• Title/Summary/Keyword: TCP Selection

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Self-Adaptation framework for TCP Selection (TCP 선택을 위한 자동 적응 프레임워크)

  • Hwang, Jae-Hyun;Yoo, Chuck
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.2B
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    • pp.130-142
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    • 2009
  • In this paper, we propose a self-adaptation framework that selects a TCP variant adapted to current end-to-end path among available TCP variants. There is no single version of TCP that is suitable to all network environments since the causes for performance degradation are different one another according to characteristics of network environments. Thus, determining that which TCP variants should be selected in order to get best performance is very important. To enable adaptation through such determination, we integrate the existing network estimation schemes and some TCP variants into our framework then make light-weight performance knowledge database for TCP selection. Through implementing and evaluating the proposed framework we show that our solution can help TCP get high and stable performance on the various types of network environments by pure end-to-end.

Candidate Path Selection Method for TCP Performance Improvement in Fixed Robust Routing

  • Fukushima, Yukinobu;Matsumura, Takashi;Urushibara, Kazutaka;Yokohira, Tokumi
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.6
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    • pp.445-453
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    • 2016
  • Fixed robust routing is attracting attention as routing that achieves high robustness against changes in traffic patterns without conducting traffic measurement and performing dynamic route changes. Fixed robust routing minimizes the worst-case maximum link load by distributing traffic of every source-destination (s-d) router pair onto multiple candidate paths (multipath routing). Multipath routing, however, can result in performance degradation of Transmission Control Protocol (TCP) because of frequent out-of-order packet arrivals. In this paper, we first investigate the influence of multipath routing on TCP performance under fixed robust routing with a simulation using ns-2. The simulation results clarify that TCP throughput greatly degrades with multipath routing. We next propose a candidate path selection method to improve TCP throughput while suppressing the worst-case maximum link load to less than the allowed level under fixed robust routing. The method selects a single candidate path for each of a predetermined ratio of s-d router pairs in order to avoid TCP performance degradation, and it selects multiple candidate paths for each of the other router pairs in order to suppress the worst-case maximum link load. Numerical examples show that, provided the worst-case maximum link load is less than 1.0, our proposed method achieves about six times the TCP throughput as the original fixed robust routing.

An Adaptive Selection of Congestion Window for TCP over Ad-Hoc Networks

  • Song, Jung-Hoon;Lee, Sang-Don;Han, Ki-Jun
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10c
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    • pp.541-543
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    • 2004
  • TCP does not distinguish between congestion and packet losses due to route change and link failures, which are prevalent in mobile ad hoc networks. So, TCP does not show satisfactory performance in ad hoc networks since it assumes that all packet losses are due to network congestions. In particular, when a route is reestablished it needs to be adaptively determined CWND according to the new route features. In this paper, we proposed CWND adjustment scheme to improve the TCP performance overad hoc networks. TCP sender effectively adjusts CWND by monitoring the network situation using control packets. Simulation results using NS-2 show that the proposed scheme increases TCP throughput compared with those of general TCP.

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Slective Buffering Macro Handover Which Applies The F-SNOOP in Hierarchical structure (계층 구조에서 F-SNOOP을 적용한 선택적 버퍼링 매크로 핸드오버)

  • Ahn Chi-Hyun;Kim Dong-Hyun;Kim Hyoung-Chul;Ryou Hwang-Bin;Lee Dae-Young;Jun Kye-Suk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.5B
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    • pp.413-420
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    • 2006
  • HMIPv6 is designed to reduce the signaling load to external network and improve handover speed of MN by including Mobility Anchor Point(MAP) in local handover. However in this case of macro handover, it's just used pervious MIPv6 handover algorithm. So, it occurs packet loss and transmission delay problem. In this paper, we propose the mechanism applying the HMIPv6 for Fast Handover to choose suitable to the condition buffering handover. The condition for the selection is result distance measurement between MN and CN, between MN and NAR. Furthermore, using F-SNOOP protocol, it is possible to improve wireless network performance. Wireless network has high Bit Error Rate(BER) characteristic because of path loss, fading, noise and interference. TCP regards such errors as congestion and starts congestion control. This congestion control makes packet transmission rate low. However, F-SNOOP improves TCP performance based on SNOOP and Freeze TCP that use Zero Window Advertisement(ZWA) message when handoff occurs in wireless network.

Histological Comparative Study of Rabbit Maxillary Sinus Augmentation with Bio-Oss and β-TCP (Bio-Oss와 β-TCP를 이용한 토끼 상악동 거상술 후의 조직학적 비교 연구)

  • Moon, Yong-Suk
    • Journal of Life Science
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    • v.28 no.10
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    • pp.1220-1232
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    • 2018
  • The purpose of this animal study was to evaluate, by histological analysis, bone regeneration in rabbit maxillary sinuses with an anorganic bovine graft (Bio-Oss) and a ${\beta}-tricalcium$ phosphate (${\beta}-TCP$) grafting. Bilateral sinus augmentation procedures were performed in 12 adult male rabbits. Rectangular replaceable bony windows were made with a piezoelectric thin saw insert. In the Bio-Oss group, Bio-Oss was grafted and in the ${\beta}-TCP$ group, ${\beta}-TCP$ was grafted and covered by replaceable bony windows. The animals were sacrificed at 2, 4, and 8 weeks after the surgical procedure. The augmented sinuses were evaluated by histomorphometric analysis using hematoxylin-eosin, Masson trichrome, and tartrate-resistant acid phosphatase stains and also by immunohistochemical analysis of proliferating cell nuclear antigen (PCNA), type I collagen, and osteocalcin content. Histologically, new bone formation was found on the surface of Bio-Oss and ${\beta}-TCP$ particles from 2 weeks and continued to 8 weeks. Significant higher new bone formation was revealed in the ${\beta}-TCP$ group than in the Bio-Oss group at 8 weeks. The amount of graft materials was significantly decreased in the ${\beta}-TCP$ group and the number of osteoclasts was significantly increased in the ${\beta}-TCP$ group from 4 to 8 weeks. Immunoreactivity to PCNA was reduced at 8 weeks. The expression of type I collagen was significantly increased in the ${\beta}-TCP$ group at 2 weeks, but was significantly increased in the Bio-Oss group at 8 weeks. Immunoreactivity to osteocalcin was increased from 2 to 8 weeks. These histological results can help in the selection of graft materials for implants. Both Bio-Oss and ${\beta}-TCP$ are proven graft materials, however, these results indicate that ${\beta}-TCP$ showed better bone regeneration results in rabbit maxillary sinus augmentation.

Path selection algorithm for multi-path system based on deep Q learning (Deep Q 학습 기반의 다중경로 시스템 경로 선택 알고리즘)

  • Chung, Byung Chang;Park, Heasook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.1
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    • pp.50-55
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    • 2021
  • Multi-path system is a system in which utilizes various networks simultaneously. It is expected that multi-path system can enhance communication speed, reliability, security of network. In this paper, we focus on path selection in multi-path system. To select optimal path, we propose deep reinforcement learning algorithm which is rewarded by the round-trip-time (RTT) of each networks. Unlike multi-armed bandit model, deep Q learning is applied to consider rapidly changing situations. Due to the delay of RTT data, we also suggest compensation algorithm of the delayed reward. Moreover, we implement testbed learning server to evaluate the performance of proposed algorithm. The learning server contains distributed database and tensorflow module to efficiently operate deep learning algorithm. By means of simulation, we showed that the proposed algorithm has better performance than lowest RTT about 20%.

Network Interface Selection Algorithm on Vertical Handoff between 3G Networks and WLANs (3G 네트워크와 무선랜 사이 계층적 핸드오프의 네트워크 인터페이스 선택 알고리즘)

  • Seok Yongho;Choi Nafiung;Choi Yanghee
    • Journal of KIISE:Information Networking
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    • v.32 no.2
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    • pp.203-214
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    • 2005
  • The integration of 3G networks and WLANs as complementary has been begun to attract much attention in industry as well as academia. This topic is becoming a burning issue, and one of the key questions which it raises is how to support a seamless vertical handoff. This paper introduces a new network interface selection algorithm for energy-efficient vertical handoff in tightly coupled systems capable of supporting seamless handoff. Our proposed scheme, Wise Interface Selection (WISE) switches the active network interface, after taking into consideration the characteristics of the network interface cards and the current level of data traffic, with the cooperation of the mobile terminals and network. Network interface switching operates independently on both the downlink and the uplink for the purpose of energy conservation. We show through simulation that less energy is consumed with WISE than when only a 3G network or WLAN interface is used, resulting in a longer lifetime for the mobile terminals. In the case of TCP connections, additional throughput gain can also be obtained.

A Hybrid Active Queue Management for Stability and Fast Adaptation

  • Joo Chang-Hee;Bahk Sae-Woong;Lumetta Steven S.
    • Journal of Communications and Networks
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    • v.8 no.1
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    • pp.93-105
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    • 2006
  • The domination of the Internet by TCP-based services has spawned many efforts to provide high network utilization with low loss and delay in a simple and scalable manner. Active queue management (AQM) algorithms attempt to achieve these goals by regulating queues at bottleneck links to provide useful feedback to TCP sources. While many AQM algorithms have been proposed, most suffer from instability, require careful configuration of nonintuitive control parameters, or are not practical because of slow response to dynamic traffic changes. In this paper, we propose a new AQM algorithm, hybrid random early detection (HRED), that combines the more effective elements of recent algorithms with a random early detection (RED) core. HRED maps instantaneous queue length to a drop probability, automatically adjusting the slope and intercept of the mapping function to account for changes in traffic load and to keep queue length within the desired operating range. We demonstrate that straightforward selection of HRED parameters results in stable operation under steady load and rapid adaptation to changes in load. Simulation and implementation tests confirm this stability, and indicate that overall performances of HRED are substantially better than those of earlier AQM algorithms. Finally, HRED control parameters provide several intuitive approaches to trading between required memory, queue stability, and response time.

그룹의사결정지원을 위한 인터넷 기능개선 방향

  • Heo, Yeong-Jong
    • Asia pacific journal of information systems
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    • v.6 no.2
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    • pp.107-124
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    • 1996
  • This research studied future directions of Internet technology toward supporting group decision making. From the previous research, this study classified requirements of group decision support systems into three categories which are information transfer, information provision, and communication control. For each of the category, this study analyzed the limits of current Internet functions. Next, this research discussed technological solutions, for each of the OSI 7 layers, toward supporting group decision making. Additional functions in Internet which are required for group supporting are tracing communications, application dependent coding, selection of communication modes, and security handling. For high speed data communication in Internet, this research discussed the potential of cell-switching technology for the lower level link in Internet. The conclusions of this research can be used for designing future group decision support systems and development of Internet.

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Enhancing the Fairness of PGMCC (PGMCC의 공정성 향상)

  • Park, Young-Sun;Hyun, Do-Won;Jang, Ju-Wook
    • The KIPS Transactions:PartC
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    • v.10C no.3
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    • pp.311-316
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    • 2003
  • To deploy multicast protocols, fairness to current Internet traffic, particularly TCP, is an important requirement. PGMCC is one of the most promising multicast congestion control proposals but it suffers from degradation of fairness by fixed timeout and uncertain acker selection. In this paper, we suggest addition of an adaptive timeout mechanism and NAK suppression in router using throughput comparison to improve fairness. Our simulation show improved fairness.