Performance Comparison of Message Queue Methods
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Evaluating DDS, MQTT, and Zeromq Under Different Iot Traffic Conditions
Evaluating DDS, MQTT, and ZeroMQ Under Different IoT Traffic Conditions Zhuangwei Kang Robert Canady Abhishek Dubey Vanderbilt University Vanderbilt University Vanderbilt University Nashville, Tennessee Nashville, Tennessee Nashville, Tennessee [email protected] [email protected] [email protected] Aniruddha Gokhale Shashank Shekhar Matous Sedlacek Vanderbilt University Siemens Technology Siemens Technology Nashville, Tennessee Princeton, New Jersey Munich, Germany [email protected] [email protected] [email protected] Abstract Keywords: Publish/Subscribe Middleware, Benchmark- ing, MQTT, DDS, ZeroMQ, Performance Evaluation 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 1 Introduction load conditions and QoS configurations, which makes Distributed deployment of real-time applications and middleware selection and configuration decisions hard. high-speed dissemination of massive data have been hall- Moreover, the load conditions and role of QoS settings in marks of the Internet of Things (IoT) platforms. IoT prior comparison studies are not comprehensive and well- applications typically adopt publish/subscribe (pub/- documented. To address these limitations, we (1) propose sub) middleware for asynchronous and cross-platform a set of performance-related properties for pub/sub mid- communication. OMG Data Distribution Service (DDS), dleware and investigate their support in DDS, MQTT, ZeroMQ, and MQTT are three representative pub/sub and ZeroMQ; (2) perform systematic experiments under technologies that have entirely different architectures (de- three representative, lab-based real-world IoT use cases; centralized data-centric, decentralized message-centric, and (3) improve DDS performance by applying three and centralized message-centric, respectively). -
Java Linksammlung
JAVA LINKSAMMLUNG LerneProgrammieren.de - 2020 Java einfach lernen (klicke hier) JAVA LINKSAMMLUNG INHALTSVERZEICHNIS Build ........................................................................................................................................................... 4 Caching ....................................................................................................................................................... 4 CLI ............................................................................................................................................................... 4 Cluster-Verwaltung .................................................................................................................................... 5 Code-Analyse ............................................................................................................................................. 5 Code-Generators ........................................................................................................................................ 5 Compiler ..................................................................................................................................................... 6 Konfiguration ............................................................................................................................................. 6 CSV ............................................................................................................................................................. 6 Daten-Strukturen -
This Paper Must Be Cited As
Document downloaded from: http://hdl.handle.net/10251/64607 This paper must be cited as: Luzuriaga Quichimbo, JE.; Pérez, M.; Boronat, P.; Cano Escribá, JC.; Tavares De Araujo Cesariny Calafate, CM.; Manzoni, P. (2015). A comparative evaluation of AMQP and MQTT protocols over unstable and mobile networks. 12th IEEE Consumer Communications and Networking Conference (CCNC 2015). IEEE. doi:10.1109/CCNC.2015.7158101. The final publication is available at http://dx.doi.org/10.1109/CCNC.2015.7158101 Copyright IEEE Additional Information © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. A comparative evaluation of AMQP and MQTT protocols over unstable and mobile networks Jorge E. Luzuriaga∗, Miguel Perezy, Pablo Boronaty, Juan Carlos Cano∗, Carlos Calafate∗, Pietro Manzoni∗ ∗Department of Computer Engineering Universitat Politecnica` de Valencia,` Valencia, SPAIN [email protected], jucano,calafate,[email protected] yUniversitat Jaume I, Castello´ de la Plana, SPAIN [email protected], [email protected] Abstract—Message oriented middleware (MOM) refers to business application [6]. It works like instant messaging or the software infrastructure supporting sending and receiving email, and the difference towards these available -
D-Bus, the Message Bus System Training Material
Maemo Diablo D-Bus, The Message Bus System Training Material February 9, 2009 Contents 1 D-Bus, The Message Bus System 2 1.1 Introduction to D-Bus ......................... 2 1.2 D-Bus architecture and terminology ................ 3 1.3 Addressing and names in D-Bus .................. 4 1.4 Role of D-Bus in maemo ....................... 6 1.5 Programming directly with libdbus ................. 9 1 Chapter 1 D-Bus, The Message Bus System 1.1 Introduction to D-Bus D-Bus (the D originally stood for "Desktop") is a relatively new inter process communication (IPC) mechanism designed to be used as a unified middleware layer in free desktop environments. Some example projects where D-Bus is used are GNOME and Hildon. Compared to other middleware layers for IPC, D-Bus lacks many of the more refined (and complicated) features and for that reason, is faster and simpler. D-Bus does not directly compete with low level IPC mechanisms like sock- ets, shared memory or message queues. Each of these mechanisms have their uses, which normally do not overlap the ones in D-Bus. Instead, D-Bus aims to provide higher level functionality, like: Structured name spaces • Architecture independent data formatting • Support for the most common data elements in messages • A generic remote call interface with support for exceptions (errors) • A generic signalling interface to support "broadcast" type communication • Clear separation of per-user and system-wide scopes, which is important • when dealing with multi-user systems Not bound to any specific programming language (while providing a • design that readily maps to most higher level languages, via language specific bindings) The design of D-Bus benefits from the long experience of using other mid- dleware IPC solutions in the desktop arena and this has allowed the design to be optimised. -
Enterprise Integration Patterns N About Apache Camel N Essential Patterns Enterprise Integration Patterns N Conclusions and More
Brought to you by... #47 CONTENTS INCLUDE: n About Enterprise Integration Patterns n About Apache Camel n Essential Patterns Enterprise Integration Patterns n Conclusions and more... with Apache Camel Visit refcardz.com By Claus Ibsen ABOUT ENTERPRISE INTEGRATION PaTTERNS Problem A single event often triggers a sequence of processing steps Solution Use Pipes and Filters to divide a larger processing steps (filters) that are connected by channels (pipes) Integration is a hard problem. To help deal with the complexity Camel Camel supports Pipes and Filters using the pipeline node. of integration problems the Enterprise Integration Patterns Java DSL from(“jms:queue:order:in”).pipeline(“direct:transformOrd (EIP) have become the standard way to describe, document er”, “direct:validateOrder”, “jms:queue:order:process”); and implement complex integration problems. Hohpe & Where jms represents the JMS component used for consuming JMS messages Woolf’s book the Enterprise Integration Patterns has become on the JMS broker. Direct is used for combining endpoints in a synchronous fashion, allow you to divide routes into sub routes and/or reuse common routes. the bible in the integration space – essential reading for any Tip: Pipeline is the default mode of operation when you specify multiple integration professional. outputs, so it can be omitted and replaced with the more common node: from(“jms:queue:order:in”).to(“direct:transformOrder”, “direct:validateOrder”, “jms:queue:order:process”); Apache Camel is an open source project for implementing TIP: You can also separate each step as individual to nodes: the EIP easily in a few lines of Java code or Spring XML from(“jms:queue:order:in”) configuration. -
Robust Messaging with Rabbitmq
Spring RabbitMQ for High Load Martin Toshev Who am I Software consultant (CoffeeCupConsulting) BG JUG board member (http://jug.bg) OpenJDK and Oracle RDBMS enthusiast Twitter: @martin_fmi 2 3 Agenda • Messaging Basics • RabbitMQ Overview • Spring RabbitMQ 4 Messaging Basics 5 Messaging • Messaging provides a mechanism for loosely-coupled integration of systems • The central unit of processing in a message is a message which typically contains a body and a header 6 Use cases • Offloading long-running tasks to worker nodes • Distributing and processing high loads of data • Aggregating logs and propagating events between systems • Many others … 7 Messaging protocols • Messaging solutions implement different protocols for transferring of messages such as AMQP, XMPP, MQTT, STOMP, Kafka binary protocol and others • The variety of protocols imply vendor lock-in 8 Messaging protocols comparison AMQP MQTT XMPP STOMP Kafka goal replacement of messaging for instant messaging, message-oriented processing of large proprietary protocols resource-constrained adopted for wider middleware real-time data feeds devices use format binary binary XML-based text-based binary API divided into classes simple (5 basic different XML items ~ 10 basic commands 42 request types in (> 40 methods in operations with 2-3 with multiple types latest version (Kafka RabbitMQ) packet types for each) 2.0.0) reliability publisher/subscriber acknowledgements Acknowledgments Subscriber Acknowledgements, acknowledgements, and resumptions acknowledgements transactional transactions -
Building a Modern, Scalable Cyber Intelligence Platform with Apache Kafka
White Paper Information Security | Machine Learning October 2020 IT@Intel: Building a Modern, Scalable Cyber Intelligence Platform with Apache Kafka Our Apache Kafka data pipeline based on Confluent Platform ingests tens of terabytes per day, providing in-stream processing for faster security threat detection and response Intel IT Authors Executive Summary Ryan Clark Advanced cyber threats continue to increase in frequency and sophistication, Information Security Engineer threatening computing environments and impacting businesses’ ability to grow. Jen Edmondson More than ever, large enterprises must invest in effective information security, Product Owner using technologies that improve detection and response times. At Intel, we Dennis Kwong are transforming from our legacy cybersecurity systems to a modern, scalable Information Security Engineer Cyber Intelligence Platform (CIP) based on Kafka and Splunk. In our 2019 paper, Transforming Intel’s Security Posture with Innovations in Data Intelligence, we Jac Noel discussed the data lake, monitoring, and security capabilities of Splunk. This Security Solutions Architect paper describes the essential role Apache Kafka plays in our CIP and its key Elaine Rainbolt benefits, as shown here: Industry Engagement Manager ECONOMIES OPERATE ON DATA REDUCE TECHNICAL GENERATES OF SCALE IN STREAM DEBT AND CONTEXTUALLY RICH Paul Salessi DOWNSTREAM COSTS DATA Information Security Engineer Intel IT Contributors Victor Colvard Information Security Engineer GLOBAL ALWAYS MODERN KAFKA LEADERSHIP SCALE AND REACH ON ARCHITECTURE WITH THROUGH CONFLUENT Juan Fernandez THRIVING COMMUNITY EXPERTISE Technical Solutions Specialist Frank Ober SSD Principal Engineer Apache Kafka is the foundation of our CIP architecture. We achieve economies of Table of Contents scale as we acquire data once and consume it many times. -
Beej's Guide to Unix IPC
Beej's Guide to Unix IPC Brian “Beej Jorgensen” Hall [email protected] Version 1.1.3 December 1, 2015 Copyright © 2015 Brian “Beej Jorgensen” Hall This guide is written in XML using the vim editor on a Slackware Linux box loaded with GNU tools. The cover “art” and diagrams are produced with Inkscape. The XML is converted into HTML and XSL-FO by custom Python scripts. The XSL-FO output is then munged by Apache FOP to produce PDF documents, using Liberation fonts. The toolchain is composed of 100% Free and Open Source Software. Unless otherwise mutually agreed by the parties in writing, the author offers the work as-is and makes no representations or warranties of any kind concerning the work, express, implied, statutory or otherwise, including, without limitation, warranties of title, merchantibility, fitness for a particular purpose, noninfringement, or the absence of latent or other defects, accuracy, or the presence of absence of errors, whether or not discoverable. Except to the extent required by applicable law, in no event will the author be liable to you on any legal theory for any special, incidental, consequential, punitive or exemplary damages arising out of the use of the work, even if the author has been advised of the possibility of such damages. This document is freely distributable under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. See the Copyright and Distribution section for details. Copyright © 2015 Brian “Beej Jorgensen” Hall Contents 1. Intro................................................................................................................................................................1 1.1. Audience 1 1.2. Platform and Compiler 1 1.3. -
An Introduction to Linux IPC
An introduction to Linux IPC Michael Kerrisk © 2013 linux.conf.au 2013 http://man7.org/ Canberra, Australia [email protected] 2013-01-30 http://lwn.net/ [email protected] man7 .org 1 Goal ● Limited time! ● Get a flavor of main IPC methods man7 .org 2 Me ● Programming on UNIX & Linux since 1987 ● Linux man-pages maintainer ● http://www.kernel.org/doc/man-pages/ ● Kernel + glibc API ● Author of: Further info: http://man7.org/tlpi/ man7 .org 3 You ● Can read a bit of C ● Have a passing familiarity with common syscalls ● fork(), open(), read(), write() man7 .org 4 There’s a lot of IPC ● Pipes ● Shared memory mappings ● FIFOs ● File vs Anonymous ● Cross-memory attach ● Pseudoterminals ● proc_vm_readv() / proc_vm_writev() ● Sockets ● Signals ● Stream vs Datagram (vs Seq. packet) ● Standard, Realtime ● UNIX vs Internet domain ● Eventfd ● POSIX message queues ● Futexes ● POSIX shared memory ● Record locks ● ● POSIX semaphores File locks ● ● Named, Unnamed Mutexes ● System V message queues ● Condition variables ● System V shared memory ● Barriers ● ● System V semaphores Read-write locks man7 .org 5 It helps to classify ● Pipes ● Shared memory mappings ● FIFOs ● File vs Anonymous ● Cross-memory attach ● Pseudoterminals ● proc_vm_readv() / proc_vm_writev() ● Sockets ● Signals ● Stream vs Datagram (vs Seq. packet) ● Standard, Realtime ● UNIX vs Internet domain ● Eventfd ● POSIX message queues ● Futexes ● POSIX shared memory ● Record locks ● ● POSIX semaphores File locks ● ● Named, Unnamed Mutexes ● System V message queues ● Condition variables ● System V shared memory ● Barriers ● ● System V semaphores Read-write locks man7 .org 6 It helps to classify ● Pipes ● Shared memory mappings ● FIFOs ● File vs Anonymous ● Cross-memoryn attach ● Pseudoterminals tio a ● proc_vm_readv() / proc_vm_writev() ● Sockets ic n ● Signals ● Stream vs Datagram (vs uSeq. -
Rocketbufs: a Framework for Building Efficient, In-Memory, Message-Oriented Middleware
RocketBufs: A Framework for Building Efficient, In-Memory, Message-Oriented Middleware Huy Hoang, Benjamin Cassell, Tim Brecht, Samer Al-Kiswany Cheriton School of Computer Science, University of Waterloo ABSTRACT ACM Reference Format: As companies increasingly deploy message-oriented middleware Huy Hoang, Benjamin Cassell, Tim Brecht, Samer Al-Kiswany. 2020. Rock- (MOM) systems in mission-critical components of their infrastruc- etBufs: A Framework for Building Efficient, In-Memory, Message-Oriented Middleware. In The 14th ACM International Conference on Distributed and tures and services, the demand for improved performance and func- Event-based Systems (DEBS ’20), July 13–17, 2020, Virtual Event, QC, Canada. tionality has accelerated the rate at which new systems are being ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3401025.3401744 developed. Unfortunately, existing MOM systems are not designed to take advantages of techniques for high-performance data center communication (e.g., RDMA). In this paper, we describe the design 1 INTRODUCTION and implementation of RocketBufs, a framework which provides Message-Oriented Middleware (MOM) systems, also often referred infrastructure for building high-performance, in-memory Message- to as publish/subscribe, message-queuing, or event-based systems, Oriented Middleware (MOM) applications. RocketBufs provides are a popular class of software designed to support loosely-coupled memory-based buffer abstractions and APIs, which are designed messaging in modern distributed applications. Examples of appli- to work efficiently with different transport protocols. Applications cations and services that utilize MOM systems include IBM’s cloud implemented using RocketBufs manage buffer data using input functions [29], the Apache OpenWhisk serverless framework [10], (rIn) and output (rOut) classes, while the framework is responsible the Hyperledger blockchain framework [7] and streaming media for transmitting, receiving and synchronizing buffer access. -
Analysis of Notification Methods with Respect to Mobile System Characteristics
Proceedings of the Federated Conference on DOI: 10.15439/2015F6 Computer Science and Information Systems pp. 1183–1189 ACSIS, Vol. 5 Analysis of notification methods with respect to mobile system characteristics Piotr Nawrocki ∗, Mikołaj Jakubowski † and Tomasz Godzik ‡ ∗AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Krakow, Poland e-mail:[email protected] †e-mail:[email protected] ‡e-mail:[email protected] Abstract—Recently, there has been an increasing need for most promise and therefore the purpose is to discern their secure, efficient and simple notification methods for mobile usefulness in the best way possible. systems. Such systems are meant to provide users with precise In addition to the protocols and methods above, we inves- tools best suited for work or leisure environments and a lot of effort has been put into creating a multitude of mobile tigated other solutions, such as the Apple push notification applications. However, not much research has been put at the or Line application which, for various reasons, were not same time into determining which of the available protocols considered further. The Apple push notification technology is a are best suited for individual tasks. Here a number of basic good solution, but it is proprietary, i.e. limited to Apple devices notification methods are presented and tests are performed for and that is why we decided to test more universal solutions the most promising ones. An attempt is made to determine which methods have the best throughput, latency, security and other first. There are also solutions (applications) that use their own characteristics. -
Unravel Data Systems Version 4.5
UNRAVEL DATA SYSTEMS VERSION 4.5 Component name Component version name License names jQuery 1.8.2 MIT License Apache Tomcat 5.5.23 Apache License 2.0 Tachyon Project POM 0.8.2 Apache License 2.0 Apache Directory LDAP API Model 1.0.0-M20 Apache License 2.0 apache/incubator-heron 0.16.5.1 Apache License 2.0 Maven Plugin API 3.0.4 Apache License 2.0 ApacheDS Authentication Interceptor 2.0.0-M15 Apache License 2.0 Apache Directory LDAP API Extras ACI 1.0.0-M20 Apache License 2.0 Apache HttpComponents Core 4.3.3 Apache License 2.0 Spark Project Tags 2.0.0-preview Apache License 2.0 Curator Testing 3.3.0 Apache License 2.0 Apache HttpComponents Core 4.4.5 Apache License 2.0 Apache Commons Daemon 1.0.15 Apache License 2.0 classworlds 2.4 Apache License 2.0 abego TreeLayout Core 1.0.1 BSD 3-clause "New" or "Revised" License jackson-core 2.8.6 Apache License 2.0 Lucene Join 6.6.1 Apache License 2.0 Apache Commons CLI 1.3-cloudera-pre-r1439998 Apache License 2.0 hive-apache 0.5 Apache License 2.0 scala-parser-combinators 1.0.4 BSD 3-clause "New" or "Revised" License com.springsource.javax.xml.bind 2.1.7 Common Development and Distribution License 1.0 SnakeYAML 1.15 Apache License 2.0 JUnit 4.12 Common Public License 1.0 ApacheDS Protocol Kerberos 2.0.0-M12 Apache License 2.0 Apache Groovy 2.4.6 Apache License 2.0 JGraphT - Core 1.2.0 (GNU Lesser General Public License v2.1 or later AND Eclipse Public License 1.0) chill-java 0.5.0 Apache License 2.0 Apache Commons Logging 1.2 Apache License 2.0 OpenCensus 0.12.3 Apache License 2.0 ApacheDS Protocol