Corba Fundamentals   «Prev  Next»
Lesson 2 Where CORBA fits
Objective Basic conceptual understanding of CORBA

CORBA Distributed Software

When developers first encounter CORBA (Common Object Request Broker Architecture), it is easy to think of it as “just another network transport” – a way for component XYZ to talk with component ABC over the network.

CORBA certainly solves that problem, but its original design goal went further. CORBA defines a vendor-neutral framework for distributed objects: objects can live on different machines, run on different operating systems, and even be written in different programming languages, yet still collaborate as if they were part of one logical application.

The specification, standardized by the Object Management Group (OMG), provides:

  1. Object registration – making remote objects visible and discoverable.
  2. Location and activation – finding the target object and starting it if needed.
  3. Request handling – routing client requests to the correct object and operation.
  4. Error handling – reporting failures in a consistent, predictable way.
  5. Parameter marshalling – converting in-memory data into a form that can be sent across the network and reconstructed on the other side.

For C++ developers, the key idea is that CORBA gives you a standard object model across the network. Instead of manually managing sockets, byte buffers, and custom protocols, you work with interfaces defined in IDL (Interface Definition Language). Tools generate C++ stubs and skeletons so that calling a remote operation looks much like calling a local member function.

Today, modern systems often use HTTP APIs, REST/JSON, gRPC, or message queues. However, CORBA remains important background when you maintain legacy enterprise systems or study the evolution of distributed object frameworks. A good conceptual model of CORBA will help you recognize similar patterns in modern technologies.



Conceptual Understanding of What CORBA Provides

CORBA exists to support distributed software systems. Instead of placing all logic in a single executable, you can partition the system into collaborating components that run on different machines but still behave like one application.

Conceptually, imagine two roles:

  • a provider component that exposes a service, and
  • one or more client components that want to use that service.

The provider might manage data, perform complex calculations, or coordinate a business process. Client components invoke operations on the provider without needing to know where it runs, which operating system it uses, or how the network message is formatted. The CORBA infrastructure – the ORB (Object Request Broker) – handles those details.


Corba Fundamentals
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The basic idea centers around a software component that provides a service, such as:
  1. data retrieval,
  2. calculations,
  3. hotel reservation,
  4. service management metrics,
  5. supply chain coordination,
  6. mobile payment processing.
Other software components act as clients and invoke these services remotely. Distributed computing allows provider and client components to communicate reliably across a network while preserving a clean object-oriented interface.

From a C++ object-oriented perspective, you can think of CORBA as:

  • defining the interfaces (via IDL),
  • generating type-safe proxies in C++ and other languages, and
  • providing a runtime that routes calls and manages network details.

In modern designs, this conceptual model maps naturally onto newer technologies: service discovery, load balancing, API gateways, and distributed tracing all echo ideas that were explored in CORBA and its services.



Key CORBA Object Services

Beyond basic request/response, the CORBA specification defines a range of standardized Object Services. These services address recurring infrastructure concerns so application developers can focus on domain logic rather than low-level plumbing.

  1. Naming Service: Provides a directory-like structure where remote objects are registered under names. Clients can look up an object by name to obtain a reference and then invoke operations on it.
  2. Event Service: Implements a supplier-consumer communication model via an Event Channel. Suppliers push events into the channel, and consumers receive them. The service supports:
    • a push model, where suppliers control the flow of data, and
    • a pull model, where consumers request data when they need it.
    Suppliers and consumers typically interact with proxy objects obtained from the Event Channel, decoupling publishers from subscribers.
  3. Life Cycle Service: Defines conventions for creating, deleting, copying, and moving objects in a distributed environment. Clients can manage the life cycle of objects that may live on different hosts.
  4. Persistent Object Service: Provides a common interface for retaining and managing the persistent state of objects. It separates object identity and behavior from the storage mechanism used underneath.
  5. Transaction Service: Supports transactional coordination over distributed objects. The specification includes:
    • a mandatory flat transaction model, and
    • an optional nested transaction model.
    These services ensure atomicity, consistency, isolation, and durability across multiple CORBA objects.
  6. Concurrency Control Service: Coordinates access when multiple clients share the same resource. It provides locking and related mechanisms so that concurrent operations do not leave shared data in an inconsistent state.
  7. Relationship Service: Allows explicit representation of relationships between entities. The service introduces:
    • Relationship objects, representing the connection itself, and
    • Role objects, representing how a CORBA object participates in that relationship.
    Both interfaces can be extended with relationship-specific or role-specific attributes and operations.
  8. Externalization Service: Defines how to externalize (serialize) and internalize (deserialize) objects. An object’s state can be written to a data stream, stored (for example, in a file), transmitted over the network, and later reconstructed in another process or even another ORB.
  9. Query Service: Allows users and objects to perform declarative queries over collections of objects. Queries can reference attributes, invoke operations, and combine predicates, providing a higher-level view of object collections.
  10. Licensing Service: Offers a mechanism for producers to control how their intellectual property is used. Policies remain flexible: the service provides the plumbing, while individual vendors decide how to enforce licensing rules.
  11. Property Service: Lets you dynamically associate named values (properties) with objects outside the static IDL type system. This supports extensibility when you must attach additional metadata at runtime.
  12. Time Service: Provides:
    1. current time with an associated error estimate,
    2. ordering of events (which event happened first),
    3. time-based events via timers and alarms, and
    4. interval computation between events.
  13. Security Service: Defines a comprehensive set of security functions for distributed objects:
    1. Identification and authentication of principals (human users or autonomous objects) to confirm they are who they claim to be.
    2. Authorization and access control to decide whether a principal can access a given object based on identity, roles, groups, or security attributes.
    3. Security auditing so that security-relevant actions are traceable to the responsible user, even across chains of distributed calls.
    4. Secure communication between objects, often over untrusted networks, including integrity protection and optional confidentiality.
    5. Non-repudiation to provide proof of origin or receipt, preventing participants from falsely denying that they sent or received data.
    6. Security administration for managing policies, credentials, and related metadata.
  14. Object Trader Service: Acts as a “matchmaker” for services. Providers export descriptions of the services they offer, including object references and advertised attributes. Clients query the trader using desired characteristics and receive references to matching services.
  15. Object Collections Service: Defines generic collections such as sets, queues, stacks, lists, and trees. Collections provide a uniform way to group objects and apply operations related to the collection’s behavior rather than the contained object types.

These services illustrate the original ambition of CORBA: not just to move bytes over the network, but to standardize common infrastructure concerns for distributed object systems.


You are probably already familiar with applications that use other distributed computing models without CORBA. The most visible example is the World Wide Web, where browsers communicate with servers using HTTP and standards such as HTML and JSON. CORBA, by contrast, standardizes distributed objects and interfaces rather than documents or REST endpoints.

Historically, CORBA was developed by a consortium of vendors within the OMG so that tools and platforms from different companies could interoperate. The goal was to avoid single-vendor lock-in and provide a common object model across the industry.

  • Other Distributed Computing Models
    Programming directly with sockets is much lower-level than working with CORBA. A socket is simply an endpoint for communication; you must design the protocol, manage buffers, handle partial reads/writes, and deal with error conditions yourself. CORBA raises the abstraction level so that C++ developers work with objects and operations rather than raw network packets.


Remote Procedure Calls (RPC) Overview

Remote Procedure Calls (RPCs) were an important step between low-level sockets and richer object frameworks like CORBA. RPCs allow a process on one machine (the client) to invoke a procedure on another machine (the server) as if it were a local call.

The key contribution of RPCs is the abstraction of network communication. Instead of sending and receiving raw messages, developers write procedure calls. The RPC layer:

  • marshals parameters into a network-safe format,
  • sends a request message to the server,
  • invokes the corresponding procedure on the server, and
  • returns results (or errors) back to the client.

CORBA builds on this idea but extends it into a full distributed object model. Instead of calling remote procedures on a static interface, you invoke methods on distributed objects described by IDL. CORBA adds language interoperability, standardized services, and a richer object-oriented abstraction.

In object-oriented systems, the same idea appears as Remote Method Invocation (RMI). CORBA predates many modern frameworks but introduces patterns that are still relevant: interface-first design, location transparency, and automated marshalling and unmarshalling.

  • Data Access Libraries and Client/Server Development Tools
    Many database vendors and tool providers built proprietary client/server frameworks for distributed computing. These often work well within a single vendor’s ecosystem but are hard to integrate with other platforms. CORBA was designed to avoid this problem by providing a standardized, vendor-neutral way for distributed components to cooperate.

In modern architectures, HTTP APIs, gRPC, and message queues often replace CORBA in new projects. However, if you encounter a C++ system that still uses CORBA, best practice is to isolate CORBA at the system boundary: keep your domain model and business logic decoupled from CORBA details, use clear IDL contracts, and rely on modern C++ features (RAII, smart pointers, and type-safe interfaces) inside your application code.


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