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Full-Text Articles in Computer Engineering

Cloud Computing: Strategies For Cloud Computing Adoption, Faith J. Shimba Dec 2010

Cloud Computing: Strategies For Cloud Computing Adoption, Faith J. Shimba

Faith Joel Shimba

The advent of cloud computing in recent years has sparked an interest from different IT stakeholders. This is a result of the new economic model for the IT department that cloud computing promises. The model promises to remove the need for heavy investment for limited IT resources towards renting IT resources and paying based on usage. Although, the adoption of cloud computing promises various benefits to organizations, a successful adoption requires an understanding of different dynamics and expertise in diverse domains. Currently there are inadequate guidelines for adoption and this book proposes a roadmap for cloud computing adoption called ROCCA. …


Software Engineering Issues For Mobile Application Development, Tony Wasserman Oct 2010

Software Engineering Issues For Mobile Application Development, Tony Wasserman

Tony Wasserman

This paper provides an overview of important software engineering research issues related to the development of applications that run on mobile devices. Among the topics are development processes, tools, user interface design, application portability, quality, and security.


An Introduction To Virus Scanners, Umakant Mishra Aug 2010

An Introduction To Virus Scanners, Umakant Mishra

Umakant Mishra

The main functions of an anti-virus program are, (i) Virus prevention and file protection, (ii) Virus scanning and detection, (iii) Removing virus from infected files, and (iv) Recovering damaged files and objects.

An anti-virus program employs various methods to detect and remove viruses. The two popular methods of detecting viruses are signature scanning and behavior monitoring. However each of these methods has its strengths and weaknesses.

As the detection gets more sophisticated so are the virus programmers. The virus programmers also try to go one step beyond the anti-virus mechanism and create intelligent viruses which pose more and more difficult …


An Introduction To Computer Viruses, Umakant Mishra Aug 2010

An Introduction To Computer Viruses, Umakant Mishra

Umakant Mishra

The computer virus is a problem to computer users at all levels including students, home users, corporate users, system administrators, corporate managers and even the anti-virus manufacturers. The viruses are written by people with malefic intentions to trouble the innocent users.

There are many types of viruses are boot sector viruses, file viruses, worms, Trojan horses, macro viruses etc. Each of these has many different variants. The older viruses were transmitting through floppies. Some older viruses like boot sector viruses are very rare nowadays as nobody boots from floppies. The modern day viruses transmit more through networks and emails. Macro …


Methods Of Virus Detection And Their Limitations, Umakant Mishra Aug 2010

Methods Of Virus Detection And Their Limitations, Umakant Mishra

Umakant Mishra

An anti-virus program typically employs various strategies to detect and remove viruses. The popular methods of detecting virus are signature scanning, heuristic scanning and integrity checking. However each of these methods has its own strengths and weaknesses.

Signature scanning (or searching of known virus patterns) is the most common method of virus detection. But it cannot detect viruses whose signatures are not available in the virus database. The other popular method is to use a heuristic algorithm to find viruses based on common behaviors. This method can be complex, but it has the ability to detect unknown or new viruses. …


A Graduate Education In Software Management And The Software Business For Mid-Career Professionals, Ray Bareiss, Gladys Mercier Feb 2010

A Graduate Education In Software Management And The Software Business For Mid-Career Professionals, Ray Bareiss, Gladys Mercier

Ray Bareiss

Given the unique nature of the software business, the faculty of Carnegie Mellon University’s Silicon Valley campus concluded that mid-career software professionals would be better served by a tailored master’s degree focusing on software management and more broadly on the business of software than by a typical MBA. Our software management master’s program integrates business, technical, and soft skills to prepare our students for technical leadership in their current companies or in entrepreneurial ventures. Our initial program built on the strengths of Carnegie Mellon’s world-class software engineering education. We targeted students working in large companies, engaged in large-scale enterprise software …


Coaching Via Cognitive Apprenticeship, Ray Bareiss, Martin Radley Feb 2010

Coaching Via Cognitive Apprenticeship, Ray Bareiss, Martin Radley

Ray Bareiss

At Carnegie Mellon’s Silicon Valley campus we employ a learn by- doing educational approach in which nearly all student learning, and thus instruction, is in the context of realistic, team based projects. Consequently, we have adopted coaching as our predominant teaching model. In this paper we reflect on our experience with the nature of teaching by coaching using a framework derived from Cognitive Apprenticeship, and explain how we employ the techniques it suggests in our teaching. We also discuss a range of instructional tensions that arise in teaching by coaching and present a survey of student attitudes regarding the effectiveness …


An Mpi-Cuda Implementation For Massively Parallel Incompressible Flow Computations On Multi-Gpu Clusters, Dana A. Jacobsen, Julien C. Thibault, Inanc Senocak Jan 2010

An Mpi-Cuda Implementation For Massively Parallel Incompressible Flow Computations On Multi-Gpu Clusters, Dana A. Jacobsen, Julien C. Thibault, Inanc Senocak

Inanc Senocak

Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose parallel computing platforms that can accelerate simulation science applications tremendously. While multi-GPU workstations with several TeraFLOPS of peak computing power are available to accelerate computational problems, larger problems require even more resources. Conventional clusters of central processing units (CPU) are now being augmented with multiple GPUs in each compute-node to tackle large problems. The heterogeneous architecture of a multi-GPU cluster with a deep memory hierarchy creates unique challenges in developing scalable and efficient simulation codes. In this study, we pursue mixed MPI-CUDA implementations and investigate three strategies to …