scholarly journals A Comprehensive Research on Integration of Cloud with Software-Defined Network

Cloud computing, as one of the emerging technologies, is required to meet increasing and on-demand availability of all resources such as computing power, storage and networking. It provides the pool of resources and offers the mechanism to run various applications on Cloud Data Centers (CDCs). Cloud data centers are usually distributed across multiple sites. With the provision of distributed data centers, the need for their management and maintenance arises. Such circumstances lead networking capabilities to being implemented on larger scale. Software defined network (SDN) is the programming paradigm along with the NFV orchestration and incorporates the modular and dynamic network support for the cloud data centers provided and established by the cloud over the geographically separated places. In this paper, comprehensive study has been mainly conducted to highlight the need for the integration of both emerging and versatile technologies. We also cover challenges, issues and benefits which have to be considered in underlying architecture, models and devices.

2018 ◽  
Vol 56 (2) ◽  
pp. 118-126 ◽  
Author(s):  
Rajat Chaudhary ◽  
Gagangeet Singh Aujla ◽  
Neeraj Kumar ◽  
Joel J.P.C. Rodrigues

2017 ◽  
Vol 26 (1) ◽  
pp. 113-128
Author(s):  
Gamal Eldin I. Selim ◽  
Mohamed A. El-Rashidy ◽  
Nawal A. El-Fishawy

2021 ◽  
Vol 11 (9) ◽  
pp. 3870
Author(s):  
Jeongsu Kim ◽  
Kyungwoon Lee ◽  
Gyeongsik Yang ◽  
Kwanhoon Lee ◽  
Jaemin Im ◽  
...  

This paper investigates the performance interference of blockchain services that run on cloud data centers. As the data centers offer shared computing resources to multiple services, the blockchain services can experience performance interference due to the co-located services. We explore the impact of the interference on Fabric performance and develop a new technique to offer performance isolation for Hyperledger Fabric, the most popular blockchain platform. First, we analyze the characteristics of the different components in Hyperledger Fabric and show that Fabric components have different impacts on the performance of Fabric. Then, we present QiOi, component-level performance isolation technique for Hyperledger Fabric. The key idea of QiOi is to dynamically control the CPU scheduling of Fabric components to cope with the performance interference. We implement QiOi as a user-level daemon and evaluate how QiOi mitigates the performance interference of Fabric. The evaluation results demonstrate that QiOi mitigates performance degradation of Fabric by 22% and improves Fabric latency by 2.5 times without sacrificing the performance of co-located services. In addition, we show that QiOi can support different ordering services and chaincodes with negligible overhead to Fabric performance.


2019 ◽  
Vol 18 (1) ◽  
pp. 149-168 ◽  
Author(s):  
Eduard Zharikov ◽  
Sergii Telenyk ◽  
Petro Bidyuk

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