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  5. Towards middleware security framework for next generation data centers connectivity
 
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Towards middleware security framework for next generation data centers connectivity

Author(s)
Talpur, Samar Raza  
Abdalla, Sameh  
Kechadi, Tahar  
Uri
http://hdl.handle.net/10197/7417
Date Issued
2015-07-30
Date Available
2016-01-26T14:52:39Z
Abstract
Data Center as a Service (DCaaS) facilitates to clients as alternate outsourced physical data center, the expectations of business community to fully automate these data centers to run smoothly. Geographically distributed data centers and its connectivity has major role in next generation data centers. In order to deploy the reliable connections between distributed data centers the SDN based security and logical firewalls are attractiveand enviable. We present the middleware security framework for software defined data centers inter-connectivity, the proposed security framework will be based on some learning processes,which will reduce the complexity and manage very large number of secure connections in real-world data centers. In this paper we will focus on two main objectives; (1) proposing simple and yet scalable techniques for security and analysis, (2) Implementing and evaluating these techniques on real-world data centers.
Type of Material
Conference Publication
Publisher
IEEE
Start Page
1277
End Page
1283
Copyright (Published Version)
2015 IEEE
Subjects

Machine learning

Statistics

DCI (Data Center Inte...

DCaaS

SDDC

SDN

Virtual networking

Distributed firewall

OpenFlow

DOI
10.1109/SAI.2015.7237308
Language
English
Status of Item
Peer reviewed
Conference Details
2015 Science and Information Conference (SAI), London, United Kingdom, 28 - 30 July 2015
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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insight_publication.pdf

Size

840.9 KB

Format

Adobe PDF

Checksum (MD5)

f76caf3d289a25336659724767128bb6

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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