• Journal of the Korea Society of Computer and Information
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• v.9 no.2
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• pp.139-147
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• 2004

To provide Internet QoS, the IETF Proposed two models of Integrated Services (IntServ) and Differentiated Services (DiffServ) Unlike IntServ where resource reservation and admission control is Per-flow based using RSVP. DiffServ supports aggregated traffic classes to provide various QoS to different classes of traffics. However a dynamic QoS management system is required to dynamically provide differentiated QoS for customers who require dynamic QoS change. This paper designed and implemented therefore a policy-based QoS management system to manage effectively and configure dynamically QoS of DiffServ networks. The validity of the system has been verified by the experimentation on the Linux-based DiffServ network.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.6B
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• pp.588-603
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• 2003

In this paper, we propose an Aggregate Three Color Marker without per flow management which is required for an Edge router to improve End-to-End QoS of Assured Service in DiffServ. Proposed Aggregate Three Color Marker is used with the Adaptive RIO-DC scheme to achieve the minimum rate guarantee without per flow management. Assuming that the admission control for Assured Service has been performed, proposed Aggregate Three Color Marker measures incoming In-profile traffic rate at the output link of an edge router using a token-bucket with a token rate equal to the sum of contracted rates of admitted flows passing the edge router. If there are token losses from the token bucket, out-of-profile packets are promoted to Yellow packets within the aggregate traffic profile. And yellow packets are demoted to out-of-profile packets at the input link to an Edge router fer the purpose of fairness maintenance. In-profile packets and Yellow packets are processed identically at the RIO-DC buffer management scheme in our proposed method. Simulation results show that through using proposed Aggregate Three Color Marker with the Adaptive RIO-DC scheme, the minimum rate guarantee for Assured Service can be achieved without per flow management at multiple DiffServ domains.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.8A
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• pp.1134-1143
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• 2000

We propose a scheduling algorithm, Bandwidth Allocation Scheme (BAS), that guarantees bounded delay in a switching node. It is based on the notion of the GPS (Generalized Processor Sharing) mechanism, which has clarified the concept of fair queueing with a fluid-flow hypothesis of traffic modeling. The main objective of this paper is to determine the session-level weights that define the GPS sewer. The way of introducing and derivation of the so-called system equation' implies the approach we take. With multiple classes of traffic, we define a set of service curves:one for each class. Constrained to the required profiles of individual service curves for delay satisfaction, the sets of weights are determined as a function of both the delay requirements and the traffic parameters. The schedulability test conditions, which are necessary to implement the call admission control, are also derived to ensure the proposed bandwidth allocation scheme' be able to support delay guarantees for all accepted classes of traffic. It is noticeable that the values of weights are tunable rather than fixed in accordance with the varying system status. This feature of adaptability is beneficial towards the enhanced efficiency of bandwidth sharing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.291-298
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• 2018

Purpose: The purpose of this study was to identify the effects of Problem-Based Learning on Academic Resilience, Learning Flow, and Academic Motivation in nursing students. Methods: Research design was a non-equivalent control group pretest-posttest design. The participants were 121 sophomore nursing students from two universities. They were divided into the Problem-Based Learning group (n=61) and Lecture-Based Learning group (n=60). The data were analyzed by Chi-square, paired t-test, and independent t-test. Results: In the PBL group, there was statistically significant improvement in Academic Resilience after intervention (pretest $3.88{\pm}.36$, posttest $4.00{\pm}.38$, p<.001). However, no statistically significant difference was found in the Lecture-Based Learning (LBL) group (pretest $3.86{\pm}.43$, posttest $3.93{\pm}.17$). In terms of Learning Flow, there was statistically significant improvement in the PBL group (pretest $3.31{\pm}.41$, posttest $3.51{\pm}.42$). However, no significant change was identified in the LBL group (pretest $3.45{\pm}.42$, posttest $3.48{\pm}.47$. Academic motivation was improved in the LBL group (pretest $3.32{\pm}.30$, posttest $3.46{\pm}.32$, p=.002) as well as in the PBL group (pretest $3.26{\pm}.23$, posttest $3.47{\pm}.21$, p<.001). Both results were statistically significant. Conclusion: These results suggest that Problem-Based Learning could be more effective for nursing students in improving their academic achievement. Further studies need to be investigated.