Back to all available

VMCN - optimized virtual content agent mapping and content placement for information centric virtualized cellular networks in fog enabled radio access networks

computer-networks-and-communications
computer-vision
data-mining-and-machine-learning
data-science
multimedia

Abstract

In the evolving landscape of next-generation wireless networks, the integration of Information-Centric Networking (ICN) and Network Function Virtualization (NFV) enables optimized service delivery through virtualized infrastructures. This study presents an advanced optimization framework for Information-Centric Virtualized Cellular Networks (IVCN) based on NFV in fog-enabled Radio Access Networks (RAN). Specifically, we address the joint optimization of virtual Content Agent (vCA) mapping and content placement in virtual caches (vCaches) on both the control and data planes, residing in the IVCN Networking Orchestrator. The problem, referred to as IVCN-RANO (Resource Allocation and Network Optimization), is formulated to minimize the content request forwarding weighted hops while satisfying cache storage constraints and link resource limitations. The IVCN slice includes three core components: vCA, vCache, and virtual links (vL). We define binary decision variables for the placement of vCAs at Macro Base Stations (MBS) and Small Base Stations (SBS), and content placement variables for both MBS and SBS caches. Physical link resources are modeled through shortest path metrics between MBSs and SBSs. Three heuristic algorithms are proposed—IVCN-RANO-J-C (Joint Control Plane Optimization), IVCN-RANO-J-DC (Joint Data and Control Plane Optimization), and IVCN-RANO-S-D (Sequential Data Plane Optimization) to dynamically solve the formulated problem during periodic intervals. Simulation results demonstrate significant improvements in network efficiency and content delivery performance. Future work will explore VNF component placement in the IVCN Function Orchestrator for a comprehensive end-to-end service function chain optimization.
Ask to review this manuscript

Notes for potential reviewers

  • Volunteering is not a guarantee that you will be asked to review. There are many reasons: reviewers must be qualified, there should be no conflicts of interest, a minimum of two reviewers have already accepted an invitation, etc.
  • This is NOT OPEN peer review. The review is single-blind, and all recommendations are sent privately to the Academic Editor handling the manuscript. All reviews are published and reviewers can choose to sign their reviews.
  • What happens after volunteering? It may be a few days before you receive an invitation to review with further instructions. You will need to accept the invitation to then become an official referee for the manuscript. If you do not receive an invitation it is for one of many possible reasons as noted above.
  • PeerJ Computer Science does not judge submissions based on subjective measures such as novelty, impact or degree of advance. Effectively, reviewers are asked to comment on whether or not the submission is scientifically and technically sound and therefore deserves to join the scientific literature. Our Peer Review criteria can be found on the "Editorial Criteria" page - reviewers are specifically asked to comment on 3 broad areas: "Basic Reporting", "Experimental Design" and "Validity of the Findings".
  • Reviewers are expected to comment in a timely, professional, and constructive manner.
  • Until the article is published, reviewers must regard all information relating to the submission as strictly confidential.
  • When submitting a review, reviewers are given the option to "sign" their review (i.e. to associate their name with their comments). Otherwise, all review comments remain anonymous.
  • All reviews of published articles are published. This includes manuscript files, peer review comments, author rebuttals and revised materials.
  • Each time a decision is made by the Academic Editor, each reviewer will receive a copy of the Decision Letter (which will include the comments of all reviewers).

If you have any questions about submitting your review, please email us at [email protected].