“…Also, the fog services (mentioned as migratory services by the authors) are prioritized over the normal best effort services. In [18], we proposed a bandwidth allocation protocol for the fog node which schedules the fog services when the ONUs are free of its OLT upstream.…”
Section: B Relevant Work and Literature Gapsmentioning
confidence: 99%
“…We consider plugging fog node at the remote node [18]. It is attached to the available free ports of the passive power splitter as shown in Fig.…”
Section: Round Trip From Fog To On U Imentioning
confidence: 99%
“…A feeder fiber with high operating bandwidth connects the remote node to a central office called Optical Line Terminal (OLT). To facilitate emerging uRLLC applications in a PON based framework, a fog/edge node can be plugged at the remote node (to reduce round-trip delay compared to plugging at OLT) in an overlay fashion [12], [16], [18] as shown in Fig. 1.…”
Emerging real-time applications such as those classified under ultra-reliable low latency (uRLLC) generate bursty traffic and have strict Quality of Service (QoS) requirements. Passive Optical Network (PON) is a popular access network technology, which is envisioned to handle such applications at the access segment of the network. However, the existing standards cannot handle strict QoS constraints. The available solutions rely on instantaneous heuristic decisions and maintain QoS constraints (mostly bandwidth) in an average sense. Existing works with optimal strategies are computationally complex and are not suitable for uRLLC applications. This paper presents a novel computationally-efficient, far-sighted bandwidth allocation policy design for facilitating bursty traffic in a PON framework while satisfying strict QoS (age of information/delay and bandwidth) requirements of modern applications. To this purpose, first we design a delay-tracking mechanism which allows us to model the resource allocation problem from a control-theoretic viewpoint as a Model Predictive Control (MPC). MPC helps in taking far-sighted decisions regarding resource allocations and captures the time-varying dynamics of the network. We provide computationally efficient polynomial-time solutions and show its implementation in the PON framework. Compared to existing approaches, MPC reduces delay violations by approximately 15% for a delay-constrained application of 1ms target. Our approach is also robust to varying traffic arrivals.
“…Also, the fog services (mentioned as migratory services by the authors) are prioritized over the normal best effort services. In [18], we proposed a bandwidth allocation protocol for the fog node which schedules the fog services when the ONUs are free of its OLT upstream.…”
Section: B Relevant Work and Literature Gapsmentioning
confidence: 99%
“…We consider plugging fog node at the remote node [18]. It is attached to the available free ports of the passive power splitter as shown in Fig.…”
Section: Round Trip From Fog To On U Imentioning
confidence: 99%
“…A feeder fiber with high operating bandwidth connects the remote node to a central office called Optical Line Terminal (OLT). To facilitate emerging uRLLC applications in a PON based framework, a fog/edge node can be plugged at the remote node (to reduce round-trip delay compared to plugging at OLT) in an overlay fashion [12], [16], [18] as shown in Fig. 1.…”
Emerging real-time applications such as those classified under ultra-reliable low latency (uRLLC) generate bursty traffic and have strict Quality of Service (QoS) requirements. Passive Optical Network (PON) is a popular access network technology, which is envisioned to handle such applications at the access segment of the network. However, the existing standards cannot handle strict QoS constraints. The available solutions rely on instantaneous heuristic decisions and maintain QoS constraints (mostly bandwidth) in an average sense. Existing works with optimal strategies are computationally complex and are not suitable for uRLLC applications. This paper presents a novel computationally-efficient, far-sighted bandwidth allocation policy design for facilitating bursty traffic in a PON framework while satisfying strict QoS (age of information/delay and bandwidth) requirements of modern applications. To this purpose, first we design a delay-tracking mechanism which allows us to model the resource allocation problem from a control-theoretic viewpoint as a Model Predictive Control (MPC). MPC helps in taking far-sighted decisions regarding resource allocations and captures the time-varying dynamics of the network. We provide computationally efficient polynomial-time solutions and show its implementation in the PON framework. Compared to existing approaches, MPC reduces delay violations by approximately 15% for a delay-constrained application of 1ms target. Our approach is also robust to varying traffic arrivals.
“…In [20], the authors proposed a 2D prioritized queuing model and sizing and scheduling for bandwidth management for multitype services in an access limited format. In [21], the authors successfully implemented the DBA algorithm for fog services and implemented a single line for ONU that resulted in a cost-effective and energy-saving model. Reference [22] dealt with the average packet delay and servicing frame sequencing issues to service DBA for EPON devices, particularly upstream wavelength channels.…”
Section: Related Workmentioning
confidence: 99%
“…To conveniently describe abbreviations, and corresponding definitions used throughout manuscript are listed in Table. 1. According to previous studies [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24], the allocation of bandwidth from the point of EPON to its final destination at user premises must be wisely handled.…”
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