Distributed object

The term distributed objects usually refers to software modules that are designed to work together, but reside either in multiple computers connected via a network or in different processes inside the same computer. One object sends a message to another object in a remote machine or process to perform some task. The results are sent back to the calling object.

The term may also generally refer to one of the extensions of the basic object concept used in the context of distributed computing, such as replicated objects or live distributed objects.

• Replicated objects are groups of software components (replicas) that run a distributed multi-party protocol to achieve a high degree of consistency between their internal states, and that respond to requests in a coordinated manner. Referring to the group of replicas jointly as an object reflects the fact that interacting with any of them exposes the same externally visible state and behavior.
• Live distributed objects (or simply live objects)^[1] generalize the replicated object concept to groups of replicas that might internally use any distributed protocol, perhaps resulting in only a weak consistency between their local states. Live distributed objects can also be defined as running instances of distributed multi-party protocols, viewed from the object-oriented perspective as entities that have distinct identity, and that can encapsulate distributed state and behavior.

See also Internet protocol suite.

Local vs Distributed Objects

Local and distributed objects differ in many respects.^[2] Here are some of them:

1. Life cycle : Creation, migration and deletion of distributed objects is different from local objects
2. Reference : Remote references to distributed objects are more complex than simple pointers to memory addresses
3. Request Latency : A distributed object request is orders of magnitude slower than local method invocation
4. Object Activation : Distributed objects may not always be available to serve an object request at any point in time
5. Parallelism : Distributed objects may be executed in parallel.
6. Communication : There are different communication primitives available for distributed objects requests
7. Failure : Distributed objects have far more points of failure than typical local objects
8. Security : Distribution makes them vulnerable to attack.

Examples

Distributed objects are implemented in Objective-C using the Cocoa API with the NSConnection class and supporting objects.

Distributed objects are used in Java RMI.

CORBA lets one build distributed mixed object systems.

DCOM is a framework for distributed objects on the Microsoft platform.

DDObjects is a framework for distributed objects using Borland Delphi.

JavaSpaces is a Sun specification for a distributed, shared memory (spaces based)

Pyro is a framework for distributed objects using the Python programming language.

Distributed Ruby (DRb) is a framework for distributed objects using the Ruby programming language.

References

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