Horizons in Computer Science Research

170 Pages·2015·10.593 MB·English

by  Thomas S. Clary

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HORIZONS IN COMPUTER SCIENCE

H C
ORIZONS IN OMPUTER
S R
CIENCE ESEARCH

V 10
OLUME

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HORIZONS IN COMPUTER SCIENCE

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HORIZONS IN COMPUTER SCIENCE

H C
ORIZONS IN OMPUTER
S R
CIENCE ESEARCH

V 10
OLUME

THOMAS S. CLARY
EDITOR

New York

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ISBN: (cid:28)(cid:26)(cid:27)(cid:16)(cid:20)(cid:16)(cid:25)(cid:22)(cid:23)(cid:25)(cid:22)(cid:16)(cid:26)(cid:26)(cid:22)(cid:16)(cid:21) (eBook)

ISSN: 2159-2012

Published by Nova Science Publishers, Inc. † New York

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CONTENTS

Preface vii

Chapter 1 Telecommunication Network Security 1
Muhammad Adeka, Simon Shepherd and Raed Abd-Alhameed

Chapter 2 Application of Cloud Computing in Preclinical Radiation 35
Treatment Planning
James Chun Lam Chow

Chapter 3 Computational Cryptography Based on Phase Encoding 49
and Intensity Pattern Superposition via Optics Theory
J. Apolinar Muñoz-Rodríguez

Chapter 4 An Agent -Based Optimized Cloud Service Discovery System 61
Manish Dixit, Jayendra Solanki, Akshay Jain
and Kaushik Shandilya

Chapter 5 Computing Network Reliability with Diameter Constraints: 69
Topologies and Instances with Polynomial-Time Complexity
Pablo Sartor

Chapter 6 A Survey on the Open Source Tools for Modelling 111
and Implementing Enterprise Application Integration Solutions
Rafael Z. Frantz, Rafael Corchuelo and Fabricia Roos-Frantz

Chapter 7 A Technology Proposal to Realise Enterprise Application 131
Integration
Rafael Z. Frantz, Rafael Corchuelo, Fabricia Roos-Frantz
and Sandro Sawicki

Index 153

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PREFACE

This book presents original results on the leading edge of computer science research.
Each article has been carefully selected in an attempt to present substantial research results
across a broad spectrum. Topics discussed include telecommunication network security;
application of cloud computing in preclinical radiation treatment planning; computational
cryptography based on phase encoding and intensity pattern superposition via optics theory;
an agent-based optimized cloud service discovery system; computing network reliability with
diameter constraints; a survey on the open source tools for modelling and implementing
enterprise application integration solutions; a technology proposal to realize enterprise
application integration.
After having been held for long in logical and physical isolation from other systems,
telecommunication networks and other elements of critical infrastructure are rapidly being
assimilated into the Internet, as presented in Chapter 1. This practically defines the ubiquity
of Internet as an indispensable ICT (Information and Communication Technology)
infrastructural facility in this age of globalisation. Nowadays, with mere clicks using a mouse,
systems including electrical grids and traffic systems are now accessible to users, regardless
of their location and state of equilibrium; whether static or mobile. As a research has
demonstrated, such interconnectivity is not without consequences. With the bandwidth
available to most cable modems, an adversary can launch attacks capable of denying voice
service to cellular telecommunications networks in major cities. In times of emergency, when
such networks are essential in saving lives, such attacks could be extremely dangerous.
Cloud computing refers to a set of technologies on computing and storage offered as
online services. This popular high performance computing system can greatly improve the
efficiency of dose calculation in radiation treatment planning using Monte Carlo simulation,
involving complex and intensive mathematical computation. In radiation dose calculation,
Monte Carlo method is a well-known benchmark to predict accurate and precise particle
transports in heterogeneous medium such as small-animal anatomy. The main drawback is
that the calculation is very time-consuming. In the past when only personal computers were
used, it was not practical to use Monte Carlo calculation because a high-resolution dose
calculation including a huge number of computed tomography voxels of over 1000 million
may take a day to complete a preclinical treatment plan. Chapter 2 will show how cloud
computing can perform preclinical treatment planning for small-animal radiation therapy
research. The background and algorithm of using cloud computing in treatment planning are
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viii Thomas S. Clary
reviewed. The performance of the computing system based on compute nodes is also
evaluated.
Chapter 3 presents a review of the author’s computer algorithms, which perform image
encryption and decryption based on optics. This technique is implemented based on
trigonometric algorithms and intensity superposition. The image to be encrypted is a
reflectance map, which is obtained from the light reflected by a scene. The encryption
procedure is carried out by encoding the image intensity as a phase in the argument of a
cosine function. This procedure generates a fringe pattern, which produces a random pattern
to obtain the secrete image. The decryption procedure is performed by recovering the phase
from the secrete image. This procedure is performed via intensity superposition and a discrete
sequence. Thus, the decryption retrieves the original image. The proposed cryptographic
technique is performed by computer and in physically via printed images. The viability of this
technique is described based on decryption quality and encryption robustness. This
computational performance represents a contribution in the field of visual cryptography. The
technique is tested with real scenes and its results are presented computationally and in
experimental form.
Cloud Computing is a technology that is being widely accepted by clients over other
prevailing services in the technology field. It is a landscape-altering technology with
numerous advantages, of which the success depends on a deep understanding of the risks
involved and why there is need to be aware of them. Customer service is key in this, as it is
becoming difficult to satisfy customer needs in a stressful environment. Therefore, efficient
tools are available to provide a faster discovery of optimal composition. Since cloud-to-
enterprise integration involves a complicated pattern, a method is required to smooth the path
of cloud-to-cloud integration along with cloud-to-enterprise amalgamation. These patterns of
integration become more complex as cloud computing becomes more pervasive. Chapter 4
presents a model for service discovery and delivery with provision for the user to consider the
issues like market reputation, personal usage experience, and a poor "after-services" record. If
the client discards the selected service by the algorithm, there is always the proposed model
search for the next optimum service from the samples. The model incorporates a blending of
the Tabu Search algorithm, utilized to evaluate constraint violation and service
requirement/availability matching.
Computing the reliability of a network with failing sites and links is a classical problem
that belongs to the NP-hard computational complexity class. The diameter-constrained
network reliability (DCR) is a generalization whose computation is NP-hard too. Several sub-
problems arise when imposing conditions on K (the set of sites that must keep connected), d
(the maximum allowable distance between them) or the network topology. Many keep being
NP-hard even under significant restrictions. Nevertheless, certain sub-problems can be solved
in polynomial time. In Chapter 5 the author’s survey the complexity of computing the DCR in
terms of |K| and d, and contribute a proof of polynomiality for the case where |K| is fixed and
d=2. We comment on cases not yet classified into complexity classes. We also introduce a
broad family of topologies and show that its source-terminal DCR can be computed in time
polynomial in the number of sites.
Enterprise Application Integration aims to provide methodologies and tools to integrate
the many heterogeneous applications of typical companies' software ecosystems. The reuse of
these applications within the ecosystem contributes to reducing software development costs
and deployment time. Studies have shown that the cost of integration is usually 5-20 times the
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Preface ix
cost of developing new functionalities. Many companies rely on Enterprise Service Buses
(ESBs) to develop their integration solutions. The first generation of ESBs focused on
providing many connectors and general-purpose integration languages whose focus is on
communications, not on the integration problem being solved. The second generation of
ESBs provides domain-specific languages inspired by enterprise integration patterns, which
makes it clear that this generation is tailored to focus on the integration problem. In Chapter 6
the author’s provide a survey of Camel, Spring Integration, and Mule, which are the most
successful open source second generation ESBs in the market. We report on them within a
homogeneous framework that provides a clear overview of the three technologies.
All over the years, enterprises have been accumulating a variety of applications in their
software ecosystem to support their business processes. As a result, a software ecosystem is
an heterogeneous set of IT assets (data and functionality) of the enterprise. Enterprise
Application Integration (EAI) discipline aims to provide language and tools to support the
development of integration solutions. Enterprises are always looking for how to optimise the
use of resources, which includes their IT assets. Thus, building EAI solutions that allow to
reuse actual data and functionality is mandatory to optimise the current or to provide support
for the new business processes that emerge in an enterprise. The need for building EAI
solutions has been pushing the development of languages and software tools, which can be
used to model, implement, and run integration solutions. In the EAI community, the support
for integration patterns is a trend, both in languages and software tools. In Chapter 7 the
author’s introduce a software tool to support the realisation of Enterprise Application
Integration. This tool is a Java-based software development kit that the author’s provide to
implement and run EAI solutions based on integration patterns. We have conducted a series
of experiments to evaluate the author’s proposal against real-world integration problems and
the results indicate that it is viable and can be used to solve real-world integration problems.

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