ◽  
Failure Detector ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud

Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment

IEEE Network ◽  
2015 ◽  
Vol 29 (2) ◽  
pp. 56-61 ◽  
Author(s):  
Mehiar Dabbagh ◽  
Bechir Hamdaoui ◽  
Mohsen Guizani ◽  
Ammar Rayes
Keyword(s):  
Cloud Computing ◽  
Energy Efficient
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