Real-time performance analysis for publish/subscribe systems

Oh, Sangyoon; Kim, Jai-Hoon; Fox, Geoffrey

doi:10.1016/j.future.2009.09.001

Cited by 41 publications

(11 citation statements)

References 20 publications

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“…On the other hand, there is also highly significant effects of the number of consumers (NC) on the average message delivery time (p < .001) with a very large effect size. Even though the overall results for the number of consumers are more or less as reported in [10], the growing delivery time can be explained by the fact that in our experiment the consumers are running on the same machine as the producer which may induce a delay due to low temporary storage space allocated for each consumer. However, we need to investigate this result with further experiments on a powerful cluster server in future.…”

Section: Raw Saxmentioning

confidence: 69%

A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing

Kolozali

Bermúdez-Edo

Puschmann

et al. 2014

2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and I

102

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Internet of Things is a generic term that refers to interconnection of real-world services which are provided by smart objects and sensors that enable interaction with the physical world. Cities are also evolving into large interconnected ecosystems in an effort to improve sustainability and operational efficiency of the city services and infrastructure. However, it is often difficult to perform real-time analysis of large amount of heterogeneous data and sensory information that are provided by various sources. This paper describes a framework for real-time semantic annotation of streaming IoT data to support dynamic integration into the Web using the Advanced Message Queuing Protocol (AMPQ). This will enable delivery of large volume of data that can influence the performance of the smart city systems that use IoT data. We present an information model to represent summarisation and reliability of stream data. The framework is evaluated with the data size and average exchanged message time using summarised and raw sensor data. Based on a statistical analysis, a detailed comparison between various sensor points is made to investigate the memory and computational cost for the stream annotation framework.

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Section: Raw Saxmentioning

confidence: 69%

A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing

Kolozali

Bermúdez-Edo

Puschmann

et al. 2014

2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and I

102

View full text Add to dashboard Cite

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“…Pub-Sub system is easy to configured and also support different models of subscriptions. It helps publishers and subscribers to distribute and receive the messages using fewer resources by providing offline notification [23].…”

Section: B Configuration Easementioning

confidence: 99%

University Notification Subscription System using Amazon Web Service

Malik¹,

Dar²,

Kayani³

et al. 2018

ijacsa

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Publish-Subscribe (Pub-Sub) system is an asynchronous communication service widely used in server-less and micro-services architecture. In a Pub-Sub system, publisher publish message to a topic that is immediately received by all of the subscribers of that topic. Nowadays, students face number of problems regarding admission details, assignments, offered courses, fee schedule, etc. Many a times, they missed the deadlines and it affects their studies. This paper is focused on issues faced by students regarding message delivery, duplication of data and heavy traffic, etc. It should be overcome by using amazon web services to make optimize product and to make it flexible for university Pub-Sub system. Implement the cloud services by using hybrid technique, i.e., content based and topic based architecture. It also explained the multitude use-case of university notification system which leads to make it more adaptable as subscriptions are identified with particular data content.

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“…Most of the previous frameworks barely implement the client/server paradigm. Only Orca, ROS and Nerve supply publish/subscribe one-to-many communications, which improve the overall performance of data exchanges and decouple discovery and communication tasks [34]. However, in most factory automation applications both client/server and publisher/subscriber paradigms should be combined.…”

Section: Related Workmentioning

confidence: 99%

Designing High Performance Factory Automation Applications on Top of DDS

Calvo

Pérez

Etxeberria‐Agiriano

et al. 2013

International Journal of Advanced Robotic Systems

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DDS is a recent specification aimed at providing high-performance publisher/subscriber middleware solutions. Despite being a very powerful flexible technology, it may prove complex to use, especially for the inexperienced. This work provides some guidelines for connecting software components that represent a new generation of automation devices (such as PLCs, IPCs and robots) using Data Distribution Service (DDS) as a virtual software bus. More specifically, it presents the design of a DDS-based component, the so-called Automation Component, and discusses how to map different traffic patterns using DDS entities exploiting the wealth of QoS management mechanisms provided by the DDS specification. A case study demonstrates the creation of factory automation applications out of software components that encapsulate independent stations.

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Real-time performance analysis for publish/subscribe systems

Cited by 41 publications

References 20 publications

A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing

A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing

University Notification Subscription System using Amazon Web Service

Designing High Performance Factory Automation Applications on Top of DDS

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