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Real-Time CORBA Next, we configure the list of protocols to use.
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//First, we create the protocol properties RTCORBA::ProtocolList plist; plist.length (1); plist[0].protocol_type = IOP::TAG_INTERNET_IOP; // IIOP plist[0].trans_protocol_props = tcp_properties; RTCORBA::ClientProtocolPolicy_ptr policy = rtorb->create_client_protocol_policy (plist);
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Unfortunately the configuration of protocol properties is only defined for TCP. This is mostly due to the lack of standardized PROTOCOL PLUGINS to allow the exchange of the protocol layer underneath the GIOP (General-Inter-ORB-Protocol). The GIOP defines the messages between a client and server and how they are marshaled. Besides the widelyused TCP PROTOCOL PLUG-IN (IIOP Internet-Inter-ORB-Protocol), other plug-ins supporting UDP or ATM are feasible. The Extensible Transport Framework specification, adopted in January 2004, addresses this. As soon as standardized PROTOCOL PLUG-INS are available, the standardization of protocol properties for such plug-ins becomes possible. Neither CORBA nor RT-CORBA make use of any reflection techniques to track QoS properties. This is left to the application layers above CORBA. Frameworks such as Quality Objects [Bbn02] implement QOS OBSERVER functionality: in Quality Objects the QOS OBSERVER is called QoS Tracker.
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13 Related Concepts, Patterns Technologies, and
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Related Concepts, Technologies, and Patterns
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The patterns in this book do not stand alone. There are several related technologies, concepts, and domains concerned with building distributed object middleware. Many of the best practices in these areas have already been captured in the form of patterns and pattern languages. While the detailed explanation of these is beyond the scope of this book, this chapter gives a brief overview of some of the important areas. We reference existing pattern material wherever possible. The figure on the next page shows the relationships of the Remoting Patterns to patterns from other domains, and acts as a guide to this chapter. Many of the related fields are already well captured by other pattern languages, so the Remoting Patterns act as glue to fill missing links between these patterns and pattern languages when applied to distributed object middleware or distributed application development. Specifically, the patterns for the internals of communication middleware, such as network communication, concurrency, and resource management, are fairly complete. Many patterns for orthogonal extensions, such as messaging, fault tolerance, scalability, and session management are currently documented by other authors. However, some domains, such as security or transactions in distributed systems, are not yet as well captured by patterns, though a security patterns book is in preparation, but was not available at the time of writing. Similarly, there is still work to be done regarding pattern languages for systems built on top of distributed object middleware. For example, so far only a few patterns are available for P2P systems, Grid computing, or aspect-oriented programming (AOP). It is quite natural for mature patterns to be missing in the latter cases, because patterns describe
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Related Concepts, Technologies, and Patterns established knowledge, and fields like P2P, Grid, or AOP are still emergent. We expect patterns for these fields to appear in the future.
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Server Component Patterns
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Fault Tolerance Patterns
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How to implement distributed components as an extension of a distributed object middleware How to modularize orthogonal concerns in remote invocations, such as transactions, logging, or security concerns
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Availability/ Scalability Patterns
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How to improve the availability and/or scalability of a distributed system
Remoting Patterns
How to realize a messaging middleware
Enterprise Integration Patterns
Sessions Pattern
How to maintain clientdependent state in a distributed system
How to efficiently and effectively handle resources, such as threads or memory, in a middleware POSA 3: Patterns for Resource Mangement
How to structure the overall architecture of the distributed middleware
How to implement networking and concurrency e.g. within the communication layer
POSA 1: A System of Patterns (e.g. Broker, Layers)
POSA 2: Patterns for Concurrent and Networked Objects
Concurrent Programming in Java Design Principles and Patterns
A System of Patterns for Concurrent Request Processing Servers
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Related patterns
Related patterns
In this section we provide a brief overview of patterns and pattern languages that are directly related to patterns in this book. Patterns for networking and concurrency Distributed object middleware follows two architectural patterns documented in POSA1 [BMR+96]: Broker, in terms of mediating object invocations between communication participants, and Layers, regarding the separation of responsibilities such as connection handling, marshaling, decomposition, and dispatching of invocations. Distributed object middleware operates on top of network protocols, such as TCP/ IP. It does not reinvent the wheel for this, but handles network connections and the inherent concurrency of networked communication using existing implementations and concepts. A number of patterns for networking and concurrency are documented in the following literature: POSA2 [SSRB00] contains many patterns that are used to implement distributed systems. The book describes many patterns that are relevant when applying the patterns in this pattern language. For example to implement CLIENT REQUEST HANDLERS and SERVER REQUEST HANDLERS, the following patterns should be considered: Reactor, Half-sync/Half-async, Leader/Followers, Monitor Object, and Active Object. Doug Lea s book Concurrent Programming in Java Design Principles and Patterns [Lea99] describes several concurrency patterns with a special focus on Java. Guarded Suspension serializes access to shared objects whose methods can only be executed when certain conditions hold true: the pattern can be used to serialize access to remote objects and other resources that are concurrently accessed. The Future pattern provides a generalized form of POLL OBJECT: it provides a Proxy that can be used to query for results that are computed asynchronously. The patterns in the paper A System of Patterns for Concurrent Request Processing Servers [GT03] documents several patterns for concurrent request handling in high-performance servers. Forking Server the typical structure of a SERVER REQUEST HANDLER in which one listener process/thread listens to the network port and forks a worker process/thread for each incoming request. The worker