Migration-aware Network Services with Edge Computing

Migration-aware Network Services with Edge Computing

Mukhopadhyay, Atri (Trinity College Dublin)
Iosifidis, G. (TU Delft Embedded and Networked Systems)
Ruffini, Marco (Trinity College Dublin)

2022

The development of Multi-access edge computing (MEC) has resulted from the requirement for supporting next generation mobile services, which need high capacity, high reliability and low latency. The key issue in such MEC architectures is to decide which edge nodes will be employed for serving the needs of the different end users. Here, we take a fresh look into this problem by focusing on the minimization of migration events rather than focusing on maximizing usage of resources. This is important because service migrations can create significant service downtime to applications that need low latency and high reliability, in addition to increasing traffic congestion in the underlying network. This paper introduces a priority induced service migration minimization (PrISMM) algorithm, which aims at minimizing service migration for both high and low priority services, through the use of Markov decision process, learning automata and combinatorial optimization. We carry out extensive simulations and produce results showing its effectiveness in reducing the mean service downtime of lower priority services and the mean admission time of the higher priority services.

Costs
generalized assignment problem
learning automata
markov decision process
Markov processes
Minimization
multi-access edge computing
Passive optical networks
Resource management
Servers
service migration.
Task analysis

http://resolver.tudelft.nl/uuid:dfaa4423-5e22-45cd-93e8-e469c7c71255

https://doi.org/10.1109/TNSM.2021.3139857

1932-4537

IEEE Transactions on Network and Service Management, 19 (2), 1458-1471

Institutional Repository

journal article

© 2022 Atri Mukhopadhyay, G. Iosifidis, Marco Ruffini