Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Resource-Aware Network Topology Management Framework

Version 1 : Received: 12 May 2019 / Approved: 14 May 2019 / Online: 14 May 2019 (13:39:44 CEST)
Version 2 : Received: 26 February 2020 / Approved: 26 February 2020 / Online: 26 February 2020 (15:34:25 CET)

How to cite: Abbasi, A.A.; Shamshirband, S.; Al-qaness, M.A.A.; Abbasi, A.; AL-Jallad, N.T.; Mosavi, A. Resource-Aware Network Topology Management Framework. Preprints 2019, 2019050174 (doi: 10.20944/preprints201905.0174.v2). Abbasi, A.A.; Shamshirband, S.; Al-qaness, M.A.A.; Abbasi, A.; AL-Jallad, N.T.; Mosavi, A. Resource-Aware Network Topology Management Framework. Preprints 2019, 2019050174 (doi: 10.20944/preprints201905.0174.v2).

Abstract

Cloud infrastructure provides computing services where computing resources can be adjusted on-demand. However, the adoption of cloud infrastructures brings concerns like reliance on the service provider network, reliability, compliance for service level agreements (SLAs), etc. Software-defined networking (SDN) is a networking concept that suggests the segregation of a network’s data plane from the control plane. This concept improves networking behavior. In this paper, we present an SDN-enabled resource-aware topology framework. The proposed framework employs SLA compliance, Path Computation Element (PCE) and shares fair loading to achieve better topology features. We also present an evaluation, showcasing the potential of our framework.

Subject Areas

cloud computing; big data; fog computing; software-defined; networking; network management; resource management; topology.

Comments (1)

Comment 1
Received: 26 February 2020
Commenter: Amir Mosavi
Commenter's Conflict of Interests: Author
Comment: Revised text.
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