Jini, a service-oriented architecture, provides a programming model that extends Java technology. Its main aim is to create secure, distributed systems that consist of networks of well-functioning services. It helps in building scalable and flexible networks, which are essential for distributed computing scenarios. Jini is a technology that makes resources over a network look like local resources. In simpler words, it helps devices running Java Virtual Machine establish network connections quickly when needed.
Main Goals of Jini
The main goals of Jini are to develop scalable, flexible and evolvable dynamic computing environments, and shift the focus of distributed computing from disk-oriented approaches to network-adaptive approaches.
How Does Jini simplify Distributed Systems?
Jini provides a flexible infrastructure for services on a network and helps create spontaneous interactions between clients that use these services, regardless of their hardware or software implementation. It is implemented in Java programming language and is similar to Java remote method call, but more advanced.
History of Jini
Jini was introduced by Sun Microsystems in July 1998, and it includes a set of specifications along with a starter kit that consists of the implementation of the Jini technology. Both are released under the Apache 2.0 open-source license.
What is the use of Jini?
Jini helps build scalable and flexible networks that are required for distributed computing scenarios. It creates secure, distributed systems that consist of networks of well-functioning services.
Is Jini still used?
Although Jini is not widely used today, its core concepts can still be found in various technologies such as Apache River, which is an open-source implementation of Jini technology.
Jini is a technology that provides a flexible infrastructure for services on a network and helps in creating flexible, scalable and complex distributed systems. Although it may not be as popular as it once was, its concepts can still be found in various technologies today. It has been valuable in building distributed computing systems that are adaptable, evolvable and scalable.