Scheduling Virtual Machines across Data Centres in accordance to availability of Renewable Sources of Energy

2016 ◽  
Author(s):  
G Krishna Vasudeva Rao ◽  
Keyword(s):  
Virtual Machines ◽  
Renewable Sources ◽  
Renewable Sources Of Energy ◽  
Data Centres

IDENTIFICATION OF STRATEGIC PRIORITIES OF INVESTMENT INTO DEVELOPMENT OF ALTERNATIVE ENERGETICS

2017 ◽  
pp. 52-59
Author(s):  
Svitlana Sivitska
Keyword(s):  
Social Work ◽  
International Cooperation ◽  
Alternative Energy ◽  
Associate Professor ◽  
Integrated Analysis ◽  
Energy Investment ◽  
Renewable Sources ◽  
Renewable Sources Of Energy ◽  
National Technical ◽  
The Matrix

UDC 338:336.02:621.311 Svitlana Sivitska, Ph.D., Associate Professor at Finance and Banking Department, Vice-Rector for Scientific, Educational, Social Work and International Cooperation. Poltava National Technical Yuri Kondratyuk University. Identification of strategic priorities of investment into development of alternative energetics. There are the stages of the methodology for choosing the strategic priorities of investing in alternative energy explored in the article. The potential of alternative energy analyzed. The strategic priorities of alternative energy have been explored. An integrated analysis of the potential of alternative energy is carried out on the territorial basis done. The matrix of choice of strategic priorities of investing in alternative energy determined. Keywords: energetic security, alternative energetics, renewable sources of energy, investment, strategic priorities, matrix.

Application of Renewable Energy in the Construction

2012 ◽  
Vol 193-194 ◽  
pp. 111-114 ◽  
Author(s):  
Yue Ren ◽  
Zhi Qi
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Energy Conservation ◽  
Geothermal Energy ◽  
Renewable Sources ◽  
Renewable Sources Of Energy ◽  
Integrated Project

We discuss the form of application of renewable sources of energy including solar energy and geothermal energy in the environment of construction, and an integrated project on renewable sources of energy is taken as a case study. We also analyze the feasible plans that utilize multiple renewable sources of energy in the construction. The significance of the energy conservation and reduction is presented as well.

Secure Cloud Auditability for Virtual Machines by Adaptive Characterization Using Machine Learning Methods

2021 ◽  
Vol 4 (3) ◽  
pp. 59-75
Author(s):  
Shesagiri Taminana ◽  
◽  
Lalitha Bhaskari ◽  
Arwa Mashat ◽  
Dragan Pamučar ◽  
...  
Keyword(s):  
Time Complexity ◽  
Virtual Machines ◽  
Application Development ◽  
Predictive Regression ◽  
Data Centre ◽  
Machine Learning Methods ◽  
Highly Sensitive ◽  
Increasing Demand ◽  
Application Developers ◽  
Data Centres

With the Present days increasing demand for the higher performance with the application developers have started considering cloud computing and cloud-based data centres as one of the prime options for hosting the application. Number of parallel research outcomes have for making a data centre secure, the data centre infrastructure must go through the auditing process. During the auditing process, auditors can access VMs, applications and data deployed on the virtual machines. The downside of the data in the VMs can be highly sensitive and during the process of audits, it is highly complex to permits based on the requests and can increase the total time taken to complete the tasks. Henceforth, the demand for the selective and adaptive auditing is the need of the current research. However, these outcomes are criticised for higher time complexity and less accuracy. Thus, this work proposes a predictive method for analysing the characteristics of the VM applications and the characteristics from the auditors and finally granting the access to the virtual machine by building a predictive regression model. The proposed algorithm demonstrates 50% of less time complexity to the other parallel research for making the cloud-based application development industry a safer and faster place.

Vertical Integration Between Providers With Possible Cloud Migration

2018 ◽  
pp. 1164-1173 ◽  
Author(s):  
Aleksandra Kostic-Ljubisavljevic ◽  
Branka Mikavica
Keyword(s):  
Large Scale ◽  
Virtual Machines ◽  
Wholesale Price ◽  
Rejection Rate ◽  
Large Scale Data ◽  
Cloud Migration ◽  
Computational Resources ◽  
Data Centres ◽  
Charging Strategy

All vertically integrated participants in content provisioning process are influenced by bandwidth requirements. Provisioning of self-owned resources that satisfy peak bandwidth demand leads to network underutilization and it is cost ineffective. Under-provisioning leads to rejection of customers' requests. Vertically integrated providers need to consider cloud migration in order to minimize costs and improve Quality of Service and Quality of Experience of their customers. Cloud providers maintain large-scale data centres to offer storage and computational resources in the form of Virtual Machines instances. They offer different pricing plans: reservation, on-demand and spot pricing. For obtaining optimal integration charging strategy, Revenue Sharing, Cost Sharing, Wholesale Price is applied frequently. The vertically integrated content provider's incentives for cloud migration can induce significant complexity in integration contracts, and consequently improvements in costs and requests' rejection rate.

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