43612588
Priority-Based Internet Access Control for Fairness Improvement and Abuse Reduction
In this paper, we exploit a prioritized-service architecture and apply a priority based traffic control scheme to reduce abusive Internet access, improve fairness among users and study users' behavior under a prioritized service for Internet access. The Internet access by dormitory users of National Taiwan University (NTU) serves as a conveyer problem. There are two classes of service. The regular class has a volume quota for each user, which is designed to meet majority users' essential demands while limiting abusive usage of quality service. The custody class is lower in service priority with no volume quota limitation. Our mathematical models for design and analysis include individual and aggregate user demand models and a network performance model. The priority control scheme is implemented over an existing NTU dormitory network with additions of a QoS router, a meter reading server, an accounting server and a user interface server. The control leads to 48.9% reduction in average packet drop rate, 42.2% improvement in a fairness measure, reduction of abusive Internet access by 57.82% and 145.09% Internet access increase in majority users. Such results are quite consistent with predictions of our mathematical models.
44477744
Efficient selection of scheduling rule combination by combining design of experiment and ordinal optimization-based simulation
In a fab with heterogeneous machine groups, the number of scheduling policies grows in a combinatorial way because each machine group has its specific dispatching rules. In this paper, we design a fast simulation methodology by an innovative combination of the notions of ordinal optimization (OO) and design of experiments (DOE) to efficiently select a good scheduling policy for fab operation, Instead of finding the exact performance among scheduling policies, our approach compares their relative orders of performance to a specified level of confidence. The DOE method is exploited to largely reduce the number of scheduling policies to be evaluated by the OO-based simulation. Simulation results of applications to scheduling wafer fabrications show that most of the OO-based DOE simulations require 2 to 3 orders of magnitude less computation time than those of traditional approach, and the speedup is up to 7,000 times in certain cases.
18394199
The Design of Real-Time Distributed information Systems with Object-Oriented and Fault-Tolerant Characteristics
For real-time distributed information systems (RT-DIS), a high degree of reliability, availability and safety is usually required. In this paper, we rst discuss the major features that a design methodology for RTDIS should possess. A survey of current design approaches is then given. The G-Net methodology for the design of RTDIS with object oriented and fault tolerance characteristics is presented. It is shown that fault tolerant G-Nets supporting roll-back recovery and N-version programming can be designed.
6658589
Modeling Users in an Adaptive Visual Interface for Database Systems
Abstract A multi-paradigm visual interface for a database system is being designed, which provides multiple representations for both the stored data and the queries to be performed on them, thus allowing different interaction paradigms. The most appropriate interaction paradigm is proposed to the user interacting with the database, on the basis of the stored user model. In this paper we propose to construct individual models of database users consisting of three components: the class stereotype, the user signature and the system model. Experimental results in constructing the user stereotype are described. Our assumption is that such a three-component user model captures the essential characteristics of the user, and enhances human computer interaction.
46336267
Virtual Reality as an Aid to Visual Querying
7920215
The design of a secure and pervasive multimodal Web system
While most users currently receive Web services from Web browser interfaces, pervasive computing is emerging and offering new ways of accessing Internet applications from any device at any location (Satyanarayanan, 2002; Estrin et al., 2002), by utilizing various modes of interfaces to interact with their end users. The PC and its back-end servers remain important in a pervasive system, and the technology could involve new ways of interfacing with a PC and/or various types of gateways to back-end servers. In this research, cellular phone was used as the pervasive device for accessing an Internet application prototype, a multimodal Web system (MWS), through voice user interface technology (Anerousis and Panagos, 2002). This paper describes how MWS was designed to provide a secure interactive voice channel using an Apache Web server, a voice server, and a Java servlet engine. It was also shown that multimodal user-interface pages can be generated by using XSLT stylesheet which transforms XML documents into various formats including XHTML, WML, and VoiceXML.
33123897
Assessing users' product-specific knowledge for personalization in electronic commerce
While many electronic commerce (EC) companies are adopting one-to-one marketing approaches using various personalization technologies to make their products and services unique for the purpose of attracting and retaining customers and improving their completion edges in the EC ecosystem, which, nevertheless, has low entrance barriers for new players to join and further intensify the competition, none or few of them consider a fundamental issue-the user's product-specific knowledge. Our research proposed to add this new domain of the customer's knowledge on appropriate target products into the personalization process as a part of the overall EC strategy for businesses. In this paper, we present our initial design for assessing the user's product-specific knowledge using the proposed innovative method for detecting it directly in a non-intrusive way without asking users to answer or fill out any types of questionnaires. Our method is based on customer's on-line navigation behaviors by analyzing their navigation patterns through pre-trained artificial neural networks. An empirical study designed for a case of EC store selling digital cameras was conducted in our research to prove the concept, and a good preliminary result was derived from the study. For the purpose of comparing the performances between the conventional approach of using questionnaire and the proposed innovative approach of navigation pattern mining, a questionnaire based approach for evaluating the user's product-specific knowledge was designed and incorporated into our knowledge level assessment system (KLAS). Our study result shows that although the pure questionnaire-based KLAS is intrusive and may not be accepted by some users, for those users willing to complete the questionnaire, the proposed navigation pattern approach can be combined with the questionnaire-based approach to create a hybrid KLAS which has a significantly improved accuracy rate in detecting the customer's product knowledge level.