scholarly journals Data Center Network Architecture Design for Cloud Computing

CONVERTER ◽  
2021 ◽  
pp. 23-29
Author(s):  
Yu Qing
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Network Architecture ◽  
Data Center Network ◽  
Cloud Data Center ◽  
Seamless Integration ◽  
Cloud Data ◽  
Layer 2 ◽  
Mpls Vpn ◽  
Second Tier

In this paper, through the demand analysis of cloud computing data center network, the typical layer 2 Technology (virtual switch technology and tunnel technology) and cloud data center cross site layer 2 interconnection technology are analyzed and discussed in detail. This paper proposes MPLS VPN technology as an important technology of cloud computing data center network second tier expansion, and discusses VPLS network architecture and working principle in detail. This paper proposes the network architecture and implementation scheme of cloud data center based on MPLS VPN, and completes the network related tests. Finally, the characteristics of the system are summarized and analyzed. In this study, MPLS VPN technology is integrated into the existing cloud computing architecture to achieve the seamless integration of cloud computing resources and lay a theoretical foundation for the connection between virtual private cloud and public cloud. The experimental results show that according to the requirements of cloud computing data center, this research realizes the dual activity of network between data centers.

Data center network architecture in cloud computing: review, taxonomy, and open research issues

2014 ◽  
Vol 15 (9) ◽  
pp. 776-793 ◽  
Author(s):  
Han Qi ◽  
Muhammad Shiraz ◽  
Jie-yao Liu ◽  
Abdullah Gani ◽  
Zulkanain Abdul Rahman ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Network Architecture ◽  
Data Center Network ◽  
Research Issues ◽  
Open Research

A SDN-based wired/wireless hybrid network architecture of cloud data center

2021 ◽  
Author(s):  
Tao Jing ◽  
Liu Shidong ◽  
Liu Chuan ◽  
Bu Xiande ◽  
Zhang Gang
Keyword(s):  
Data Center ◽  
Network Architecture ◽  
Hybrid Network ◽  
Cloud Data Center ◽  
Cloud Data

Energy-Efficiency in Cloud Data Centers

2013 ◽  
pp. 241-263
Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Data Center ◽  
Energy Efficient ◽  
Large Scale ◽  
Data Centers ◽  
High Energy ◽  
It Services ◽  
Data Center Network ◽  
Cloud Data

Cloud computing aims to migrate IT services to distant data centers in order to reduce the dependency of the services on the limited local resources. Cloud computing provides access to distant computing resources via Web services while the end user is not aware of how the IT infrastructure is managed. Besides the novelties and advantages of cloud computing, deployment of a large number of servers and data centers introduces the challenge of high energy consumption. Additionally, transportation of IT services over the Internet backbone accumulates the energy consumption problem of the backbone infrastructure. In this chapter, the authors cover energy-efficient cloud computing studies in the data center involving various aspects such as: reduction of processing, storage, and data center network-related power consumption. They first provide a brief overview of the existing approaches on cool data centers that can be mainly grouped as studies on virtualization techniques, energy-efficient data center network design schemes, and studies that monitor the data center thermal activity by Wireless Sensor Networks (WSNs). The authors also present solutions that aim to reduce energy consumption in data centers by considering the communications aspects over the backbone of large-scale cloud systems.

A Comprehensive Study of Security in Cloud Computing

2017 ◽  
pp. 386-412
Author(s):  
Prasanta K. Manohari ◽  
Niranjan K. Ray
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Emerging Technology ◽  
Security Risk ◽  
Computing Environment ◽  
Cloud Data Center ◽  
Cloud Computing Environment ◽  
Cloud Computing Security ◽  
Cloud Data ◽  
Security Issues

Cloud computing is one of the emerging technology in the recent times which has varieties of applications at different fields. It is an Internet dependent technology and it store and maintain the data in a cloud data center. Cloud center usually supports more numbers of user, applications and data. In the same time, it also suffered with numerous challenges. Security is a key requirement for cloud data center. Different security mechanisms are proposed for cloud computing environment. In this chapter, we address the background of cloud computing, security risk, requirements, issues, and some of the security techniques are discussed. We discuss different security issues and focus on some existing solutions.

scholarly journals A Mobility-Oriented Scheme for Virtual Machine Migration in Cloud Data Center Network

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 8327-8337 ◽  
Author(s):  
Bo Hu ◽  
Shanzhi Chen ◽  
Jianye Chen ◽  
Zhangfeng Hu
Keyword(s):  
Virtual Machine ◽  
Data Center ◽  
Data Center Network ◽  
Virtual Machine Migration ◽  
Cloud Data Center ◽  
Cloud Data

scholarly journals Redundancy-Guaranteed and Receiving-Constrained Disaster Backup in Cloud Data Center Network

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 47666-47681 ◽  
Author(s):  
Xiaole Li ◽  
Hua Wang ◽  
Shanwen Yi ◽  
Xibo Yao ◽  
Fangjin Zhu ◽  
...  
Keyword(s):  
Data Center ◽  
Data Center Network ◽  
Cloud Data Center ◽  
Cloud Data

scholarly journals Role of Different Integer Virtual Machine in Cloud Data Center

2019 ◽  
Vol 3 (4) ◽  
Author(s):  
Arif Ullah ◽  
Nazri Mohd Nawi ◽  
Hairulnizam Bin Mahdin ◽  
Samad Baseer ◽  
Mustafa Mat Deris
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Data Center ◽  
Network Stability ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Energy Processing ◽  
Data Centres ◽  
Stability Energy

In modern data centres of cloud computing contains virtualization system. In order to improve network stability, energy efficiency, and makespan proper virtualization need. The virtual machine is one of the examples of virtualizations. Cloud computing data centres consist of millions of virtual machine to manage load balancing. In this study check the different number of virtual machine role in data centres, for that purpose, we established a network with the help of cloudsim and compare different data centres at each zones taking a different number of the virtual machine with different paramater and network banwith.After the simulation the result shows that increasning in the number of VM can affect the netwok accuracy in term of energy ,processing time ,coast and network stabality . 

scholarly journals PEMILIHAN DAN MIGRASI VM MENGGUNAKAN MCDM UNTUK PENINGKATAN KINERJA LAYANAN PADA CLOUD COMPUTING

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Abdullah Fadil ◽  
Waskitho Wibisono
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Virtual Machine ◽  
Data Center ◽  
Response Times ◽  
Multi Criteria Decision Making ◽  
Live Migration ◽  
Vm Placement ◽  
Cloud Data Center ◽  
Cloud Data

Komputasi awan atau cloud computing merupakan lingkungan yang heterogen dan terdistribusi, tersusun atas gugusan jaringan server dengan berbagai kapasitas sumber daya komputasi yang berbeda-beda guna menopang model layanan yang ada di atasnya. Virtual machine (VM) dijadikan sebagai representasi dari ketersediaan sumber daya komputasi dinamis yang dapat dialokasikan dan direalokasikan sesuai dengan permintaan. Mekanisme live migration VM di antara server fisik yang terdapat di dalam data center cloud digunakan untuk mencapai konsolidasi dan memaksimalkan utilisasi VM. Pada prosedur konsoidasi vm, pemilihan dan penempatan VM sering kali menggunakan kriteria tunggal dan statis. Dalam penelitian ini diusulkan pemilihan dan penempatan VM menggunakan multi-criteria decision making (MCDM) pada prosedur konsolidasi VM dinamis di lingkungan cloud data center guna meningkatkan layanan cloud computing. Pendekatan praktis digunakan dalam mengembangkan lingkungan cloud computing berbasis OpenStack Cloud dengan mengintegrasikan VM selection dan VM Placement pada prosedur konsolidasi VM menggunakan OpenStack-Neat. Hasil penelitian menunjukkan bahwa metode pemilihan dan penempatan VM melalui live migration mampu menggantikan kerugian yang disebabkan oleh down-times sebesar 11,994 detik dari waktu responnya. Peningkatan response times terjadi sebesar 6 ms ketika terjadi proses live migration VM dari host asal ke host tujuan. Response times rata-rata setiap vm yang tersebar pada compute node setelah terjadi proses live migration sebesar 67 ms yang menunjukkan keseimbangan beban pada sistem cloud computing.

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