Scalable Web Server Clustering Technologies

The exponential growth of the Internet, coupled with the increasing popularity of dynamically generated content on the World Wide Web, has created the need for more and faster Web servers capable of serving the over 100 million Internet users. Server clustering has emerged as a promising technique to build scalable Web servers. In this article we examine the seminal work, early products, and a sample of contemporary commercial offerings in the field of transparent Web server clustering. We broadly classify transparent server clustering into three categories.

Comparison of Video Laryngoscopy Technologies

Indirect laryngoscopy allows practitioners to “see around the corner” of a patient’s airway during intubation. Inadequate airway management is a major contributor to patient injury, morbidity and mortality. The purpose of the present study was to evaluate the video quality of commercially available video laryngoscopy systems. A team of four investigators at the University of Nebraska at Omaha and the Peter Kiewit Institute performed intubation simulations using a number of video laryngoscopy systems. Testing was done with a Laerdal Difficult Airway Manikin (Laerdal Medical Corp., Wappingers Falls, NY) in a setting that simulated difficult airways, adverse lighting conditions and various system configurations (e.g., maximizing screen contrast, minimizing screen brightness, maximizing screen color hue, etc.).

Sofya: Supporting Rapid Development of Dynamic Program Analyses for Java

Dynamic analysis is an increasingly important means of supporting software validation and maintenance. To date, developers of dynamic analyses have used low-level instrumentation and debug interfaces to realize their analyses. Many dynamic analyses, however, share multiple common high-level requirements, e.g., capture of program data state as well as events, and efficient and accurate event capture in the presence of threading. We present SOFYA – an infra-structure designed to provide high-level, efficient, concurrency-aware support for building analyses that reason about rich observations of program data and events. It provides a layered, modular architecture, which has been successfully used to rapidly develop and evaluate a variety of demanding dynamic program analyses. In this paper, we describe the SOFYA framework, the challenges it addresses, and survey several such analyses.

Working Experience and Librarians' Knowledge of Information and Communication Technologies (ICTs) in Nigerian University Libraries

This paper discuses the influence of librarians' years of working experience and sources of acquisition of ICTs' knowledge and skills. The study is based on 169 librarians working in thirteen university libraries in the universities of six states located in the South-South zone of Nigeria. The purpose of the paper is to find out if years of working experience has an effect on librarians' sources/means of acquisition of ICT knowledge and skills. The questionnaires used were answered by two categories of librarians. Those with longer years of experience – 16 years and above and those with fewer years of working experience. It was concluded that librarians with fewer years of working experience explore means of acquiring ICTs knowledge and skills more than librarians with more years of working experience. It was recommended that librarians with longer years of working experience develop more interest in sources through which they can acquire ICT knowledge and skills.

Information and Communication Technologies for Educational Development: The Case of Cybercafés at Obafemi Awolowo University, Ile-Ife, Nigeria

This study examines the use of Cybercafés/Internet resources and the evaluation of their usefulness. About eight Cybercafés located in the university community were used in this study. Questionnaires, interviews with the Cybercafé owners, staff and users as well as personal observations made during inspection of these cafés were used in this study. The data were analysed according to the background of the Internet users. The richness and high speed, accuracy, and authority were used by users to judge the quality of the Internet. Information such as the establishment of the café's facilities, membership and the future of the Cybercafés were also looked into. Finally, one can clearly see that the dominating impact of digital technology has crossed the Rubicon of controversy. The result of the survey shows that forty percent of the users learnt to use the internet by self instruction, thirty five percent learnt from colleagues or friends. Those in the sciences use the internet the most, the channel mostly used in obtaining information is the search engines. A large number of students, faculties and researchers make use of the internet in obtaining information. Many of those of those users make use of the Cybercafés in the university community.

JVM-based Techniques for Improving Java Observability

Observability measures the support of computer systems to accurately capture, analyze, and present (collectively observe) the internal information about the systems. Observability frameworks play important roles for program understanding, troubleshooting, performance diagnosis, and optimizations. However, traditional solutions are either expensive or coarse-grained, consequently compromising their utility in accommodating today’s increasingly complex software systems. New solutions are emerging for VM-based languages due to the full control language VMs have over program executions. Existing such solutions, nonetheless, still lack flexibility, have high overhead, or provide limited context information for developing powerful dynamic analyses. In this thesis, we present a VM-based infrastructure, called marker tracing framework (MTF), to address the deficiencies in the existing solutions for providing better observability for VM-based languages. MTF serves as a solid foundation for implementing fine-grained low-overhead program instrumentation. Specifically, MTF allows analysis clients to: 1) define custom events with rich semantics ; 2) specify precisely the program locations where the events should trigger; and 3) adaptively enable/disable the instrumentation at runtime. In addition, MTF-based analysis clients are more powerful by having access to all information available to the VM. To demonstrate the utility and effectiveness of MTF, we present two analysis clients: 1) dynamic typestate analysis with adaptive online program analysis (AOPA); and 2) selective probabilistic calling context analysis (SPCC). In addition, we evaluate the runtime performance of MTF and the typestate client with the DaCapo benchmarks. The results show that: 1) MTF has acceptable runtime overhead when tracing moderate numbers of marker events; and 2) AOPA is highly effective in reducing the event frequency for the dynamic typestate analysis; and 3) language VMs can be exploited to offer greater observability.