Network 'memory' system for enhanced network services

Bassem Mokhtar, Mohamed Eltoweissy, Hesham El-Sayed

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    The advent of the Internet of things will bring to bear an explosion in the number of interconnected heterogeneous objects as well as the diverse resources and services they may offer. A fundamental goal is to ensure the availability of resources and services to communicating objects ubiquitously, resiliently, on-demand and at low cost while satisfying users' QoS requirements. We hypothesize that to achieve this goal; there is a need to build capabilities for smarter networking to harvest the currently elusive rich semantics that emerge in interactions. In this paper, we propose the concept and primary architecture of a network 'memory' (or NetMem) to support smarter data-driven network operations as a foundational component of next generation networks. Guided by the fact that networking activities exhibit spatiotemporal data patterns, we design NetMem to mimic functionalities of the human memory. NetMem provides capabilities for semantics management through integrating data virtualization, cloud-like scalable storage, associative rule learning and predictive analytics. NetMem provides associative access to data patterns and relevant derived semantics to enable enhancements in decision making, QoS guarantees and utilization of resources, early anomaly detection, and more accurate behavior prediction. We evaluate NetMem using simulation. Preliminary results demonstrate the positive impact of NetMem on various network management operations.

    Original languageEnglish
    Title of host publication2013 9th International Conference on Innovations in Information Technology, IIT 2013
    Pages18-23
    Number of pages6
    DOIs
    Publication statusPublished - 2013
    Event2013 9th International Conference on Innovations in Information Technology, IIT 2013 - Abu Dhabi, Al-Ain, United Arab Emirates
    Duration: Mar 17 2013Mar 19 2013

    Publication series

    Name2013 9th International Conference on Innovations in Information Technology, IIT 2013

    Other

    Other2013 9th International Conference on Innovations in Information Technology, IIT 2013
    Country/TerritoryUnited Arab Emirates
    CityAbu Dhabi, Al-Ain
    Period3/17/133/19/13

    Keywords

    • Associative Rule Learning
    • Bio-inspired Networking
    • Cloud Data Storage
    • Data Virtualization
    • Network Design
    • Network Semantics

    ASJC Scopus subject areas

    • Management of Technology and Innovation
    • Information Systems

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