Realization of a Scalable and Reliable Multicast Transport Protocol for Many-to-Many Sessions

Lee, Seungik; Ko, Yangwoo; Lee, Dongman

doi:10.4218/etrij.07.0107.0158

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…They also require the need to preconfigure nodes to bootstrap the discovery service. The scalability issue of such a decentralized peer-to-peer system is welldocumented [15,16] …”

Section: A Scalable Service Discovery Protocol With Optimal Discoverymentioning

confidence: 99%

An Efficient Discovery Protocol of Large-Scale CPS Middleware for Real-Time Control System

Park¹,

Joe²,

Kim³

2014

SIC

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A Cyber Physical System (CPS) is an autonomous embedded system based on high reliability with real-time control of distributed physical systems through wired/wireless networks. There is usually large volume of data which needs to be delivered to right places at the right time. In addition, large number of controllers in the automation and control systems are usually distributed which increases the complexity that there needs to be more point-to-point Ethernetconnections in the network. Because the controllers in the network may share control data and interact with each other from different communication protocols, including higher level operator systems. The interdependencies between these nodes may potentially create a complex architecture of the network in the distributed system especially if the point-topoint connection needs to be established. Publish-subscribe model shows some appealing properties, such as connectionless and multicast, that can be used to reduce some of the visible complexity in the software systems. Data distribution middleware for CPS should be based on a data-centric approach and guarantee real-time performance. In this regard, OMG's DDS is the best proximity middleware. RTPS (Real-Time Publish/Subscribe) is proposed for real-time service discovery in DDS. However, legacy discovery protocols cannot completely support the CPS system with a largescale network (approx. 100,000 entities) like a warship, because service discovery messages are proportional to the square of the number of participants in RTPS. This paper proposes a scalable and fast service discovery protocol with improved discovery time for large-scale cyber physical systems based on the boot-strap algorithm and adaptive PDP message period. As a result, the proposed protocol improves reliability and real-time for service discovery in cyber physical systems. In this paper, mathematical analysis and test-bed experiments are conducted to evaluate the performance of the proposed protocol. Consequently, mathematical analysis and test-bed experiments provide almost identical results. The performance results prove that our protocol works to scale for large-scale CPS networks by minimizing the discovery time as well as traffic simultaneously

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“…They also require the need to preconfigure nodes to bootstrap the discovery service. The scalability issue of such a decentralized peer-to-peer system is welldocumented [15,16] …”

Section: A Scalable Service Discovery Protocol With Optimal Discoverymentioning

confidence: 99%

An Efficient Discovery Protocol of Large-Scale CPS Middleware for Real-Time Control System

Park¹,

Joe²,

Kim³

2014

SIC

View full text Add to dashboard Cite

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“…The task schedule is also returned to the task requesters through a Web interface so that the task requesters can confirm the scheduling result. If the number of task requesters is large, a multi-task approach [1], [2] can be used to reduce the network burden. The task execution status is sent from the ROS and is stored in MPS.…”

Section: Task Scheduling Algorithmmentioning

confidence: 99%

Task Scheduling Algorithm for the Communication, Ocean, and Meteorological Satellite

2008

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In this paper, we propose an efficient single-resource task scheduling algorithm for the Communication, Ocean, and Meteorological Satellite. Among general satellite planning functions such as constraint check, priority check, and task scheduling, this paper focuses on the task scheduling algorithm, which resolves conflict among tasks which have an exclusion relation and the same priority. The goal of the proposed task scheduling algorithm is to maximize the number of tasks that can be scheduled. The rationale of the algorithm is that a discarded task can be scheduled instead of a previously selected one depending on the expected benefit acquired by doing so. The evaluation results show that the proposed algorithm enhances the number of tasks that can be scheduled considerably.

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Realization of a Scalable and Reliable Multicast Transport Protocol for Many-to-Many Sessions

Cited by 2 publications

References 13 publications

An Efficient Discovery Protocol of Large-Scale CPS Middleware for Real-Time Control System

An Efficient Discovery Protocol of Large-Scale CPS Middleware for Real-Time Control System

Task Scheduling Algorithm for the Communication, Ocean, and Meteorological Satellite

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