Title
Adaptive scheduling algorithm for media-optimized traffic management in software defined networks.
Abstract
Multi-policy resource management have been considered as an efficient methodology for delivering ready-to-use media-optimized applications in Software-Defined Networks (SDNs). Prioritized flow scheduling ensures high-speed communication in SDNs under large-scale distribution, heterogeneity of network resources, and exponential distribution of the flows granularity. The effectiveness of priority-based approaches depends usually on the control mechanism of the resource management. In this paper we improve the resource utilization by developing a novel adaptive scheduling strategy. We came with an effecting scheduling strategy to determine what resource to be allocated to a set of flows keeping their priority, increasing the average utilization of resources and, most importantly, establishing a virtual circuit for a specific flow over a network. Our theoretical remarks and extensive simulation results show that the proposed scheduling strategies can achieve the described goals.
Year
DOI
Venue
2016
10.1007/s00607-014-0406-9
Computing
Keywords
Field
DocType
Scheduling, Flow management, Adaptive methods, Media-optimized applications, Software-Defined Networking, 68M20, 68M14, 68U20
Resource management,Fixed-priority pre-emptive scheduling,Fair-share scheduling,Computer science,Deadline-monotonic scheduling,Two-level scheduling,Rate-monotonic scheduling,Dynamic priority scheduling,Round-robin scheduling,Distributed computing
Journal
Volume
Issue
ISSN
98
1-2
1436-5057
Citations 
PageRank 
References 
4
0.52
40
Authors
4
Name
Order
Citations
PageRank
Florin Pop167490.24
Ciprian Dobre255287.40
Dragos-George Comaneci371.25
Joanna Kolodziej492055.57