From: http://servicemix.apache.org/docs/5.0.x/user/index.html
Apache ServiceMix is a flexible, open-source integration container that unifies the features and functionality of
Apache ActiveMQ, Camel, CXF and Karaf into a powerful runtime platform for building integrations solutions.
The goal of this document is to introduce you to the different components that are part of Apache ServiceMix and explain
how and when they can be used together.
What is ServiceMix 4?
Apache ServiceMix is an open source ESB (Enterprise Service Bus) that combines the functionality of a Service Oriented Architecture (SOA) and the modularity. The adoption of a Service Bus allows to decouple the applicatons together and reduce dependencies. Messages are used to wired the applications (=services) and/or connectors to exchange information using different protocols or communications mode like FTP, HTTP, WebServices, ...
This new version of Apache ServiceMix is more than an evolution of the previous as the kernel of the platform has been completety rewritten and is designed top of the OSGI specification. Using OSGI framework brings a new important feature for SOA development : modularity. That means that we can handle classloading and application lifecycle differently between the components.
ServiceMix is lightweight and easily embeddable, has integrated Spring support and can be run at the edge of the network (inside a client or server), as a standalone ESB provider or as a service within another ESB. You can use ServiceMix in Java SE or Java EE application server.
Platform presentation
Apache ServiceMix is an distributed ESB built from the ground up on the Java Business Integration (JBI) specification JSR 208 and released under the Apache license. The goal of JBI is to allow components and services to be integrated in a vendor independent way, allowing users and vendors to plug and play.
ServiceMix uses ActiveMQ to provide remoting, clustering, reliability and distributed failover.
ServiceMix is completely integrated into Apache Geronimo, which allows you to deploy JBI components and services directly into Geronimo. ServiceMix is being JBI certified as part of the Geronimo project.
ServiceMix can be embedded into a JEE application server such as JBoss, Oracle Weblogic or IBM Websphere.
ServiceMix includes a complete JBI container supporting all parts of the JBI specification including:
-
NMR (Normalized Message Router)</para>
-
JBI Management MBeans
-
full support for the JBI deployment units with hot-deployment of JBI components
ServiceMix also provides a simple to use client API for working with JBI components and services.
ServiceMix includes many JBI components including HTTP, JMX, CXF, BPEL, etc.
OSGi for Dummies
OSGi technology is the dynamic module system for Java. The OSGi Service Platform provides functionality to Java that makes Java the premier environment for software integration and thus for development. Java provides the portability that is required to support products on many different platforms. The OSGi technology provides the standardized primitives that allow applications to be constructed from small, reusable and collaborative components. These components can be composed into an application and deployed.
The OSGi Service Platform provides the functions to change the composition dynamically on the device of a variety of networks, without requiring restarts. To minimize the coupling, as well as make these couplings managed, the OSGi technology provides a service-oriented architecture that enables these components to dynamically discover each other for collaboration. The OSGi Alliance has developed many standard component interfaces for common functions like HTTP servers, configuration, logging, security, user administration, XML and many more. Plug-compatible implementations of these components can be obtained from different vendors with different optimizations and costs. However, service interfaces can also be developed on a proprietary basis.
OSGi technology adopters benefit from improved time-to-market and reduced development costs because OSGi technology provides for the integration of pre-built and pre-tested component subsystems. The technology also reduces maintenance costs and enables unique new aftermarket opportunities because components can be dynamically delivered to devices in the field.
For more information, check out the OSGi Alliance website
Powered by Apache Karaf
Apache ServiceMix is based on Apache Karaf. Apache Karaf is a small OSGi-based runtime which provides a lightweight container onto which various components and applications can be deployed.
Here is a short list of features supported by the Karaf:
Hot deployment: Karaf supports hot deployment of OSGi bundles by monitoring jar files inside the $home/deploy directory. Each time a jar is copied in this folder, it will be installed inside the runtime. You can then update or delete it and changes will be handled automatically. In addition, the Karaf also supports exploded bundles and custom deployers (blueprint and spring ones are included by default).
Dynamic configuration: Services are usually configured through the ConfigurationAdmin OSGi service. Such configuration can be defined in Karaf using property files inside the $home/etc directory. These configurations are monitored and changes on the properties files will be propagated to the services.
Logging System: using a centralized logging back end supported by Log4J, Karaf supports a number of different APIs (JDK 1.4, JCL, SLF4J, Avalon, Tomcat, OSGi)
Provisioning: Provisioning of libraries or applications can be done through a number of different ways, by which they will be downloaded locally, installed and started.
Native OS integration: Karaf can be integrated into your own Operating System as a service so that the lifecycle will be bound to your Operating System.
Extensible Shell console: Karaf features a nice text console where you can manage the services, install new applications or libraries and manage their state. This shell is easily extensible by deploying new commands dynamically along with new features or applications.
Remote access: use any SSH client to connect to Karaf and issue commands in the console
Security framework based on JAAS
Managing instances: Karaf provides simple commands for managing multiple instances. You can easily create, delete, start and stop instances of Karaf through the console.
For more information, check out the Apache Karaf project page
JBI Container &Integration with OSGI
// TODO: write this bit
Normalized Message Router
The Normalized Message Router (NMR) is a general-purpose message bus used for communication between bundles in the OSGi container.
It's modeled after the Normalized Message Router (NMR) defined in the Java Business Integration (JBI) specification (http://www.jcp.org/en/jsr/detail?id=208).
It can be used to transport XML messages as well as other message body types, optionally augumented with headers and attachments.
For more information, check out the Using the Normalized Message Router User Guide
Apache Camel
Apache Camel is a powerful open source integration framework based on known Enterprise Integration Patterns with powerful Bean Integration.
Apache Camel lets you create the Enterprise Integration Patterns to implement routing and mediation rules in either a Java based Domain Specific Language (or Fluent API), via Spring based Xml Configuration files or via theScala DSL.
For more information, check out the Using Apache Camel in ServiceMix User Guide.
Services proposed
// TODO: write this bit
Message Broker : Apache ActiveMQ
Apache ServiceMix ships with an embedded instance of Apache ActiveMQout-of-the-box.
It is a fully functional Apache ActiveMQ message broker instance listening forTCP connections on port 61616 and STOMP connections on port 61613.
The default configuration for the Apache ActiveMQ message broker resides in the ServiceMix installation directory under the etc sub-directory. The ActiveMQ configuration file is named activemq-broker.xml. It's configured with reasonable default information like Persistence (KahaDB) and Producer Flow Control (essentially to make sure the broker does not run out of memory).
The configuration file also makes use of a reusable connection pool available to all OSGi bundles exposing a javax.jms.ConnectionFactory as a service for consumption. You can re-use this connection pool via tools such as spring-dm or blueprint.
The ActiveMQ message broker allows several components such as servicemix-cluster, camel-jms, camel-activemq, cxf-jms transport to be utilized without any additional configuration.
Transaction : Geronimo Transaction Manager
// TODO: write this bit
Routing and Mediation : Apache Camel
Web Services : Apache CXF
// TODO: write this bit
Web Container
// TODO: write this bit
SOA platform
// TODO: write this bit
Spring DM container
// TODO: write this bit
Blueprint OSGI container
// TODO: write this bit
EJB Container
// TODO: write this bit
Technology selection guide
ServiceMix 4 offers a set of different messaging and integration technologies:
-
ActiveMQ
-
Camel
-
CXF
-
JBI
-
NMR
Depending on the solution you're building, you want to select one or more of these technologies. Below are some guidelines to help you pick the right mix for your problem.
When to use Camel?
For any integration scenario, we recommend to start as simple as possible. Camel allows you to build routes for integration scenario's quickly and efficiently. You can deploy these routes directly on ServiceMix by deploying the plain Spring XML route or by packaging the route in an OSGi bundle.
As you need more (advanced) features, start combining Camel with ActiveMQ, CXF and/or the NMR
When to use ActiveMQ?
ActiveMQ is a JMS message broker, featuring support for clustering, pluggable persistence mechanism, master-slave configuration for failover, ...
ServiceMix 4 includes an instance of the ActiveMQ broker, which can be combined with Camel to provide easy-to-use message persistence and reliable messaging.
After setting up multiple instances of ActiveMQ (or ServiceMix 4) on the network, you can configure ActiveMQ clustering or master-slave mode to allow for a more reliable and scalable set-up.
When to use CXF?
CXF is an open-source services framework that you can use to suit your WS-* standards integration needs. It allows you to use common programming APIs like JAX-RS or JAX-WS for building your own services and to expose them to the outside world.
You can use CXF from within your Camel routes with the Camel CXF component.
When to use NMR?
The NMR provides the basic ESB features for ServiceMix 4. You can use it to connect multiple camel routes in a lightweight way. It can also be used as a common transport on which you can add container-level auditing by registering your own ExchangeListener implementation.
When to use JBI?
We still support JBI 1.0 in ServiceMix 4 so you can leverage your previous investments and move your existing JBI artifacts from ServiceMix 3 to the new container with no/minimal changes before migrating them to use Camel and/or CXF directly. For new projects, you should consider JBI deprecated and always use Camel and/or CXF inside ServiceMix instead.
more info see: http://servicemix.apache.org/docs/5.0.x/index.html
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内容概要:本文详细介绍了粒子群优化(PSO)算法与3-5-3多项式相结合的方法,在机器人轨迹规划中的应用。首先解释了粒子群算法的基本原理及其在优化轨迹参数方面的作用,随后阐述了3-5-3多项式的数学模型,特别是如何利用不同阶次的多项式确保轨迹的平滑过渡并满足边界条件。文中还提供了具体的Python代码实现,展示了如何通过粒子群算法优化时间分配,使3-5-3多项式生成的轨迹达到时间最优。此外,作者分享了一些实践经验,如加入惩罚项以避免超速,以及使用随机扰动帮助粒子跳出局部最优。 适合人群:对机器人运动规划感兴趣的科研人员、工程师和技术爱好者,尤其是有一定编程基础并对优化算法有初步了解的人士。 使用场景及目标:适用于需要精确控制机器人运动的应用场合,如工业自动化生产线、无人机导航等。主要目标是在保证轨迹平滑的前提下,尽可能缩短运动时间,提高工作效率。 其他说明:文中不仅给出了理论讲解,还有详细的代码示例和调试技巧,便于读者理解和实践。同时强调了实际应用中需要注意的问题,如系统的建模精度和安全性考量。
KUKA机器人相关资料
内容概要:本文详细探讨了光子晶体中的束缚态在连续谱中(BIC)及其与轨道角动量(OAM)激发的关系。首先介绍了光子晶体的基本概念和BIC的独特性质,随后展示了如何通过Python代码模拟二维光子晶体中的BIC,并解释了BIC在光学器件中的潜在应用。接着讨论了OAM激发与BIC之间的联系,特别是BIC如何增强OAM激发效率。文中还提供了使用有限差分时域(FDTD)方法计算OAM的具体步骤,并介绍了计算本征态和三维Q值的方法。此外,作者分享了一些实验中的有趣发现,如特定条件下BIC表现出OAM特征,以及不同参数设置对Q值的影响。 适合人群:对光子晶体、BIC和OAM感兴趣的科研人员和技术爱好者,尤其是从事微纳光子学研究的专业人士。 使用场景及目标:适用于希望通过代码模拟深入了解光子晶体中BIC和OAM激发机制的研究人员。目标是掌握BIC和OAM的基础理论,学会使用Python和其他工具进行模拟,并理解这些现象在实际应用中的潜力。 其他说明:文章不仅提供了详细的代码示例,还分享了许多实验心得和技巧,帮助读者避免常见错误,提高模拟精度。同时,强调了物理离散化方式对数值计算结果的重要影响。
内容概要:本文详细介绍了如何使用C#和Halcon 17.12构建一个功能全面的工业视觉项目。主要内容涵盖项目配置、Halcon脚本的选择与修改、相机调试、模板匹配、生产履历管理、历史图像保存以及与三菱FX5U PLC的以太网通讯。文中不仅提供了具体的代码示例,还讨论了实际项目中常见的挑战及其解决方案,如环境配置、相机控制、模板匹配参数调整、PLC通讯细节、生产数据管理和图像存储策略等。 适合人群:从事工业视觉领域的开发者和技术人员,尤其是那些希望深入了解C#与Halcon结合使用的专业人士。 使用场景及目标:适用于需要开发复杂视觉检测系统的工业应用场景,旨在提高检测精度、自动化程度和数据管理效率。具体目标包括但不限于:实现高效的视觉处理流程、确保相机与PLC的无缝协作、优化模板匹配算法、有效管理生产和检测数据。 其他说明:文中强调了框架整合的重要性,并提供了一些实用的技术提示,如避免不同版本之间的兼容性问题、处理实时图像流的最佳实践、确保线程安全的操作等。此外,还提到了一些常见错误及其规避方法,帮助开发者少走弯路。
内容概要:本文探讨了分布式电源(DG)接入对9节点配电网节点电压的影响。首先介绍了9节点配电网模型的搭建方法,包括定义节点和线路参数。然后,通过在特定节点接入分布式电源,利用Matlab进行潮流计算,模拟DG对接入点及其周围节点电压的影响。最后,通过绘制电压波形图,直观展示了不同DG容量和接入位置对配电网电压分布的具体影响。此外,还讨论了电压越限问题以及不同线路参数对电压波动的影响。 适合人群:电力系统研究人员、电气工程学生、从事智能电网和分布式能源研究的专业人士。 使用场景及目标:适用于研究分布式电源接入对配电网电压稳定性的影响,帮助优化分布式电源的规划和配置,确保电网安全稳定运行。 其他说明:文中提供的Matlab代码和图表有助于理解和验证理论分析,同时也为后续深入研究提供了有价值的参考资料。