Paper Info
Title
High-performance flow classification using hybrid clusters in software defined mobile edge computing
Abstract
Mobile Edge Computing (MEC) provides different storage and computing capabilities within the access range of mobile devices. This moderates the burden of offloading compute/storage-intensive processes of the mobile devices to the centralized cloud data centers. As a result, the network latency is reduced and the quality of service provided for the mobile end users is improved. Different applications benefit from the large-scale deployments of MEC servers. However, the considerable complexity of managing large scale deployments of the sheer number of applications for the millions of mobile devices is a challenge. Recently, Software Defined Networking (SDN) is leveraged to resolve the problem by providing unified and programmable interfaces for managing network devices. Most of the current SDN packet processing services are tightly dependent on the packet classification service. This primary service classifies any incoming packet based on matching a set of specific fields of its header against a flow table. Acceleration of this basic process considerably increases the performance of the SDN-based MEC. In this paper, the hierarchical tree algorithm, which is a packet classification method, is parallelized using popular platforms on a cluster of Graphics Processing Units (GPUs), a cluster of Central Processing Units (CPUs), and a hybrid cluster. The best scenario for the parallel implementation of this algorithm on the CPU cluster is that which combines OpenMP and MPI.
Year
DOI
Venue
2020
10.1016/j.comcom.2020.07.002
Computer Communications
Keywords
DocType
Volume
Flow classification,Graphics Processing Unit (GPU),GPU cluster,Mobile edge computing,Software Defined Networking,Software Defined Mobile Edge Computing (SDMEC)
Journal
160
ISSN
Citations 
PageRank 
0140-3664
1
0.35
References 
Authors
0
4
Name
Order
Citations
PageRank
M. Abbasi1214.05
Azad Shokrollahi210.35
Mohammad R. Khosravi3267.55
Varun G. Menon47015.66