• Title/Summary/Keyword: demand control

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Kalman Filtering-based Traffic Prediction for Software Defined Intra-data Center Networks

  • Mbous, Jacques;Jiang, Tao;Tang, Ming;Fu, Songnian;Liu, Deming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.2964-2985
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    • 2019
  • Global data center IP traffic is expected to reach 20.6 zettabytes (ZB) by the end of 2021. Intra-data center networks (Intra-DCN) will account for 71.5% of the data center traffic flow and will be the largest portion of the traffic. The understanding of traffic distribution in IntraDCN is still sketchy. It causes significant amount of bandwidth to go unutilized, and creates avoidable choke points. Conventional transport protocols such as Optical Packet Switching (OPS) and Optical Burst Switching (OBS) allow a one-sided view of the traffic flow in the network. This therefore causes disjointed and uncoordinated decision-making at each node. For effective resource planning, there is the need to consider joining the distributed with centralized management which anticipates the system's needs and regulates the entire network. Methods derived from Kalman filters have proved effective in planning road networks. Considering the network available bandwidth as data transport highways, we propose an intelligent enhanced SDN concept applied to OBS architecture. A management plane (MP) is added to conventional control (CP) and data planes (DP). The MP assembles the traffic spatio-temporal parameters from ingress nodes, uses Kalman filtering prediction-based algorithm to estimate traffic demand. Prior to packets arrival at edges nodes, it regularly forwards updates of resources allocation to CPs. Simulations were done on a hybrid scheme (1+1) and on the centralized OBS. The results demonstrated that the proposition decreases the packet loss ratio. It also improves network latency and throughput-up to 84 and 51%, respectively, versus the traditional scheme.

A Convergence Implementation of Realtime Traffic Shaping and IPS on Small Integrated Security Router for IDC (IDC용 소형 통합보안라우터의 실시간 트래픽쉐이핑과 IPS의 융합 구현)

  • Yang, SeungEui;Park, Kiyoung;Jung, HoeKyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.7
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    • pp.861-868
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    • 2019
  • Various server-based services such as big data, IoT and artificial intelligence have been made online. As a result, the demand for IDC to support stable server operation is increasing. IDC is a server-based facility with a stable line and power supply facility that manages 20 to 30 servers in an efficiently separated rack-level subnetwork. Here, we need a way to efficiently manage servers security, firewall, and traffic on a rack-by-rack basis. Including traffic shaping capabilities that control routers, firewalls, IPS, and line speeds, as well as VPN technology, a recent interest. If three or five kinds of commercial equipment are adopted to support this, it may be a great burden to the management cost as well as the introduction cost. Therefore, in this paper, we propose a method to implement the five functions in one rack-unit small integrated security router. In particular, IDC intends to integrate traffic shaping and IPS, which are essential technologies, and to propose the utility accordingly.

Evaluation of Physical Shear Pre-treatment and Biogas Characteristics using Mixed Sludge (물리적 파쇄 가용화를 이용한 혼합슬러지의 가용화 효율 및 바이오가스 특성 평가)

  • Choi, Jae-Hoon;Jeong, Seong-Yeob;Kim, Ji-Tae
    • Journal of Korean Society on Water Environment
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    • v.35 no.4
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    • pp.362-369
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    • 2019
  • In this study, biodegradation efficiency improvement of mixed sludge for the anaerobic digestion process in wastewater treatment plant was investigated. In order to release the organic material contained in the sludge cell and promote the hydrolysis step, mixed sludge of 7% TS (Total Solids) was physically shear-treated at a shear strength of 1,000 ~ 4,000 rpm and a maximum of 120 mins. As a result of the comparison between mixed sludge before and after the treatment, the concentration of $SCOD_{Cr}$(Soluble Chemical Oxygen Demand-chromium method) was increased through the conversion of granular organic matter into dissolved organic matter as shear strength and treatment time increases. The solubilization efficiency increased rapidly after 30 min of solubilization application time, and they were 11.23 %, 20.10 %, 22.52 % and 25.43% at 120 min for each shear strength conditions, respectively. Additionally, the BMP(Biochemical Methane Potential) test was conducted with the optimized samples to determine the increase of methane production by the shear pre-treatment. Consequently, methane production of each samples were 0.275, 0.310, 0.323 and $0.335m^3/kg\;VS_{add}$, which indicates that methane production was increased to a maximum of 21.28% compared to the control without the solubilization process ($0.262m^3/kg\;VS_{add}$). As a result, the physical shear-treatment is a promising process for sewage sludge pre-treatment to reduce the organic waste and increase the energy production.

Analysis of GHG Reduction Potential on Road Transportation Sector using the LEAP Model - Low Carbon Car Collaboration Fund, Fuel Efficiency, Improving Driving Behavior - (LEAP 모형을 이용한 도로교통부문의 온실가스 감축잠재량 분석 - 저탄소차협력금제도, 연비강화, 운전행태개선을 중심으로 -)

  • Kim, Min wook;Yoon, Young Joong;Han, Jun;Lee, Hwa Soo;Jeon, Eui Chan
    • Journal of Climate Change Research
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    • v.7 no.1
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    • pp.85-93
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    • 2016
  • This study the efficiency of greenhouse gas reduction of 'low carbon car collaboration fund' and its alternative 'control of average fuel efficiency and greenhouse gas', and 'improving driving behavior' were analyzed by using LEAP, long term energy analysis model. Total 4 scenarios were set, baseline scenario, without energy-saving activity, 'low carbon car collaboration fund' scenario, 'fuel efficiency improving scenario', and 'improving driving behavior' scenario. The contents of analysis were forecast of energy demand by scenario and application as well as reduction of greenhouse gas emission volume, and the period taken for analysis was every 1 year during 2015~2030. Baseline scenario, greenhouse gas emission volume in 2015 would be 7,935,697 M/T and 13,081,986 M/T in 2030, increased 64.8%. The analysis result was average annual increase rate of 3.4%. The expected average annual increase rate of other scenarios was, 'low carbon car collaboration fund' scenario 1.7%, 'fuel efficiency improving' scenario 3.0%. and 'improving driving behavior' scenario 3.4%. and these were each 1.7%, 0.3%. 0.3% reduce from baseline scenario. The largest reduction was 'low carbon car collaboration fund' scenario, and there after were 'fuel efficiency improving scenario', and 'improving driving behavior' scenario.

A study on operation and management for TOC removal of public sewage treatment works (하수처리시설에서 총유기탄소(TOC) 처리를 위한 운영·관리 고찰)

  • Jeong, Dong-Hwan;Chung, Hyenmi;Cho, Yangseok;Kim, Eunseok;Kim, Changsoo;Park, Junwon;Lee, Wonseok
    • Journal of Korean Society of Water and Wastewater
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    • v.32 no.6
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    • pp.535-550
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    • 2018
  • Total organic carbon (TOC) will replace chemical oxygen demand ($COD_{Mn}$) as an effluent water quality standard in public sewage treatment works (PSTWs) from 2021 in Korea. To ensure effective control of TOC in the effluent, investigation was carried out into TOC levels and sewage treatment operation factors in five target PSTWs using anaerobic-anoxic-aerobic ($A_2O$) processes, media, membrane, and sequencing batch reactor (SBR) technologies. TOC removal efficiencies appeared to be 93-96% on average. As a fraction of TOC, biodegradable dissolved organic carbon (BDOC) was reduced from 64% in the influent to 9% in the effluent in these PSTWs. During the investigation, biological treatment processes were applied flexibly for operation factors such as HRT, SRT, MLSS, F/M ratios and BOD volume loads, based on the influent characteristics and design conditions. As a result, we suggest efficient operating conditions in PSTWs by evaluating relationships between TOC removal and operation factors.

Static and dynamic characterization of a flexible scaled joined-wing flight test demonstrator

  • Carregado, Jose;Warwick, Stephen;Richards, Jenner;Engelsen, Frode;Suleman, Afzal
    • Advances in aircraft and spacecraft science
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    • v.6 no.2
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    • pp.117-144
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    • 2019
  • High Altitude and Long Endurance (HALE) aircraft are capable of providing intelligence, surveillance and reconnaissance (ISR) capabilities over vast geographic areas when equipped with advanced sensor packages. As their use becomes more widespread, the demand for additional range, endurance and payload capability will increase and designers are exploring non-conventional configurations to meet the increasing demands. One such configuration is the joined-wing concept. A joined-wing aircraft is one that typically connects a front and aft wings in a diamond shaped planform. One such example is the Boeing SensorCraft configuration. While the joined-wing configuration offers potential benefits regarding aerodynamic efficiency, structural weight, and sensing capabilities, structural design requires careful consideration of elastic buckling resulting from the aft wing supporting, in compression, part of the forward wing structural loading. It has been shown already that this is a nonlinear phenomenon, involving geometric nonlinearities and follower forces that tend to flatten the entire configuration, leading to structural overload due to the loss of the aft wing's ability to support the forward wing load. Severe gusts are likely to be the critical design condition, with flight control system interaction in the form of Gust Load Alleviation (GLA) playing a key role in minimizing the structural loads. The University of Victoria Center for Aerospace Research (UVic-CfAR) has built a 3-meter span scaled and flexible wing UAV based on the Boeing SensorCraft design. The goal is to validate the nonlinear structural behavior in flight. The main objective of this research work is to perform Ground Vibration Tests (GVT) to characterize the dynamic properties of the scaled flight vehicle. Results from the experimental tests are used to characterize the modal dynamics of the aircraft, and to validate the numerical models. The GVT results are an important step towards a safe flight test program.

Production of fusion-type realistic contents using 3D motion control technology (3D모션 컨트롤 기술을 이용한 융합형 실감 콘텐츠 제작)

  • Jeong, Sun-Ri;Chang, Seok-Joo
    • Journal of Convergence for Information Technology
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    • v.9 no.4
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    • pp.146-151
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    • 2019
  • In this paper, we developed a multi-view video content based on real-world technology and a pilot using the production technology, and provided realistic contents production technology that can select a desired direction at a user 's view point by providing users with various viewpoint images. We also created multi-view video contents that can indirectly experience local cultural tourism resources and produced cyber tour contents based on multi-view video (realistic technology). This technology development can be used to create 3D interactive real-world contents that are used in all public education fields such as libraries, kindergartens, elementary schools, middle schools, elderly universities, housewives classrooms, lifelong education centers, The domestic VR market is still in it's infancy, and it's expected to develop in combination with the 3D market related to games and shopping malls. As the domestic educational trend and the demand for social public education system are growing, it is expected to increase gradually.

The Analysis of D-CATV VOD Service Users and Their Usage Patterns (D-CATV VOD 서비스 이용자에 대한 분석과 이용행태에 관한 연구)

  • Kang, Won Young;Seo, Chang Ho;Choi, Seong Jhin
    • Journal of Broadcast Engineering
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    • v.23 no.6
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    • pp.931-938
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    • 2018
  • D-CATV VOD service provides various contents such as drama and movie with high quality regardless of time and place. As the usage time of the VOD service increases, the viewing time of real-time terrestrial broadcasting is shortened. As the demand for VOD service is high and the number of digital users is increasing, the VOD market is rapidly growing. Therefore this study investigates the age and gender analysis of digital cable TV users and analyzed the usage patterns and audience cases of users. VOD service has been shown to be used by many users for the first time through remote control and free coupons. Non-users of VOD service did not use it because of charge and did not feel the necessity, but some non-users did not recognize the free VOD service.

Strategic Value of Hong Kong as a Bridgehead for Entering Chinese Service Market: Focusing on China-Hong Kong CEPA (대중국 서비스업 진출 경유지로서 홍콩의 전략적 가치; 중국-홍콩 경제동반자 협정(CEPA)을 중심으로)

  • Lee, Jongseok
    • Journal of Service Research and Studies
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    • v.8 no.3
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    • pp.1-23
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    • 2018
  • This study suggests a way through Hong Kong as an alternative strategy for Korean companies to enter Chinese service market which is rapidly expanding due to China's recent policy switch toward service economy. Service market is generally more regulated, labor-intensive, and domestic demand-oriented than goods market, which makes opening of domestic markets to foreigners slow. In case of China, market control and regulations by the State is tighter than other economies. Therefore, it is important to find ways to avoid regulations from the Chinese government if possible. In this sense, this study investigates the China-Hong Kong CEPA and draws its strategic value for entering Chinese service market by comparing it with the Korea-China FTA service sector. In addition, utilizing the difference in tax agreements between Korea-China and China-Hong Kong, and the human network of Hong Kong entrepreneurs in China may play an important role in reducing the risk that might arise in China.

Intelligent Sensor Technology Trend for Smart IT Convergence Platform (스마트 IT 융합 플랫폼을 위한 지능형 센서 기술 동향)

  • Kim, H.J.;Jin, H.B.;Youm, W.S.;Kim, Y.G.;Park, K.H.
    • Electronics and Telecommunications Trends
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    • v.34 no.5
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    • pp.14-25
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    • 2019
  • As the Internet of Things, artificial intelligence and big data have received a lot of attention as key growth engines in the era of the fourth industrial revolution, data acquisition and utilization in mobile, automotive, robotics, manufacturing, agriculture, health care and national defense are becoming more important. Due to numerous data-based industrial changes, demand for sensor technologies is exploding, especially for intelligent sensor technologies that combine control, judgement, storage and communication functions with the sensors's own functions. Intelligent sensor technology can be defined as a convergence component technology that combines intelligent sensor units, intelligent algorithms, modules with signal processing circuits, and integrated plaform technologies. Intelligent sensor technology, which can be applied to variety of smart IT convergence services such as smart devices, smart homes, smart cars, smart factory, smart cities, and others, is evolving towards intelligent and convergence technologies that produce new high-value information through recognition, reasoning, and judgement based on artificial intelligence. As a result, development of intelligent sensor units is accelerating with strategies for miniaturization, low-power consumption and convergence, new form factor such as flexible and stretchable form, and integration of high-resolution sensor arrays. In the future, these intelligent sensor technologies will lead explosive sensor industries in the era of data-based artificial intelligence and will greatly contribute to enhancing nation's competitiveness in the global sensor market. In this report, we analyze and summarize the recent trends in intelligent sensor technologies, especially those for four core technologies.