An Autonomous and Dynamic Coordination and Discovery Service for Wide-Area Peer-to-peer Publish/Subscribe

Abstract

Industrial Internet of ings (IIoT) applications found in domains such as smart-grids, intelligent tranportation, manufacturing and healthcare systems, are distributed and mission-critical in nature. IIoT requires a scalable data sharing and dissemination platform that supports qulaity of service properties such as timeliness, resilience, and security. Although the Object Management Group (OMG)'s Data Distribution Service (DDS), which is a data-centric, peer-to-peer publish/subscribe standard supporting multiple QoS properties, is well-suited to meet the requirements of IIoT applications, the design of OMG DDS and current technology limitations constrains its use to local area networks only. Moreover, even though broker-based bridging services exist to interconnect isolated DDS networks, these solutions lack autonomous and dynamic coordination and discovery capabilities that are needed to bridge multiple, isolated networks on demand. To address these limitations, and enable a practical and readily deployable solution for IIoT, this paper presents PubSubCoord, which is an autonomous, coordination and discovery service for DDS endpoints operating over wide area networks (WANs). Empirical results evaluating the feasibility and performance of PubSubCoord are presented for (1) scalability of data dissemination and coordination, and (2) deadlineaware overlays employing con gurable QoS to provide low-latency data delivery for topics demanding strict service requirements. CCS CONCEPTS •Computer systems organization →Cloud computing; Peerto-peer architectures; •Applied computing →Event-driven architectures;

Efficient Solution for Large-Scale IoT Applications with Proactive Edge-Cloud Publish/Subscribe Brokers Clustering

“…Due to long delays when transferring data from clients to cloud brokers, however, it cannot guarantee meeting the needs of delay-sensitive IoT applications. On the other hand, edge pub/sub brokers are placed in isolated edge networks in PubSub-Coord [29]. Therefore, messages exchanged among clients belonging to the same edge network are routed through a common edge broker to reduce delays.…”

“…We collected approximately 290 million end-to-end messages to measure performance metrics, i.e., delivery latency (ADL), relay traffic (AFT), and brokers' node degrees (ND). For comparison with other similar approaches, we implemented an Edge-Cloud pub/sub scheme motivated by An et al [29] known as PubSubCoord-alike. In this scheme, edge brokers deployed in isolated networks handle data delivery for adjacent pub/sub clients, and a group of cloud brokers manages the routing service so edge brokers can link to all topic channels of the system.…”

Efficient Edge-Cloud Publish/Subscribe Broker Overlay Networks to Support Latency-Sensitive Wide-Scale IoT Applications

“…Another way is to incorporate strong characteristics of both Fog Computing and Cloud Computing by deploying distributed brokers closer to the clients and coordinating them with brokers located in the Cloud. In PubSubCoord [19], edge brokers are deployed at isolated networks to reduce delays, and routing servers are deployed in the Cloud to route messages among the edge network brokers. In [19], however, the authors do not exploit topic correlations among proximate edge brokers to further decrease delays.…”

“…In PubSubCoord [19], edge brokers are deployed at isolated networks to reduce delays, and routing servers are deployed in the Cloud to route messages among the edge network brokers. In [19], however, the authors do not exploit topic correlations among proximate edge brokers to further decrease delays. In addition, it is very important to provide efficient mechanisms for edge/fog servers to communicate and collaborate with each other to improve system performance [20].…”

“…We implement another Edge-Cloud based pub/sub scheme that is inspired by the work in [19], a.k.a. PubSubCoord-alike.…”