Mohit Chamania

Policy-based restoration in IP/optical transport networks

Restoration in transport networks is typically facilitated using reactive techniques at different layers, namely optical and IP restoration [1]. Optical restoration involves re-routing an existing optical connection (i.e., a lightpath) around a failure (e.g. link, amplifier, switch and transponder failures) in the optical layer. This strategy is efficient in terms of resource utilization, as backup resources are reserved dynamically after the failure and therefore are not blocked during normal operation. However, equipment reconfiguration and power equalization processes in the optical domain are relatively slow (order of seconds), and are thus not suitable for time critical services.

Artificial intelligence (AI) methods in optical networks: A comprehensive survey

Abstract Artificial intelligence (AI) is an extensive scientific discipline which enables computer systems to solve problems by emulating complex biological processes such as learning, reasoning and self-correction. This paper presents a comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks. The use of AI-based techniques is first studied in applications related to optical transmission, ranging from the characterization and operation of network components to performance monitoring, mitigation of nonlinearities, and quality of transmission estimation. Then, applications related to optical network control and management are also reviewed, including topics like optical network planning and operation in both transport and access networks. Finally, the paper also presents a summary of opportunities and challenges in optical networking where AI is expected to play a key role in the near future.

Adaptive advance reservation based inter-domain framework

There is a growing demand for end-to-end quality of service in present day multi-domain networks. IP/BGP is not equipped to support end-to-end QoS required by new upcoming services, and scalable QoS paradigms are required in lower layers to support future applications. Frequent fluctuations of available inter-domain resources inside a domain hinder the development of a scalable QoS routing paradigm. To address this, we propose a mechanism to create stable inter-domain topologies by employing adaptive advance reservation for inter-domain connections inside a domain. Advance reservation implies that capacity is pre-reserved for inter-domain traffic in the form of layer-2 tunnels, and simple policies are introduced to control the capacity of these tunnels. We study this proposal within the concept of the path computation element (PCE) framework and evaluate the performance of dynamic and adaptively advance-reserved inter-domain connections and topologies.

Engineering the first open source implementation of the multi-layer network topology databases

We engineered the first open-source network topology database. The innovative use of aspect-oriented programming with ITU-TG.805 based topology constructs, makes the implementation generic, scalable and easy to integrate across vendor and technology barriers.

Enriching Intent-based SDN to Ease Customer Service Management in Transport Networks

Intent-based Software-Defined Networking can automate mapping of customer services to transport services. We demonstrate this using a multi-layer orchestrator that provisions a complex customer service over an IP/Optical testbed. OCIS codes: (060.4250) Networks, (060.4258) Networks, network topology