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Programming telecommunication networks
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DOI：10.1109/65.620517.png)
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Abstract
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The recent move toward market deregulation and open competition has sparked a wave of serious introspection in the telecommunications service industry. Telecom providers and operators are now required to open up their primary revenue channels to competing industries. The competition for product differentiation increasingly depends on the level of sophistication, degree of flexibility, and speed of deployment of services that a future provider can offer. These factors in turn depend heavily on the flexibility of the software architecture in place in a provider's operational infrastructure. Within this context, we examine the service architecture of two major global communication networks - the Telephone Network and the Internet and explore their weaknesses and strengths. We discuss the realization of an open programmable networking environment based on a new service architecture for advanced telecommunication services that overcomes the limitations of the existing networks. Our approach to network programmability stems from two angles - one conceptual, the other implementational. In the first, we attempt to develop a service model-that is open and reflects the economic market structure of the future telecommunications service industry. We believe that investigating such a model will help clarify some of the pertinent issues confronting the telecommunications service industry today as it comes of age. Furthermore, we introduce an extended reference model for realizing the service marketplace and present it as a vehicle for creating multimedia services with QoS guarantees. In the second, we investigate the feasibility of engineering the reference model from an implementation standpoint. We describe a realization of the open programmable networking environment as a broadband kernel. Called xbind, the broadband kernel incorporates IP and CORBA technologies for signaling, management, and service creation, and ATM for transport. We address some of the important QoS, performance, scalability, and implementation issues, fully aware that our work has opened new vistas that call for additional research.
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