SUSTAINABLE CLOUD COMPUTING FOR COGNITIVE INTENT BASED NETWORKS

Authors

  • AA Periola DEPARTMENT OF ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING, BELLS UNIVERSITY OF TECHNOLOGY, OTTA, OGUN STATE, NIGERIA
  • E Obayiuwana DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, OBAFEMI AWOLOWO UNIVERSITY, ILE–IFE, OSUN STATE, NIGERIA

Keywords:

Data centers, LTE-Advanced, Peak Age of Information, Channel Capacity, Header (Control) Packets

Abstract

Intent based networks enable auto-configuration and require low latency access to cloud platforms. The use of cloud platforms incurs high operational costs. Low latency access can be realized by siting data centres close to subscribers. This paper proposes aquaria data centers with low operating costs and latency. In LTE, cloud platforms are normally accessed via the packet network gateway reachable via the serving gateway and mobility management entity. Aquaria data centers are sited close to LTE subscribers and accessed via the mobility management entity. This reduces the size of control packets in the LTE network. Simulations show that the proposed architecture reduces the size of control packets by up to 49.7% and 99.3% when header packets are uncompressed and compressed respectively. The delay associated with receiving configuration information is reduced by 50% on average. The channel capacity is enhanced by up to 22.8% on average.  

 

http://dx.doi.org/10.4314/njt.v39i4.25

Published

2020-09-30

Issue

Section

Computer, Telecommunications, Software, Electrical & Electronics Engineering