A Bi-Criteria Algorithm for Low-Carbon and QoS-Aware Routing in Cloud Computing Infrastructures

2015 ◽  
Author(s):  
Nassim Dehouche
Keyword(s):  
Cloud Computing ◽  
Low Carbon

scholarly journals The Tapio Decoupling Principle and Key Strategies for Changing Factors of Chinese Urban Carbon Footprint Based on Cloud Computing

2021 ◽  
Vol 18 (4) ◽  
pp. 2101
Author(s):  
Min Shang ◽  
Ji Luo
Keyword(s):  
Economic Growth ◽  
Cloud Computing ◽  
Carbon Footprint ◽  
Driving Factors ◽  
City Size ◽  
Series Data ◽  
Marginal Effect ◽  
Low Carbon ◽  
The Impact ◽  
Xi’An City

The expansion of Xi’an City has caused the consumption of energy and land resources, leading to serious environmental pollution problems. For this purpose, this study was carried out to measure the carbon carrying capacity, net carbon footprint and net carbon footprint pressure index of Xi’an City, and to characterize the carbon sequestration capacity of Xi’an ecosystem, thereby laying a foundation for developing comprehensive and reasonable low-carbon development measures. This study expects to provide a reference for China to develop a low-carbon economy through Tapio decoupling principle. The decoupling relationship between CO2 and driving factors was explored through Tapio decoupling model. The time-series data was used to calculate the carbon footprint. The auto-encoder in deep learning technology was combined with the parallel algorithm in cloud computing. A general multilayer perceptron neural network realized by a parallel BP learning algorithm was proposed based on Map-Reduce on a cloud computing cluster. A partial least squares (PLS) regression model was constructed to analyze driving factors. The results show that in terms of city size, the variable importance in projection (VIP) output of the urbanization rate has a strong inhibitory effect on carbon footprint growth, and the VIP value of permanent population ranks the last; in terms of economic development, the impact of fixed asset investment and added value of the secondary industry on carbon footprint ranks third and fourth. As a result, the marginal effect of carbon footprint is greater than that of economic growth after economic growth reaches a certain stage, revealing that the driving forces and mechanisms can promote the growth of urban space.

Cloud computing: a collaborative green platform for the knowledge society

VINE ◽  
2014 ◽  
Vol 44 (3) ◽  
pp. 357-374 ◽  
Author(s):  
Mona A. Mohamed ◽  
Sharma Pillutla
Keyword(s):  
Cloud Computing ◽  
Knowledge Management ◽  
Information Overload ◽  
Knowledge Society ◽  
Economic Benefits ◽  
Chief Information Officers ◽  
Low Carbon ◽  
Content Type ◽  
Low Carbon Economy ◽  
Critical Issues

Purpose – The main aim of this paper is to investigate the potential of Cloud Computing as a multilayer integrative collaboration space for knowledge acquisition, nurturing and sharing. The paper will pinpoint benefits and challenges of Cloud Computing in satisfying the new techno-sociological requirements of the knowledge society through the provision of information technology (IT) green services. Furthermore, the article calls for the engagement of researchers to generate additional discussion and dialog in this emerging and challenging area. Design/methodology/approach – The paper applies a conceptual analysis to explore the utilization of the Cloud ecosystem as a new platform for knowledge management (KM) technologies characterized by environmental and economic benefits. Findings – This paper reveals the emergence of a new layer in the Cloud stack known as Knowledge Management-as-a-Service. The article discusses how KM has the opportunity to evolve in synergy with Cloud Computing technologies using the modified Metcalfe’s law, while simultaneously pursuing other benefits. This research reveals that if Cloud Computing is successfully deployed, it will contribute to the efficient use of the under-utilized computing resources and enable a low carbon economy. However, challenges such as security, information overload and legal issues must be addressed by researchers before Cloud Computing becomes the de facto KM platform. Originality/value – While the technical, legal and environmental complications of Cloud Computing have received the attention warranted, the KM concepts and implementation facets within the realm of the knowledge society have not yet received adequate consideration. This paper provides enterprise KM architects, planners, chief information officers (CIOs) and chief knowledge officers (CKOs) with a comprehensive review of the critical issues, many of which are often overlooked or treated in a fragmented manner within the Cloud environment.

Design and Implementation of E-Government Platform Based on Web GIS and Cloud Computing

2013 ◽  
Vol 756-759 ◽  
pp. 1556-1560
Author(s):  
Yan Qing Feng ◽  
Wen Feng Zheng ◽  
Pan Liu ◽  
Ya Nan Jia
Keyword(s):  
Cloud Computing ◽  
Capital Investment ◽  
Spatial Information ◽  
Cost Effective ◽  
Web Gis ◽  
Utilization Rate ◽  
Low Carbon ◽  
Government Function ◽  
Low Carbon Economy ◽  
Comprehensive Framework

E-government presents a tremendous opportunity to provide higher quality, and cost-effective government services as well as creating a better relationship between citizens and government. The use of Web GIS makes the sharing and applying traditional GIS being possible. Web GIS provides integrated geo-spatial information and services to users and decision support for the government's macro decision-making. However, the current condition of huge initial capital investment in ICT equipment and IT labor does not change. As Cloud Computing enables sharing of resources and costs across a large pool of users while providing on-demand services with dynamic scalability. E-government with cloud computing raises the utilization rate of resource and reduces the budget. In addition, if e-government system is moved to cloud computing environment, cloud computing can construct the system into a service platform which takes service as its core, realizing the transition of government function and promoting the upgrading of local industry and developing low carbon economy. For this reason this research aims to develop a comprehensive framework of support e-government platform, with a specific focus on the e-government system based on Web GIS and private cloud computing based on OpenStack.

scholarly journals Big data cloud computing framework for low carbon supplier selection in the beef supply chain

2018 ◽  
Vol 202 ◽  
pp. 139-149 ◽  
Author(s):  
Akshit Singh ◽  
Sushma Kumari ◽  
Hanif Malekpoor ◽  
Nishikant Mishra
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Supply Chain ◽  
Supplier Selection ◽  
Low Carbon ◽  
Computing Framework ◽  
Beef Supply Chain

Research on Technology of Energy Consumption Optimization in Cloud Computing Platform

2015 ◽  
Vol 713-715 ◽  
pp. 2467-2470
Author(s):  
Liang Hao ◽  
Gang Cui ◽  
Ming Cheng Qu ◽  
Wen De Ke
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Global Climate ◽  
Economic Benefits ◽  
Optimization Techniques ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Computing Platform ◽  
Energy Consumption Optimization ◽  
Cloud Computing Platform

With the shortage of energy and global climate warming, as well as the low-carbon economy and green computing coming, the energy consumption of cloud computing has become a critical issue, and even the economic benefits of cloud computing has been widely discussion. In view of the phenomenon of energy is wasted seriously in cloud computing, the energy optimization techniques in cloud computing platform have been studied and summarized in this paper. The concept, characteristics and development of cloud computing are introduced firstly. And then the existing energy consumption optimization approaches of cloud computing are studied deeply. The opening and closing techniques, dynamic voltage adjustment technology, virtual energy-saving technology and resource scheduling optimization technology are studied deeply. Finally, the contents are summarized and the future is looked forward.

On Cloud Computing and University Computing Resource Integration in Low-Carbon Education

2013 ◽  
Vol 411-414 ◽  
pp. 2805-2808
Author(s):  
Du Juan Xu ◽  
Shao Wen Xu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Human Society ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Information Construction ◽  
The Rich ◽  
The University ◽  
Economic Development Model ◽  
The Relationship

This Low-carbon economy has become an important human society and economic development model in 21st century. With in-depth development of the theory and technology of cloud computing, cloud computing applications also extend to various industries. Higher education resources is a very large computing resources, it contains the rich calculation. Combination of cloud computing and university computing resources to take full advantage of cloud computing safe, reliable and easy to expand the data storage and computing capacity, will greatly enhance the efficiency of the University Information construction. Starting from the basic principles of cloud computing, cloud computing features and model, analyzed of the relationship between the education of low-carbon and cloud computing, combined with the university computing resources and cloud computing integration process, put forward the corresponding solution strategy.

The Research on the Cloud Computing Assisted Instruction under the Low Carbon Circumstance

2014 ◽  
Vol 926-930 ◽  
pp. 4677-4680
Author(s):  
Ting Ting Wang
Keyword(s):  
Cloud Computing ◽  
Internet Technology ◽  
Low Carbon ◽  
English Teaching ◽  
Low Carbon Economy ◽  
New Ideas ◽  
Definition Of ◽  
Assisted Instruction ◽  
Further Development ◽  
Carbon Economy

With the further development of Internet technology and the popularity of Low Carbon Economy , cloud computing applications and services have influenced people's daily life greatly including study. Cloud computing brings new ideas to English teachers on constructing English teaching auxiliary site. From the definition of cloud computing, this paper discusses the ways and give some suggestion on constructing English teaching auxiliary website.

S.E.M.-T.E.M. Image Comparison

1971 ◽  
Vol 29 ◽  
pp. 132-133
Author(s):  
G. M. Greene ◽  
J. W. Sprys
Keyword(s):  
Electron Microscope ◽  
Low Carbon Steel ◽  
Secondary Emission ◽  
Low Carbon ◽  
Preparation Time ◽  
Actual Surface ◽  
Fine Detail ◽  
Transmission Electron ◽  
Transmission Study ◽  
Large Sections

The present study demonstrates that fracture surfaces appear strikingly different when observed in the transmission electron microscope by replication and in the scanning electron microscope by backscattering and secondary emission. It is important to know what form these differences take because of the limitations of each instrument. Replication is useful for study of surfaces too large for insertion into the S.E.M. and for resolution of fine detail at high magnification with the T.E.M. Scanning microscopy reduces sample preparation time and allows large sections of the actual surface to be viewed.In the present investigation various modes of the S.E.M. along with the transmission mode in the T.E.M. were used to study one area of a fatigue surface of a low carbon steel. Following transmission study of a platinum carbon replica in the T.E.M. and S.E.M. the replica was coated with a gold layer approximately 200A° in thickness to improve electron emission.

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