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Software Defined Networking (SDN) - by A Harika

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This is an article written by A Harika under her BTech Honors program (2016-18) The main objective of SDN (Software defined networking) is to decouple the control plane from the data and consolidating the control logic of devices into dedicated centralized control. One  can leverage the features of SDN in finding the shortest path for the dynamically changing  topology by extracting the topology information from the SDN controller through rest API's.  Therefore the virtual machine migration in data centers becomes resilient for dynamically changing topologies.  Workflow -  Fig .1  Starting ODL Controller Fig. 2  . Creating topology and connecting to the ODL controller Fig. 3 Querying the topology using postman (REST API CLIENT) T he Northbound API's of SDN controller can be used to query the topology information. In this regard, one can use POSTMAN (REST API CLIENT) for the same. The follow ing GE...
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GROUP 12 : PC to PC file transfer using LiFi Technology

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This is an article written by, Bala Krishna Nair(S20180020201), J Krishna Chaitanya(S20180020214), K Samruth Kumar Reddy(S20180020217), U Yugander(S20180020256) under FCOMM project. Just imagine a situation where you are obsessed with your work in your PC in a work space with all the lights on and there is a light just above all the desks, as there is only a single WiFi router in the work space and as everyone in the work space are working, you and some others also facing the problem of poor signal, after struggling for sometime you feel like having a separate router only for you and that too right above your working desk, but you know that it is not possible, now I ask you how is the data coming from the WiFi router wireless to your PC? Basically WiFi uses waves in the radio frequency band of the electromagnetic spectrum between actual radio waves and microwaves. These electromagnetic waves carry the data, WiFi router is like an antenna that emits these ...
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Particle Swarm Optimization and Ant Colony Optimization -by B.Siri, M.Aamani, M.Aiswarya, Tanuja Ananthaneni(Group 15)

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Abstract: Optimization theory and methods have been applied in many fields to handle various practical problems. In light to the advancing computing systems, optimization techniques have become increasingly important and popular in different engineering applications. Swarm intelligence is one of the many fields which uses optimization to find effective solutions. In this project we attempt to understand two major optimization techniques in swarm intelligence namely Particle swarm optimization (PSO) and Ant colony optimization (ACO). We also try to compare the algorithms and find the probability of a node being a cluster head by using both the algorithms (PSO and ACO). Introduction: Everyone wants to use their resources as effectively as possible. Optimization is a process by which we bring out the best solution with least use of resource investment. It means to find a process to maximize or minimize the value of an objective function. there are many optimization techniques. A...
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