V. Prakash

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Big data denotes data sets that are so large in such a way that traditional data processing applications are not enough to process it. The huge amount of sensor data contains both necessary as well as unnecessary information. In order to get the necessary information from this big data, there is a need for classification technique and also we use techniques(More)
In this paper, we describe the design and development of a simulation environment which is used to examine, validate and predict the performance of prioritised piggybacked token passing protocol for a wavelength division multiplexed (WDM) optical network. This simulation environment overcomes many of the limitations found with analytical models and(More)
Describes the design, development and use of a software architecture for a simulation environment to examine, validate and predict the performance of piggybacked token passing protocol for a wavelength division multiplexed (WDM) optical network. This simulation environment overcomes many of the limitations found with analytical models. A set of the(More)
This paper proposes a scheduling algorithm for time-slotted WDM broadcast-and-select optical networks. The algorithm is free from collision and supports a particular class of quality of service (QoS), namely constant bit rate (CBR). The running time complexity of the algorithm is O(Mlog 2 N) 1 , where M and N are the number of packets used for scheduling(More)
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