Extended Johnson's Sequencing for Load Balancing in Edge Computing

摘要

Mobile / Multi-Access Edge Computing (MEC) arose as an important technology in order to facilitate lowlatency data processing at the edge of mobile networks. This empowers MEC to reduce congestion in the network, increases quicker response and to get optimum utilization of resources in a distributed environment. Mobile user requests can be administered and processed in a neighboring proximity with the intention to facilitate context sensitivity and to reduce latency. Conventional edge networks operate the packet forwarding, redirecting and filtering. At this point of time, if a mobile or portable user sends a request, it will be processed in a remote server located at far-off from the users. Lot many emerging technologies and RAN (Radio Access Network) perform their computation-offloading at the edge networks. A user could offload his job to a neighboring server in edge computing model in order to provision lot many online and real-time facilities. Datacenters in MEC model has numerous applications running in the server. This traffic is managed through load balancers to make sure that load is distributed evenly to all the servers. Hence, load balancing is an indispensable aspect to balance the network traffic to any readily available resources. An efficient routing algorithm decides the true end-to-end routing between a source and estimation network. The proposed extended Johnson's three machine algorithm performs considerably higher than any other Flow shop sequencing.