A controlled deflection routing and wavelength assignment based scheme in Optical Burst Switched (OBS) networks

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Bakhe Nleya ◽  
Philani Khumalo ◽  
Andrew Mutsvangwa

AbstractHeterogeneous IoT-enabled networks generally accommodate both jitter tolerant and intolerant traffic. Optical Burst Switched (OBS) backbone networks handle the resultant volumes of such traffic by transmitting it in huge size chunks called bursts. Because of the lack of or limited buffering capabilities within the core network, burst contentions may frequently occur and thus affect overall supportable quality of service (QoS). Burst contention(s) in the core network is generally characterized by frequent burst losses as well as differential delays especially when traffic levels surge. Burst contention can be resolved in the core network by way of partial buffering using fiber delay lines (FDLs), wavelength conversion using wavelength converters (WCs) or deflection routing. In this paper, we assume that burst contention is resolved by way of deflecting contending bursts to other less congested paths even though this may lead to differential delays incurred by bursts as they traverse the network. This will contribute to undesirable jitter that may ultimately compromise overall QoS. Noting that jitter is mostly caused by deflection routing which itself is a result of poor wavelength and routing assigning, the paper proposes a controlled deflection routing (CDR) and wavelength assignment based scheme that allows the deflection of bursts to alternate paths only after controller buffer preset thresholds are surpassed. In this way, bursts (or burst fragments) intended for a common destination are always most likely to be routed on the same or least cost path end-to-end. We describe the scheme as well as compare its performance to other existing approaches. Overall, both analytical and simulation results show that the proposed scheme does lower both congestion (on deflection routes) as well as jitter, thus also improving throughput as well as avoiding congestion on deflection paths.

2005 ◽  
Vol 9 (3) ◽  
pp. 347-356 ◽  
Author(s):  
SuKyoung Lee ◽  
LaeYoung Kim ◽  
JooSeok Song ◽  
David Griffith ◽  
Kotikalapudi Sriram

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Bakhe Nleya ◽  
Andrew Mutsvangwa

Optical Burst Switching (OBS) paradigm coupled with Dense Wavelength Division Multiplexing (DWDM) has become a practical candidate solution for the next-generation optical backbone networks. In its practical deployment only the edge nodes are provisioned with buffering capabilities, whereas all interior (core) nodes remain buffer-less. In that way the implementation becomes quite simple as well as cost effective as there will be no need for optical buffers in the interior. However, the buffer-less nature of the interior nodes makes such networks prone to data burst contention occurrences that lead to a degradation in overall network performance as a result of sporadic heavy burst losses. Such drawbacks can be partly countered by appropriately dimensioning available network resources and reactively by way of deflecting excess as well as contending data bursts to available least-cost alternate paths. However, the deflected data bursts (traffic) must not cause network performance degradations in the deflection routes. Because minimizing contention occurrences is key to provisioning a consistent Quality of Service (QoS), we therefore in this paper propose and analyze a framework (scheme) that seeks to intelligently deflect traffic in the core network such that QoS degradations caused by contention occurrences are minimized. This is by way of regulated deflection routing (rDr) in which neural network agents are utilized in reinforcing the deflection route choices at core nodes. The framework primarily relies on both reactive and proactive regulated deflection routing approaches in order to prevent or resolve data burst contentions. Simulation results show that the scheme does effectively improve overall network performance when compared with existing contention resolution approaches. Notably, the scheme minimizes burst losses, end-to-end delays, frequency of contention occurrences, and burst deflections.


Author(s):  
Antonios Danalis

The popularity of the World Wide Web has led to an exponential increase of the traffic generated by its users for over a decade. Such a growth, over such a long period of time, would have saturated both the content providers and the network links had Web caching not been efficiently deployed. Web caching can improve the overall performance of the World Wide Web in several ways, depending on the decisions made regarding the deployment of the corresponding caches. By placing caches in strategic positions, the core network traffic can be reduced, the load of a content provider can be scaled down, and the quality of service, as the users perceive it, can be improved. In this article we present an overview of the major design and implementation challenges in Web caching, as well as their solutions.


Author(s):  
Vasilis Friderikos ◽  
Giorgos Chochlidakis ◽  
Hamid Aghvami ◽  
Mischa Dohler

The 5th Generation wireless and mobile communication is expected to provide ultrahigh data rates over wireless in the range of Gbps. But 5G will also be about providing consistency and supporting Quality of Experience in a personalized manner. We foresee an evolution in terms of physical layer enhancements to provide increased data rates, whereas a revolutionary step is required in terms of network orchestration and management to provide consistency and efficient utilization of the available resources at a minimum cost. In this chapter, key trends in wireless access technologies and thus-required network management strategies with respect to the core network are discussed. In the roadmap towards 5G networks, we envision an evolution of technologies for supporting Gbps wireless transmission, whereas a revolution would be required from the current modus operandi in the ways network orchestration and resource management is performed in these complex, hierarchical, heterogeneous and highly autonomous wireless networks.


Author(s):  
Antonios Danalis

The popularity of the World Wide Web has led to an exponential increase of the traffic generated by its users for over a decade. Such a growth, over such a long period of time, would have saturated both the content providers and the network links had Web caching not been efficiently deployed. Web caching can improve the overall performance of the World Wide Web in several ways, depending on the decisions made regarding the deployment of the corresponding caches. By placing caches in strategic positions, the core network traffic can be reduced, the load of a content provider can be scaled down, and the quality of service, as the users perceive it, can be improved. In this article we present an overview of the major design and implementation challenges in Web caching, as well as their solutions.


Author(s):  
Kashinath Basu

A significant proportion of the traffic on the 4th generation of mobile networks (4G) will be interactive multimedia traffic. This chapter presents the development and evaluation of an edge device model for the lu interface of a 4G network for mapping the Quality of Service (QoS) requirements and traffic characteristics of aggregated IP traffic flows belonging to multiple classes of continuous media (Audio and Video) sources and data classes from the core network onto a single ATM Virtual Channel (VC) at the access network. This model was developed as part of a wider range of research activity focused on supporting QoS in future mobile networks.


2020 ◽  
Vol 8 (2) ◽  
pp. 326-339 ◽  
Author(s):  
Sebastian Haunss ◽  
Jonas Kuhn ◽  
Sebastian Padó ◽  
Andre Blessing ◽  
Nico Blokker ◽  
...  

This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora. It introduces the MARDY annotation environment and presents results from an experiment in which the annotation quality of annotators with and without machine learning based annotation support is compared. The design and setting aim to measure and evaluate: a) annotation speed; b) annotation quality; and c) applicability to the use case of discourse network generation. While the results indicate only slight increases in terms of annotation speed, the authors find a moderate boost in annotation quality. Additionally, with the help of manual annotation of the actors and filtering out of the false positives, the machine learning based annotation suggestions allow the authors to fully recover the core network of the discourse as extracted from the articles annotated during the experiment. This is due to the redundancy which is naturally present in the annotated texts. Thus, assuming a research focus not on the complete network but the network core, an AI-based annotation can provide reliable information about discourse networks with much less human intervention than compared to the traditional manual approach.


Author(s):  
Igor Bisio ◽  
Stefano Delucchi ◽  
Fabio Lavagetto ◽  
Mario Marchese ◽  
Giancarlo Portomauro ◽  
...  

The main contribution of this chapter is the description of HySEP, Hybrid Simulated-Emulated Platform, developed by the authors and aimed at simulating/emulating heterogeneous networks to validate and test algorithms for traffic control and Quality of Service (QoS) assurance. Main features of HySEP are the appropriate level of accuracy and detail reached by using equipments available in most communication research laboratories, at low cost, and the easy configurability. HySEP is divided into three parts connected each others: the emulated core network; the simulated wireless access network communicating with the core network; and the real remote host. The overall platform is able to handle real traffic flows and overcomes the limitations introduced by other network simulators. HySEP is characterized by remarkable versatility and wide applicability to support the validation of different algorithms.


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