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)
Abbasi, A.A., Nashat T. AL-Jallad and Amir Mosavi. 2020 "Resource-Aware Network Topology Management Framework" Preprints. https://doi.org/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.
Keywords
cloud computing; big data; fog computing; software-defined; networking; network management; resource management; topology.
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Amir Mosavi
Commenter's Conflict of Interests: Author