165 research outputs found
Using Spectral Radius Ratio for Node Degree to Analyze the Evolution of Scale Free Networks and Small World Networks
In this paper, we show the evaluation of the spectral radius for node degree
as the basis to analyze the variation in the node degrees during the evolution
of scale-free networks and small-world networks. Spectral radius is the
principal eigenvalue of the adjacency matrix of a network graph and spectral
radius ratio for node degree is the ratio of the spectral radius and the
average node degree. We observe a very high positive correlation between the
spectral radius ratio for node degree and the coefficient of variation of node
degree (ratio of the standard deviation of node degree and average node
degree). We show how the spectral radius ratio for node degree can be used as
the basis to tune the operating parameters of the evolution models for
scale-free networks and small-world networks as well as evaluate the impact of
the number of links added per node introduced during the evolution of a
scale-free network and evaluate the impact of the probability of rewiring
during the evolution of a small-world network from a regular network.Comment: 8 pages, 8 figures, Second International Conference on Computer
Science and Information Technology, (COSIT-2015), Geneva, Switzerland, March
21-22, 201
Virtual Machines and Networks - Installation, Performance Study, Advantages and Virtualization Options
The interest in virtualization has been growing rapidly in the IT industry
because of inherent benefits like better resource utilization and ease of
system manageability. The experimentation and use of virtualization as well as
the simultaneous deployment of virtual software are increasingly getting
popular and in use by educational institutions for research and teaching. This
paper stresses on the potential advantages associated with virtualization and
the use of virtual machines for scenarios, which cannot be easily implemented
and/or studied in a traditional academic network environment, but need to be
explored and experimented by students to meet the raising needs and
knowledge-base demanded by the IT industry. In this context, we discuss various
aspects of virtualization - starting from the working principle of virtual
machines, installation procedure for a virtual guest operating system on a
physical host operating system, virtualization options and a performance study
measuring the throughput obtained on a network of virtual machines and physical
host machines. In addition, the paper extensively evaluates the use of virtual
machines and virtual networks in an academic environment and also specifically
discusses sample projects on network security, which may not be feasible enough
to be conducted in a physical network of personal computers; but could be
conducted only using virtual machines
A Review of the Energy Efficient and Secure Multicast Routing Protocols for Mobile Ad hoc Networks
This paper presents a thorough survey of recent work addressing energy
efficient multicast routing protocols and secure multicast routing protocols in
Mobile Ad hoc Networks (MANETs). There are so many issues and solutions which
witness the need of energy management and security in ad hoc wireless networks.
The objective of a multicast routing protocol for MANETs is to support the
propagation of data from a sender to all the receivers of a multicast group
while trying to use the available bandwidth efficiently in the presence of
frequent topology changes. Multicasting can improve the efficiency of the
wireless link when sending multiple copies of messages by exploiting the
inherent broadcast property of wireless transmission. Secure multicast routing
plays a significant role in MANETs. However, offering energy efficient and
secure multicast routing is a difficult and challenging task. In recent years,
various multicast routing protocols have been proposed for MANETs. These
protocols have distinguishing features and use different mechanismsComment: 15 page
Core-Intermediate-Peripheral Index: Factor Analysis of Neighborhood and Shortest Paths-based Centrality Metrics
We perform factor analysis on the raw data of the four major neighborhood and
shortest paths-based centrality metrics (Degree, Eigenvector, Betweeenness and
Closeness) and propose a novel quantitative measure called the
Core-Intermediate-Peripheral (CIP) Index to capture the extent with which a
node could play the role of a core node (nodes at the center of a network with
larger values for any centrality metric) vis-a-vis a peripheral node (nodes
that exist at the periphery of a network with lower values for any centrality
metric). We conduct factor analysis (varimax-based rotation of the
Eigenvectors) on the transpose matrix of the raw centrality metrics dataset,
with the node ids as features, under the hypothesis that there are two factors
(core and peripheral) that drive the values incurred by the nodes with respect
to the centrality metrics. We test our approach on a diverse suite of 12
complex real-world networks.Comment: 10 pages, 5 figure
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