Design and Implementation
of an Object-Oriented Operating System
-- Pinaki Chakraborty
Operating systems constitute an important class of software that forms the basis for proper functioning of all other software. This paper is a commentary on the design and implementation of a new object-oriented operating system. A microkernel-based architecture has been followed to develop the operating system. The operating system has a modular and stratified design with five distinct layers comprising system components and application programs. The design of this operating system extends the concept of the reincarnation server and introduces the concept of verbose server. All important entities in the operating system have been modeled as objects of suitably designed classes. The standard objectoriented programming techniques like abstraction, inheritance, delegation and polymorphism have been used to obtain an efficient implementation. The operating system supports a character user interface and a simple graphical user interface. A preliminary testing of the behavior of the operating system has been carried out and the results have been found to be satisfactory.
© 2013 IUP. All Rights Reserved.
Innovative ICT Through Cloud Computing
--Harman Preet Singh, Arvind Bhisikar and Jitendra Singh
Cloud computing has emerged as a revolutionary paradigm through which organizations can optimize their Information and Communication Technology (ICT) investments. In cloud computing, ICT resource requirement can be adjusted easily and quickly in response to changes in demand. It is a scalable virtualized development platform that has the potential to provide pay-per-use services to customers over the Internet/network by deploying hardware and software resources. In this paper, the evolution of cloud computing is traced in 10 phases, starting from the development of calculating machine in 1623. An ICT model for cloud computing has been presented. In order to leverage the benefits of cloud computing successfully, a SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis of cloud computing is carried out. The paper also presents the details of cloud computing innovative applications in various organizations. Lastly, a hybrid cloud computing model for Small and Medium Enterprises (SMEs) operating in the developing countries is proposed. The results obtained for the hybrid cloud model demonstrated the feasibility of the model. It appears that the research base in cloud computing and hybrid model in particular is strong and possesses potential to help in the development of effective industrial applications. However, a proper need-benefit analysis should be carried out to hedge the restrictions and challenges faced by cloud computing.
© 2013 IUP. All Rights Reserved.
Performance Analysis of VoIP and
Voice over MPLS Networks
-- J Faritha Banu and V Ramachandran
The emerging demands of multimedia communications in Internet or intranet forces the Internet service providers to provide predictable or even guaranteed Quality of Service (QoS). The major critical issue for network researchers and service providers is how to provide high quality of communication services with limited bandwidth capacity. This study addresses various issues related to Voice over IP (VoIP) and voice over MPLS networks with IP QoS techniques, and provides a performance comparison. The simulation results reported identify the pros and cons of the two networks and find the best suitable service to provide guaranteed QoS for voice transmission.
© 2013 IUP. All Rights Reserved.
A Neural Network Approach
for Cardiac Arrhythmia Classification
--R Ganesh Kumar and Y S Kumaraswamy
Rapid or slow heartbeats cause irregular rhythms resulting in Cardiac Arrhythmia, which is assessed by electrocardiogram (ECG). There are various types of arrhythmia and its detection is relevant to heart disease diagnosis. Automatic arrhythmia ECG assessment is a wellresearched area. This paper investigates ECG classification using soft computing techniques to classify arrhythmia type through the use of RR interval. Discrete Cosine Transform (DCT) is used to extract features from the time series ECG data using the distance between RR waves. The extracted beat RR interval is used as a feature extracted in the frequency domain and classified using Multi-Layer Perceptron Neural Network (MLP –NN), and proposed Feed Forward Neural Network (FNN) experiments were conducted through the MIT-BIH arrhythmia database.
© 2013 IUP. All Rights Reserved.
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