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Providing adequate computing lab support for Management Information Systems (MIS) and Computer Science (CS) programs is a perennial challenge for most academic institutions in the US and abroad. Factors, such as lack of physical space, budgetary constraints, conflicting needs of different courses, and rapid obsolescence of computing technology, precipitate this challenge. While introductory computing courses can be adequately supported through general labs, advanced computing courses typically require dedicated labs. Normally, however, even a dedicated lab must simultaneously support multiple courses with diverse support requirements. Consequently, in designing dedicated computing labs, versatility and flexibility of the lab must be the prime consideration. Drawing on the insights gained from developing a dedicated lab, the authors present a model for developing a versatile, flexible lab to support computer network courses. The proposed model entails a modular design approach which offers ease of management, configuration and upgrading of the lab by decoupling the lab functions into layers. The layered design divides the lab into four management layers: (1) wiring layer, (2) networking layer, (3) server systems layer, and (4) support procedures layer. Each layer offers a versatile and configurable design and serves as a foundation for the next higher layer. "Wiring layer" minimizes the wire configuration efforts and enhances wiring flexibility by utilizing patch panels at the computer desks and the racks housing networking devices, and sufficient underground wiring between desks and racks. The underground wiring allows for network, telephone and serial cable connections as needed. "Network layer" builds LANs, subnets and internets with minimal configuration effort through a careful arrangement of network hubs, switches, routers, and firewalls. The network layer distinguishes between permanent networks needed in the lab, called pre-configured networks, and the networks that are assembled and disassembled by the students, called configurable networks. The network address allocation schemes for different types of network experiments are also discussed. "Server systems layer" covers two categories of servers: pre-configured servers and configurable servers. Pre-configured servers, such as DNS and file servers, are production servers that support network experiments. Configurable servers are hardware platforms that can be configured as needed according to experimental needs. The last layer, "procedural layer", provides policies, guidelines and operational procedures that are needed for proper utilization of the lab space and the equipment. The paper also illustrates the application of the proposed model through the design and configuration of the computing lab for network courses underlying this case study. (Contains 6 figures and 2 tables.)

Budgetary constraints are almost a constant challenge confronted by academia. In the case of small colleges and universities, these constraints become even more pronounced when these institutions enhance their programs to meet the needs of their constituents. While in some cases program enhancement might simply be accomplished by hiring new faculty members; in others, it might require additional resources. This is especially true for computer science or management information systems programs; the changes or enhancements in these programs also mean additional computing lab support. However, budgetary constraints, lack of physical space to house the labs, conflicting needs of different courses, and rapid obsolescence of technology only exacerbate this dilemma. Needless to say, overcoming these challenges requires some pragmatic thinking and approaches. Based on their own experiences in dealing with these same challenges, the authors suggest the following guidelines for configuring computing labs that are cost-effective, flexible and versatile: (1) Categorize computing courses, based on their computing support requirement, into groups such as general computing, advanced computing, and special projects courses; (2) As far as possible, support general computing courses through open/general labs and, thereby, minimize the demand for dedicated/special computing labs; (3) The advanced computing courses will likely require dedicated labs, due to unique software and/or hardware requirements. For most institutions, creating a dedicated lab for every course is infeasible. Consequently, design a lab that can support multiple courses by use of removable hard drives and flexible lab configurations; (4) If the physical space is not available to house a dedicated computer lab, a classroom may be networked into an isolated laptop-computing lab. To further enhance the flexibility of this lab, it may be connected to the institution's computing networks through wireless network configuration; (5) For special projects, develop a dedicated computing lab with highly flexible configuration and infrastructure to accommodate the unique computing requirements of different projects. Furthermore, this lab should mimic the network and organizational configuration of a typical organization to impart real-life flavor to special projects; and (6) With proper supervision, policies and procedures, student personnel may be employed to maintain and manage specialized labs. This will help contain personnel costs and at the same time furnish valuable experience to the student personnel. These guidelines should help small U.S., as well as international, institutions that are planning or are in the process of configuring computing labs to support their computer science and management information systems programs. (Contains 2 figures.)

The technology of self-driving cars will inevitably change the industry of taxis and ride-sharing cars that provide important commercial ground transportation services to travelers, tourists and local residents. There is no doubt that new techniques, business models and strategies will be needed to follow the use of selfdriving cars. This paper focuses on a forward-looking research topic that route commercial, vacant self-driving vehicles so that the values to both businesses and passengers are improved. Importance of solutions to the new problem is discussed. We also propose a novel design which simulates behaviors of ants in nature to the vehicles. The goal of the system is to obtain an overall balance between the demands of using the services from the passengers and availability of the vehicles in all service areas. The system not only uses historical data to make decisions, it also responds promptly for demands appeared dynamically. [ABSTRACT FROM AUTHOR]

The demand for on-line courses continues to rise in academia because (1) on-line courses remove time barriers that would otherwise restrict a student from pursuing academic endeavors, (2) they remove the distance barriers for academia in reaching potential students and (3) they can to some extent alleviate budgetary and physical constraints on the academia in imparting education to students. The on-line instruction mode rather easily accommodates courses in some disciplines such as history, sociology, and political science. However, it posits significant adoption challenges for courses that require hands-on computing experimentation such as computer networking, system administration, web application development and database administration. Nevertheless, given the demand for on-line courses, there is a need to devise strategies that would allow students to conduct computing experiments through remote access. This paper presents an approach to transform traditional computer labs into a virtual lab environment. Such transformation allows students to remotely conduct experiments that involve software and hardware interaction. The methodology presented here can be applied to a large number of computing courses encountered in Management Information Systems and Computer Sciences disciplines. [ABSTRACT FROM AUTHOR]