scholarly journals Fixed point optimization algorithm and its application to network bandwidth allocation

2012 ◽  
Vol 236 (7) ◽  
pp. 1733-1742 ◽  
Author(s):  
Hideaki Iiduka
Keyword(s):  
Fixed Point ◽  
Optimization Algorithm ◽  
Bandwidth Allocation ◽  
Network Bandwidth ◽  
Fixed Point Optimization Algorithm

scholarly journals DiffPerf: Towards Performance Differentiation and Optimization with SDN Implementation

2021 ◽  
Author(s):  
Walid Aljoby
Keyword(s):  
Bandwidth Allocation ◽  
Network Bandwidth ◽  
Significant Step ◽  
Performance Differentiation

Our work, DiffPerf, is a key enabler which represents a significant step forward in network softwarization. It supports an agile and dynamic in-network bandwidth allocation in an ISP-centric settings and is implemented on largest community-led SDN platforms.

scholarly journals Regional Load Balancing Circuitous Bandwidth Allocation Method Based on Dynamic Auction Mechanism

2018 ◽  
Vol 176 ◽  
pp. 01020
Author(s):  
Wang Chao ◽  
Zhang Dalong ◽  
Ran Xiaomin
Keyword(s):  
Load Balancing ◽  
Bandwidth Allocation ◽  
Link Quality ◽  
Communication Overhead ◽  
Response Delay ◽  
Allocation Model ◽  
Network Bandwidth ◽  
Delay Increase ◽  
Link Model ◽  
Network Status

Aiming at the problem of link congestion caused by the shortage of network bandwidth resources at the user end, this paper first proposes a regional load balancing idea. Then, for the problem of bandwidth resource allocation in regional load balancing, a bandwidth allocation model is established and a dynamic auction algorithm is proposed. The algorithm calculates the link quality and stability by constructing a link model, and introduces the auction bandwidth to the auctioneer's incentive degree to obtain the auction bidding function. The simulation results show that the algorithm can effectively improve the user's network status, reduce the service response delay, increase the throughput, and at the same time can effectively prevent the auction user's false bidding behavior, so that the auction quote quickly converges to the maximum quote, reduces the number of auctions, and reduces Communication overhead.

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