{"title":"基于协调活节点波长保留的光突发交换网络信道调度","authors":"Sethu Selvi","doi":"10.2174/1574362413666181109111518","DOIUrl":null,"url":null,"abstract":"\n\n Dedicated wavelength utilization and the isolation of control plane from\nthe data plane are the important features in the design of Optical Burst Switching (OBS). The contention\nin bursts, link congestion and the reservation cause the burst dropping in optical networks.\nThe slotted time and the burst assembly models incorporate the wavelength assignment and the\nchannel reservation schemes to reduce the dropping probability. The reservation of resources prior\nto burst arrival and the additional delay due to the burst assembly and the offset time are the major\nissues in the reduction of probability. Besides, the traditional one-to-one packet transmission consumes\nmore time due to a large number of packets handling.\n\n\n\nThis paper proposes the novel OBS model that incorporates the three\nprocesses such as Open-Flow (OF)-based Orchestrator Live Node (OLN) modeling, fuzzy logic\nbased ranking and the offset time-based reservation (without/with void filling) to overcome the issues\nin the traditional methods. Initially, the OLN modeling based on OF analysis includes the\nFlow Information Base (FIB) table for the periodical update of the link information. The fuzzy logic-\nbased ranking of channels followed by OF-OLN predicts the status of the wavelength such as\nfree, used and conversion. Based on the status, the channels are reserved without and with void\nfilling to schedule the bursts effectively. The reservation scheme employs the Offset-Time Burst\nAssembly algorithm to allow the resource reservation prior to burst arrival. Through these processes,\nthe reuse of wavelength and the reallocation of resources are possible in OBS.\n\n\n\nThe controlling of maximum burst transfer delay by the OTBA efficiently\nreduces the end-to-end delay for data traffic. The comparative analysis between the proposed\nOLN-WR with the existing Hybrid Burst Assembly (HBA), Fuzzy-based Adaptive Threshold\n(FAT) and Fuzzy-based Adaptive Hybrid Burst Assembly (FAHBA) in terms of end-to-end delay\nand transmitted amount of bursts assures the applicability of OLN-WR in scheduling and communication\nactivities in OBS networks.\n","PeriodicalId":10868,"journal":{"name":"Current Signal Transduction Therapy","volume":"13 1","pages":"1-1"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Channel Scheduling Based on Orchestrator Live Node-Wavelength Reservation for Optical Burst Switching Networks\",\"authors\":\"Sethu Selvi\",\"doi\":\"10.2174/1574362413666181109111518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\n Dedicated wavelength utilization and the isolation of control plane from\\nthe data plane are the important features in the design of Optical Burst Switching (OBS). The contention\\nin bursts, link congestion and the reservation cause the burst dropping in optical networks.\\nThe slotted time and the burst assembly models incorporate the wavelength assignment and the\\nchannel reservation schemes to reduce the dropping probability. The reservation of resources prior\\nto burst arrival and the additional delay due to the burst assembly and the offset time are the major\\nissues in the reduction of probability. Besides, the traditional one-to-one packet transmission consumes\\nmore time due to a large number of packets handling.\\n\\n\\n\\nThis paper proposes the novel OBS model that incorporates the three\\nprocesses such as Open-Flow (OF)-based Orchestrator Live Node (OLN) modeling, fuzzy logic\\nbased ranking and the offset time-based reservation (without/with void filling) to overcome the issues\\nin the traditional methods. Initially, the OLN modeling based on OF analysis includes the\\nFlow Information Base (FIB) table for the periodical update of the link information. The fuzzy logic-\\nbased ranking of channels followed by OF-OLN predicts the status of the wavelength such as\\nfree, used and conversion. Based on the status, the channels are reserved without and with void\\nfilling to schedule the bursts effectively. The reservation scheme employs the Offset-Time Burst\\nAssembly algorithm to allow the resource reservation prior to burst arrival. Through these processes,\\nthe reuse of wavelength and the reallocation of resources are possible in OBS.\\n\\n\\n\\nThe controlling of maximum burst transfer delay by the OTBA efficiently\\nreduces the end-to-end delay for data traffic. 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引用次数: 0
摘要
光突发交换(OBS)设计的重要特点是专用波长的利用和控制平面与数据平面的隔离。争用突发、链路拥塞和预留是造成光网络突发下降的主要原因。狭缝时间和突发装配模型结合了波长分配和信道保留方案,以降低跌落概率。突发到达前的资源预留、突发集合造成的额外延迟和偏移时间是降低概率的主要问题。此外,传统的一对一的数据包传输由于处理大量的数据包而消耗更多的时间。本文提出了一种新的OBS模型,该模型结合了基于Open-Flow (OF)的Orchestrator Live Node (OLN)建模、基于模糊逻辑的排序和基于偏移时间的预约(无/有空隙填充)三个过程,克服了传统OBS模型存在的问题。最初,基于OF分析的OLN建模包括流量信息库(flow Information Base, FIB)表,用于定期更新链路信息。基于模糊逻辑的信道排序,然后是of - oln,预测波长的状态,如空闲、使用和转换。根据信道的状态,对信道进行无填充和有填充的保留,有效地调度突发。预留方案采用Offset-Time BurstAssembly算法,允许在突发到达之前预留资源。通过这些过程,可以实现光存储系统中波长的重复利用和资源的重新分配。OTBA对最大突发传输延迟的控制有效地降低了数据流量的端到端延迟。通过与现有的混合突发组合(Hybrid Burst Assembly, HBA)、基于模糊自适应阈值(FAT)和基于模糊自适应混合突发组合(FAHBA)在端到端延迟和突发传输量方面的比较分析,保证了OLN-WR在OBS网络调度和通信活动中的适用性。
Channel Scheduling Based on Orchestrator Live Node-Wavelength Reservation for Optical Burst Switching Networks
Dedicated wavelength utilization and the isolation of control plane from
the data plane are the important features in the design of Optical Burst Switching (OBS). The contention
in bursts, link congestion and the reservation cause the burst dropping in optical networks.
The slotted time and the burst assembly models incorporate the wavelength assignment and the
channel reservation schemes to reduce the dropping probability. The reservation of resources prior
to burst arrival and the additional delay due to the burst assembly and the offset time are the major
issues in the reduction of probability. Besides, the traditional one-to-one packet transmission consumes
more time due to a large number of packets handling.
This paper proposes the novel OBS model that incorporates the three
processes such as Open-Flow (OF)-based Orchestrator Live Node (OLN) modeling, fuzzy logic
based ranking and the offset time-based reservation (without/with void filling) to overcome the issues
in the traditional methods. Initially, the OLN modeling based on OF analysis includes the
Flow Information Base (FIB) table for the periodical update of the link information. The fuzzy logic-
based ranking of channels followed by OF-OLN predicts the status of the wavelength such as
free, used and conversion. Based on the status, the channels are reserved without and with void
filling to schedule the bursts effectively. The reservation scheme employs the Offset-Time Burst
Assembly algorithm to allow the resource reservation prior to burst arrival. Through these processes,
the reuse of wavelength and the reallocation of resources are possible in OBS.
The controlling of maximum burst transfer delay by the OTBA efficiently
reduces the end-to-end delay for data traffic. The comparative analysis between the proposed
OLN-WR with the existing Hybrid Burst Assembly (HBA), Fuzzy-based Adaptive Threshold
(FAT) and Fuzzy-based Adaptive Hybrid Burst Assembly (FAHBA) in terms of end-to-end delay
and transmitted amount of bursts assures the applicability of OLN-WR in scheduling and communication
activities in OBS networks.
期刊介绍:
In recent years a breakthrough has occurred in our understanding of the molecular pathomechanisms of human diseases whereby most of our diseases are related to intra and intercellular communication disorders. The concept of signal transduction therapy has got into the front line of modern drug research, and a multidisciplinary approach is being used to identify and treat signaling disorders.
The journal publishes timely in-depth reviews, research article and drug clinical trial studies in the field of signal transduction therapy. Thematic issues are also published to cover selected areas of signal transduction therapy. Coverage of the field includes genomics, proteomics, medicinal chemistry and the relevant diseases involved in signaling e.g. cancer, neurodegenerative and inflammatory diseases. Current Signal Transduction Therapy is an essential journal for all involved in drug design and discovery.