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Elastic optical networks are prone to spectrum fragmentation, resulting in poor resource utilization and often higher blocking probability. To overcome the spectrum fragmentation, a defragmentation (DF) of the spectrum can be applied by reconfiguring some or all active connections. However, reconfiguration is generally not desirable, as it can interrupt the services of the existing connections. In...
Transfer learning framework is designed to use previously acquired knowledge to solve a new but somewhat related task (like humans do). Non-availability of sufficient and relevant information in building a learning model is a major bottleneck in this research area. However, such models are highly susceptible to negative transfer learning (NTL) during transferral of knowledge due to the hesitancy in...
Generally, an elastic optical network (EON) under a dynamic connection (non-uniform bandwidth) set up and termination scenario leads to spectrum fragmentation, and results in higher blocking probability. To overcome this problem, a defragmentation of the spectrum can be applied by reconfiguring some or all connections in the network. However, reconfiguration can interrupt the services of the existing...
Ontologies are an essential component of the Semantic Web and in recent times, the significance of modular ontologies is largely increasing due to their superiority over monolithic ontologies. Out of the multiple modularization choices available, the one which guarantees best system design and performance should be applied. Some attributes of modular structure such as cohesion and coupling, determine...
The Software as a Service model of Cloud Computing offers economies of scale through the pay per use model; however, it renders the modern software very different from traditional software. Hence, there is a need to adapt Software Engineering approach in a manner that will make the development process and delivery of Software as a Service more efficient and of high quality. After performing literature...
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