A Cross-layer Green Information-Centric Networking Design toward the Energy Internet

Ngoc Quang Nguyen, Rehmat Ullah, Byung Seo Kim, Rosilah Hassan, Takuro Sato, Tarik Taleb

Research output: Contribution to journalArticlepeer-review

Abstract

To address the energy-efficiency issue in Information-Centric Networking (ICN), this article proposes a novel Green ICN design, which adapts the power consumption of network nodes to the optimized utilization level proportionally. By learning over the consumers interactive data traffic pattern/behavior, we introduce a new concept of cross-layer power adaption conducted through dynamically adjusting link rate corresponding to content popularity to reduce the wasteful power consumption of Content Routers (CRs). We also develop controlling policy for each content provider to map its status to the most suitable operating mode to diminish power consumption. Moreover, we propose a smart Selective Caching Scheme (SCS) so that the caching portion in a CRs cache memory is adjusted according to content popularity and available spaces of two customized content cache spaces, namely hot and cold caching queues, for storing popular and unpopular content objects. This scheme can further decrease the power from caching since it is diminished when the traffic load is reduced via the proposed CRs' adaptive mechanism. The evaluation results with practical insights in several distinct scenarios show that the proposal can provide considerably higher energy-efficiency and network performance at the same time, compared to existing Internet designs with relevant state-of-the-art caching strategies.

Original languageEnglish
JournalIEEE Transactions on Network Science and Engineering
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Dynamic Power Scaling (DPS)
  • Future Internet
  • Green Networking
  • Information-Centric Networking (ICN)
  • Internet
  • network design
  • Power demand
  • Real-time systems
  • Security
  • Servers
  • Telecommunication traffic
  • Topology

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Computer Networks and Communications

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