• Title/Summary/Keyword: Optimal service rate

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The Impact of Access Rate Regulation on ISP Revenue and Pricing (인터넷 최대 접속 속도의 제한이 서비스 제공자의 수입과 서비스 가격의 결정에 미치는 영향)

  • Lee, Seung-Ho;Seo, Seung-Woo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.2
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    • pp.11-19
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    • 2013
  • Internet service providers regulate the maximum data transmission rate of each user as a means to provide a tiered Internet access service or to avoid the monopoly of a few greedy users. In this paper, we aim to analyze the impact of this access rate regulation on the revenue of Internet service provider and the pricing strategy. We first propose a service quality model taking into account the access rate regulation, and analyze how the regulation affects the service subscription decision of users. In addition, we derive a sufficient condition that guarantees the stability of the revenue, and formulate an optimization problem that finds the optimal price to maximize the revenue.

A Dynamic Placement Mechanism of Service Function Chaining Based on Software-defined Networking

  • Liu, Yicen;Lu, Yu;Chen, Xingkai;Li, Xi;Qiao, Wenxin;Chen, Liyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.10
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    • pp.4640-4661
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    • 2018
  • To cope with the explosive growth of Internet services, Service Function Chaining (SFC) based on Software-defined Networking (SDN) is an emerging and promising technology that has been suggested to meet this challenge. Determining the placement of Virtual Network Functions (VNFs) and routing paths that optimize the network utilization and resource consumption is a challenging problem, particularly without violating service level agreements (SLAs). This problem is called the optimal SFC placement problem and an Integer Linear Programming (ILP) formulation is provided. A greedy heuristic solution is also provided based on an improved two-step mapping algorithm. The obtained experimental results show that the proposed algorithm can automatically place VNFs at the optimal locations and find the optimal routing paths for each online request. This algorithm can increase the average request acceptance rate by about 17.6% and provide more than 20-fold reduction of the computational complexity compared to the Greedy algorithm. The feasibility of this approach is demonstrated via NetFPGA-10G prototype implementation.

Cross-layer Design of Rate and Quality Adaptation Schemes for Wireless Video Streaming

  • Lee, Sun-Hun;Chung, Kwang-Sue
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.3
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    • pp.324-340
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    • 2010
  • Video streaming service over wireless networks is a challenging task because of the changes in the wireless channel conditions that can occur due to interference, fading, and station mobility. To provide an efficient wireless video streaming service, the rate adaptation scheme should improve wireless node performance and channel utilization. Moreover, the quality adaptation scheme should be considered at the streaming application. To meet these requirements, we propose a new cross-layer design for video streaming over wireless networks. This design includes the rate and quality adaptation schemes. The rate adaptation scheme selects the optimal transmission mode and resolves the performance anomaly problem. Based on performance improvement by the proposed rate adaptation scheme, our quality adaptation scheme improves the quality of video streaming. Through performance evaluations, we prove that our cross-layer design improves the wireless channel utilization and the quality of video streaming.

Analysis of Criteria for Selecting Load Redistribution Algorithm for Fault-Tolerant Distributed System (분산 시스템의 결함시 재분배 알고리즘의 선정기준을 위한 특성 분석)

  • 최병갑
    • Journal of the Korea Society for Simulation
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    • v.3 no.1
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    • pp.89-98
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    • 1994
  • In this paper, a criteria for selecting an appropriate load redistribution algorithm is devised so that a fault-tolerance distributed system can operte at its optimal efficience. To present the guideline for selecting redistributing algorithms, simulation models of fault-tolerant system including redistribution algorithms are developed using SLAM II. The job arrival rate, service rate, failure and repair rate of nodes, and communication delay time due to load migration are used as parameters of simulation. The result of simulation shows that the job arrival rate and the failure rate of nodes are not deciding factors in affecting the relative efficiency of algorithms. Algorithm B shows relatively a consistent performance under various environments, although its performance is between those of other algorithms. If the communication delay time is longer than average job processing time, the performance of algorithm B is better than others. If the repair rate is relatively small or communication delay time is longer than service time, algorithm A leads to good performance. But in opposite environments, algorithm C is superior to other algorithms.

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A Rate-Based Buffer Management Algorithm to Improve TCP Performance over ATM networks (ATM 네트워크에서 TCP 성능향상을 위한 평균 전송율 기반의 버퍼관리 알고리즘)

  • 김관웅;이창기
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.2B
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    • pp.263-271
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    • 2004
  • In this paper, we proposed a new buffer management algorithm using perVC-Queuing discipline. Proposed algorithm uses service rate estimation and assigns dynamic perVC threshold to each VCs. Service rate estimation and dynamic perVC threshold combined with global threshold provide nearly optimal throughput and improve fairness performance of network resource among GFR VCs as well as guarantee MCR of all VCs. From simulation results, we demonstrate the proposed scheme fulfills the requirement of GFR service as well as improves the TCP throughput.

A QoS Multicast Routing Optimization Algorithm Based on Genetic Algorithm

  • Sun Baolin;Li Layuan
    • Journal of Communications and Networks
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    • v.8 no.1
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    • pp.116-122
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    • 2006
  • Most of the multimedia applications require strict quality of service (QoS) guarantee during the communication between a single source and multiple destinations. This gives rise to the need for an efficient QoS multicast routing strategy. Determination of such QoS-based optimal multicast routes basically leads to a multi-objective optimization problem, which is computationally intractable in polynomial time due to the uncertainty of resources in Internet. This paper describes a network model for researching the routing problem and proposes a new multicast tree selection algorithm based on genetic algorithms to simultaneously optimize multiple QoS parameters. The paper mainly presents a QoS multicast routing algorithm based on genetic algorithm (QMRGA). The QMRGA can also optimize the network resources such as bandwidth and delay, and can converge to the optimal or near-optimal solution within few iterations, even for the networks environment with uncertain parameters. The incremental rate of computational cost can close to polynomial and is less than exponential rate. The performance measures of the QMRGA are evaluated using simulations. The simulation results show that this approach has fast convergence speed and high reliability. It can meet the real-time requirement in multimedia communication networks.

Empirical Study on Unit Bias under the Flat Rate Pricing in the Korean Mobile Telecommunication Market (이동통신시장에서의 단위편향 소비행태 발생에 관한 실증연구)

  • Lee, Sang-Woo;Jeong, Seon-Hwa;Lee, Hyeongjik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.2
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    • pp.229-237
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    • 2016
  • The purpose of this paper is to empirically identify whether unit bias exists or not under the flat rate pricing in the Korean mobile telecommunication market and to give the desirable form of pricing plans for minimizing this irrational behaviors. Our results show that with the flat rate pricing consumers tends to make more voice or data traffic over their optimal consumption level, meaning the existence of unit bias in the Korean mobile market. These results imply that under the current pricing plans subscribers may pay higher monthly fee than their optimal cost which maximizes their utility, for using the telecommunications service. Thus, policy makers need to consider adopting mobile operators' segmentation of the flat rate pricing plans for the reduction of subscribers' telecommunications costs and the improvement of consumer welfare.

Studies on enzyme-linked immunosorbent assay(ELISA) for detection of antibody to Brucella abortus (효소면역법을 이용한 Brucella abortus 항체 검출에 관한 연구)

  • 심항섭;국정희;정봉수;고태오;조중현;박유순
    • Korean Journal of Veterinary Service
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    • v.21 no.2
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    • pp.107-115
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    • 1998
  • In order to establish a rapid, sensitive and specific diagnostic method for detection of antibody to Brucella abortus, a enzyme-linked immunosorbent assay(ELISA) was adapted. The diagnostic efficacy of the established ELISA was compared with that of the standard tube agglutination test for B abortus. 1. It was found that the optimal concentration of antigen for this ELISA was 5$\mu\textrm{g}$/ml, the optimal dilution of conjugate was 1 : 2000, and the optimal dilution of serum was 1 : 200, respectively. 2. Cut off value in this ELISA was 1,102 that was determined by mean absorbance(at 492nm) of tube agglutination test negative serum added with the triple value of the standared devation. 3. The relationship between the tube agglutination test and ELISA was showen high corresponding rate with sensitivity(96.3%) and specificity(98.1%). 4. The efficacy of the ELISA for detection of B abortus antibody was compared with tube agglutination test In brucellosis outbreak farm. The sensivity of ELSIA was higher than tube agglutination test.

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Enhancing Service Availability in Multi-Access Edge Computing with Deep Q-Learning

  • Lusungu Josh Mwasinga;Syed Muhammad Raza;Duc-Tai Le ;Moonseong Kim ;Hyunseung Choo
    • Journal of Internet Computing and Services
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    • v.24 no.2
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    • pp.1-10
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    • 2023
  • The Multi-access Edge Computing (MEC) paradigm equips network edge telecommunication infrastructure with cloud computing resources. It seeks to transform the edge into an IT services platform for hosting resource-intensive and delay-stringent services for mobile users, thereby significantly enhancing perceived service quality of experience. However, erratic user mobility impedes seamless service continuity as well as satisfying delay-stringent service requirements, especially as users roam farther away from the serving MEC resource, which deteriorates quality of experience. This work proposes a deep reinforcement learning based service mobility management approach for ensuring seamless migration of service instances along user mobility. The proposed approach focuses on the problem of selecting the optimal MEC resource to host services for high mobility users, thereby reducing service migration rejection rate and enhancing service availability. Efficacy of the proposed approach is confirmed through simulation experiments, where results show that on average, the proposed scheme reduces service delay by 8%, task computing time by 36%, and migration rejection rate by more than 90%, when comparing to a baseline scheme.

Replacement model under warranty with age-dependent minimal repair

  • Park, Minjae
    • International Journal of Reliability and Applications
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    • v.18 no.1
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    • pp.9-20
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    • 2017
  • In this paper, we consider a renewable repair-replacement warranty strategy with age-dependent minimal repair service and propose an optimal maintenance model during post-warranty period. Such model implements the repair time limit under warranty and follows with a certain form of system maintenance strategy when the warranty expires. The expected cost rate is investigated per unit time during the life period of the system as for the standard for optimality. Based on the cost design defined for each failure of the system, the expected cost rate is derived during the life period of the system, considering that a renewable minimal repair-replacement warranty strategy with the repair time limit is provided to the customer under warranty. When the warranty is finished, the maintenance of the system is the customer's responsibility. The life period of the system is defined and the expected cost rate is developed from the viewpoint of the customer's perspective. We obtain the optimal maintenance strategy during the maintenance period by minimizing such a cost rate after a warranty expires. Numerical examples using field data are shown to exemplify the application of the methodologies proposed in this paper.

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