IoE based private multi-data center cloud architecture framework. (May 2022)
- Record Type:
- Journal Article
- Title:
- IoE based private multi-data center cloud architecture framework. (May 2022)
- Main Title:
- IoE based private multi-data center cloud architecture framework
- Authors:
- Dhaya, R
Kanthavel, R - Abstract:
- Highlights: An ensured cloud storage service over client's virtual machine processing services is guaranteed. Virtual machines and subsystems are even more powerful and useful by the proposals. Mitigation of private cloud computing systems resources is done. Improvement of Aggregated Migration Energy Consumption is obvious. Abstract: This paper proposes an Internet of Everything (IoE) based private multi-data center cloud architecture framework to utilize the merits of multi-data centers. The inclusive security structure for the entire cloud data center presented here is to minimize the potential vulnerabilities from the adoption of the cloud. This work would leverage the novelty in allocating the distribution of data smartly and in a reliable manner to have the network for private cloud data centers. On the other hand, the architecture must have the ability to make out an enterprise's data and association applications in the cloud using the facility of contributing the opportunity. To overcome these shortcomings, a "Facility Overhead-aware multi-objective Dynamic Private Cloud Data Center Algorithm" (FOMDPC) is proposed with the merits of migration payload awareness, dynamic load balancing methodology, and facility infrastructure costs. The factors to be considered to determine the efficiency are time complexity and memory overhead. In addition, aggregated migration energy consumption and aggregated SLA violations are also taken into account. Graphical abstract: Image,Highlights: An ensured cloud storage service over client's virtual machine processing services is guaranteed. Virtual machines and subsystems are even more powerful and useful by the proposals. Mitigation of private cloud computing systems resources is done. Improvement of Aggregated Migration Energy Consumption is obvious. Abstract: This paper proposes an Internet of Everything (IoE) based private multi-data center cloud architecture framework to utilize the merits of multi-data centers. The inclusive security structure for the entire cloud data center presented here is to minimize the potential vulnerabilities from the adoption of the cloud. This work would leverage the novelty in allocating the distribution of data smartly and in a reliable manner to have the network for private cloud data centers. On the other hand, the architecture must have the ability to make out an enterprise's data and association applications in the cloud using the facility of contributing the opportunity. To overcome these shortcomings, a "Facility Overhead-aware multi-objective Dynamic Private Cloud Data Center Algorithm" (FOMDPC) is proposed with the merits of migration payload awareness, dynamic load balancing methodology, and facility infrastructure costs. The factors to be considered to determine the efficiency are time complexity and memory overhead. In addition, aggregated migration energy consumption and aggregated SLA violations are also taken into account. Graphical abstract: Image, graphical abstract … (more)
- Is Part Of:
- Computers & electrical engineering. Volume 100(2022)
- Journal:
- Computers & electrical engineering
- Issue:
- Volume 100(2022)
- Issue Display:
- Volume 100, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 100
- Issue:
- 2022
- Issue Sort Value:
- 2022-0100-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05
- Subjects:
- Multi-data centre management -- Private cloud -- Migration -- Security -- Automation -- Facility overhead
Computer engineering -- Periodicals
Electrical engineering -- Periodicals
Electrical engineering -- Data processing -- Periodicals
Ordinateurs -- Conception et construction -- Périodiques
Électrotechnique -- Périodiques
Électrotechnique -- Informatique -- Périodiques
Computer engineering
Electrical engineering
Electrical engineering -- Data processing
Periodicals
Electronic journals
621.302854 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457906/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compeleceng.2022.107933 ↗
- Languages:
- English
- ISSNs:
- 0045-7906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.680000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21753.xml