A Parallel Multiobjective Approach based on Honey Bees for Traffic Grooming in Optical Networks

Rubio-Largo, Álvaro; Vega‐Rodríguez, Miguel A.; González-Álvarez, David L.

doi:10.1093/comjnl/bxv046

Cited by 1 publication

(2 citation statements)

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“…18,19 An optimization problem which maximizes network availability for a given number of labor units is addressed. 18,19 An optimization problem which maximizes network availability for a given number of labor units is addressed.…”

Section: Introductionmentioning

confidence: 99%

“…Then, we quantify the relation between link availability and labor units in our optimization model based on Amdahl's law, † a well-known principle in parallel computing. 18,19 An optimization problem which maximizes network availability for a given number of labor units is addressed. The problem can also be extended to a dual version that determines the minimal labor units to fulfill a predetermined requirement of network availability.…”

Section: Introductionmentioning

confidence: 99%

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Upgrading service availability of optical networks: A labor force perspective

Chang

Wang

2018

Int J Communication

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Service availability is an important issue in optical networks. Much research attention has been drawn to the provisioning of reliable connections achieved by approaches such as routing and wavelength assignment and by protection and restoration mechanisms. In contrast, the research on upgrading networks to meet new or dynamic demands of service availability based on network upgrading process has been comparatively lacking. In this paper, we address this issue by upgrading service availability from the perspective of labor forces for network maintenance. Our approach is premised on the assumption that the time period for fixing an optical link can be reduced by using more network resources of labor forces. To model this concept, we conduct Amdahl's law, a well-known theorem in parallel computing, to describe human teamwork. To show the effectiveness of this concept, we propose mixed integer linear programming aiming at either maximizing service availability under limited labor forces or minimizing labor forces for predetermined service availability. In addition, a heuristic algorithm for upgrading service availability is presented.Our experimental results show that our network upgrading process can improve service availability optimally with a fixed number of forces and the proposed heuristic algorithm can effectively save computation time.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%