Aniruddha Gokhale

A Study of Publish/Subscribe Middleware Under Different IoT Traffic Conditions

https://dlnext.acm.org/doi/10.1145/3429881.3430109
Publish/Subscribe (pub/sub) semantics are critical for IoT applications due to their loosely coupled nature. Although OMG DDS, MQTT, and ZeroMQ are mature pub/sub solutions used for IoT, prior studies show that their performance varies significantly under different load conditions and QoS configurations, which makes middleware selection and configuration decisions hard. Moreover, the load conditions and role of QoS settings in prior comparison studies are not comprehensive and well- documented.
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2020
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PDF icon vu-siemens_paper_on_dds-mqtt-zeromq-dec2020.pdf

A Comprehensive Performance Evaluation of Different Kubernetes CNI Plugins for Edge-based and Containerized Publish/Subscribe Applications

The growing number of data- and latency-sensitive Internet of Things (IoT) applications is posing significant challenges for the edge and cloud deployment of publish/subscribe services, which are required by these applications. Two independently developed technologies show promise in addressing these challenges. First, Kubernetes (K8s) provides a de-facto standard for container orchestration that can manage and scale distributed applications in the cloud.

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2021
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PDF icon ic2e_2021_industry_track_compressed.pdf

Reactive Stream Processing for Data-centric Publish/Subscribe

The Internet of Things (IoT) paradigm has given rise to a new class of applications wherein complex data analytics must be performed in real-time on large volumes of fast-moving, heterogeneous sensor-generated data. Such data streams are often unbounded and must be processed in a distributed and parallel manner to ensure timely processing and delivery to interested subscribers.

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2015
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PDF icon rxdds_debs_2015_submission.pdf

A Cloud-enabled Coordination Service for Internet-scale OMG DDS applications

http://www.dre.vanderbilt.edu/~kyoungho/papers/DEBS2014_Poster.pdf

The OMG Data Distribution Service (DDS), which is a standard specification for data-centric publish/subscribe communications, has shown promise for use in internet of things (IoT) applications because of its loosely coupled and scalable nature, and support for multiple QoS properties, such as reliable and real-time message delivery in dynamic environments.

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2014
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Content-based Filtering Discovery Protocol (CFDP): Scalable and Efficient OMG DDS Discovery Protocol

The OMG Data Distribution Service (DDS) has been deployed in many mission-critical systems and increasingly in Internet of Things (IoT) applications since it supports a loosely-coupled, data-centric publish/subscribe paradigm with a rich set of quality-of-service (QoS) policies. Effective data communication between publishers and subscribers requires dynamic and reliable discovery of publisher/subscriber endpoints in the system, which DDS currently supports via a standardized approach called the Simple Discovery Protocol (SDP).

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2014
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PDF icon debs2014.pdf

Scalable Reactive Stream Processing Using DDS and Rx

Event-driven design is fundamental to developing resilient, responsive, and scalable reactive systems as it supports asynchrony and loose coupling. The OMG Data Distribution Service (DDS) is a proven event-driven technology for building data-centric reactive systems because it provides the primitives for decoupling system components with respect to time, space, quality-of-service, and behavior. DDS, by design, supports distribution scalability. However, with increasing core count in CPUs, building multicore-scalable reactive systems remains a challenge.

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2014
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PDF icon rx4dds-techreport.pdf

Supporting End-to-end Scalability and Real-time Event Dissemination in the OMG Data Distribution Service over Wide Area Networks

http://www.dre.vanderbilt.edu/~schmidt/PDF/elsarticle-journal.pdf

Assuring end-to-end quality-of-service (QoS) in distributed real-time and embedded (DRE) systems is hard due to the heterogeneity and scale of communication networks, transient behavior, and the lack of mechanisms that holistically schedule different resources end-to-end.

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2013
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PDF icon omg_dds_wan_hakiri_schmidt.pdf

Real-time Sensor Data Analysis Processing of a Soccer Game Using OMG DDS Publish/Subscribe Middleware

http://www.isis.vanderbilt.edu/sites/default/files/TechReport_13_102.pdf

This paper describes a real-time event-based system to distribute and analyze high-velocity sensor data collected from a soccer game case study used in the DEBS 2013 Grand Challenge. Our approach uses the OMG Data Distribution Service (DDS) for data dissemination and we combine it with algorithms to provide the necessary real-time analytics. We implemented the system using the Real-Time Innovations (RTI) ConnextTMDDS implementation, which provides a novel platform for Quality-of-Service (QoS)-aware distribution of data and real-time event processing.

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Publication Year: 
2013
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PDF icon DEBS 2013 - Real-time Sensor Data Analysis Processing of a Soccer Game

Model-driven Generative Framework for Automated DDS Performance Testing in the Cloud (Draft)

The Object Management Group’s (OMG) Data Distribution Service (DDS) provides many configurable policies which determine end-to-end quality of service (QoS) of applications.

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Publication Year: 
2013
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PDF icon Automatic-gpce-2013-draft.pdf

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