Predicting Dynamic Network State of SFC Operation With Uncertainties

Hirwe, Anish and Dalal, Ibrahim and Kataoka, Kotaro (2020) Predicting Dynamic Network State of SFC Operation With Uncertainties. IEEE Communications Letters, 24 (11). pp. 2564-2568. ISSN 1089-7798

Full text not available from this repository. (Request a copy)

Abstract

Validation of network state of Network Function Virtualization Infrastructure (NFVI) under various uncertainties are of primary importance as they directly affect Service Function Chain (SFC) provisioning and its performance. SFC provisioning against the uncertainties, including variable traffic demand and failures of link and switch makes validation challenging because the number of scenarios to validate grows exponentially with the number of such failures. This letter takes advantage of a two-stage validation framework and proposes a validation strategy to verify the underlying NFVI network state that supports SFC provisioning despite various uncertainty in the network. We demonstrate the effectiveness of our strategy through different failure and SFC placement scenarios using realistic network topologies and traffic matrix.

[error in script]

IITH Creators:

IITH Creators	ORCiD
Hirwe, Anish	UNSPECIFIED
Dalal, Ibrahim	UNSPECIFIED
Kataoka, Kotaro	UNSPECIFIED

Item Type:

Article

Uncontrolled Keywords:

Dynamic network; Network state; Network topology; Service functions; Traffic demands; Traffic matrices; Validation strategies;Infrastructure as a service (IaaS);Network function virtualization

Subjects:

Computer science

Divisions:

Department of Computer Science & Engineering

Depositing User:

. LibTrainee 2021

Date Deposited:

29 Jul 2021 10:58

Last Modified:

29 Jul 2021 10:58

URI:

http://raiithold.iith.ac.in/id/eprint/8560