• 제목/요약/키워드: adaptive information service

검색결과 536건 처리시간 0.028초

Dynamic Service Assignment based on Proportional Ordering for the Adaptive Resource Management of Cloud Systems

  • Mateo, Romeo Mark A.;Lee, Jae-Wan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권12호
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    • pp.2294-2314
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    • 2011
  • The key issue in providing fast and reliable access on cloud services is the effective management of resources in a cloud system. However, the high variation in cloud service access rates affects the system performance considerably when there are no default routines to handle this type of occurrence. Adaptive techniques are used in resource management to support robust systems and maintain well-balanced loads within the servers. This paper presents an adaptive resource management for cloud systems which supports the integration of intelligent methods to promote quality of service (QoS) in provisioning of cloud services. A technique of dynamically assigning cloud services to a group of cloud servers is proposed for the adaptive resource management. Initially, cloud services are collected based on the excess cloud services load and then these are deployed to the assigned cloud servers. The assignment function uses the proposed proportional ordering which efficiently assigns cloud services based on its resource consumption. The difference in resource consumption rate in all nodes is analyzed periodically which decides the execution of service assignment. Performance evaluation showed that the proposed dynamic service assignment (DSA) performed best in throughput performance compared to other resource allocation algorithms.

Cross-layer Dynamic Subcarrier Allocation with Adaptive Service Rate Control in SC-FDMA System

  • Ye, Fang;Su, Chunxia;Li, Yibing;Zhang, Xu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권10호
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    • pp.4823-4843
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    • 2017
  • In this paper, an improved utility-based cross-layer dynamic subcarrier allocation (DSA) algorithm is proposed for single carrier frequency division multiple access (SC-FDMA) system, which adopts adaptive service rate control (ASRC) to eliminate the service rate waste and improve the spectral efficiency in heterogeneous network including non-real-time traffic and real-time traffic. In this algorithm, furthermore, a first in first out (FIFO) queuing model with finite space is established on the cross-layer scheduling framework. Simulation results indicate that by taking the service rate constraint as the necessary condition for optimality, the ASRC algorithm can effectively eliminate the service rate waste without compromising the scheduling performance. Moreover, the ASRC algorithm is able to further improve the quality of service (QoS) performance and transmission throughput by contributing an attractive performance trade-off between real-time and non-real-time applications.

하이브리드TV서비스를 위한 적응형 스트리밍 시스템 개발 (Development of Adaptive Streaming Systems for Hybrid TV Service)

  • 최승철;김윤형;이만규;최석림
    • 한국통신학회논문지
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    • 제39B권7호
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    • pp.467-476
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    • 2014
  • 국내외적으로 방송과 통신이 융합된 형태의 서비스가 인터넷을 통하여 제공되고 있으며, 스마트TV를 통한 다양한 양방향 서비스가 제공되는 상황에서 제한적인 유무선 네트워크 상황에 적응하여 끊김 없이 콘텐츠를 제공하는 것이 멀티미디어 서비스의 핵심 요소라고 할 수 있다. 본 논문에서는 인터넷과 같은 대역폭이 유동적인 환경에서 끊김 없는 OHTV(Open Hybrid TV) 서비스를 제공하기 위하여 DASH(Dynamic Adaptive Streaming over HTTP) 규격을 준수하는 콘텐츠 제작 시스템을 개발하였고, 기존 OHTV 서비스 플랫폼과 쉽게 연동하는 구체적인 방법을 제시하고 있다. 개발한 시스템은 OHTV 규격에 정의되어 있는 다양한 서비스 중에 IP VOD, 비디오 클립, 광고 서비스에 적용되어 네트워크 상황에 유동적으로 적응하여 안정적으로 끊김 없는 서비스를 제공함을 실험을 통해 검증하였다.

Resource Efficient AI Service Framework Associated with a Real-Time Object Detector

  • Jun-Hyuk Choi;Jeonghun Lee;Kwang-il Hwang
    • Journal of Information Processing Systems
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    • 제19권4호
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    • pp.439-449
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    • 2023
  • This paper deals with a resource efficient artificial intelligence (AI) service architecture for multi-channel video streams. As an AI service, we consider the object detection model, which is the most representative for video applications. Since most object detection models are basically designed for a single channel video stream, the utilization of the additional resource for multi-channel video stream processing is inevitable. Therefore, we propose a resource efficient AI service framework, which can be associated with various AI service models. Our framework is designed based on the modular architecture, which consists of adaptive frame control (AFC) Manager, multiplexer (MUX), adaptive channel selector (ACS), and YOLO interface units. In order to run only a single YOLO process without regard to the number of channels, we propose a novel approach efficiently dealing with multi-channel input streams. Through the experiment, it is shown that the framework is capable of performing object detection service with minimum resource utilization even in the circumstance of multi-channel streams. In addition, each service can be guaranteed within a deadline.

Ubiquitous Architectural Framework for UbiSAS using Context Adaptive Rule Inference Engine

  • Yoo, Yoon-Sik;Huh, Jae-Doo
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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    • pp.243-246
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    • 2005
  • Recent ubiquitous computing environments increasingly impact on our lives using the current technologies of sensor network and ubiquitous services. In this paper, we propose ubiquitous architectural framework for ubiquitous sleep aid service(UbiSAS) in the subset of ubiquitous computing for refreshing of human's sleep. And we examine technical feasibility. Human can recover his health through refreshing sleep from fatigue. Ubiquitous architectural framework for UbiSAS in digital home offers agreeable sleeping environment and improves recovery from fatigue. So we present new concept of ubiquitous architectural framework dissolving stress. Specially, we apply context to context-aware framework module. This context is transferred to context adaptive inference engine which has service invocation function in intelligent agent module. Ubiquitous architectural framework for UbiSAS using context adaptive rule inference engine without user intervention is technical issue. That is to say, we should take sleep comfortably during our sleeping. And sensed information during sleeping is changed to context-aware information. This presents significant information in context adaptive rule inference engine for UbiSAS. This information includes all sleeping state during sleeping in context-aware computing technique. So we propose more effective and most suitable ubiquitous architectural framework using context adaptive rule inference engine for refreshing sleep in this paper.

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An Efficient Priority Based Adaptive QoS Traffic Control Scheme for Wireless Access Networks

  • Kang Moon-sik
    • 한국통신학회논문지
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    • 제30권9A호
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    • pp.762-771
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    • 2005
  • In this paper, an efficient Adaptive quality-of-service (QoS) traffic control scheme with priority scheduling is proposed for the multimedia traffic transmission over wireless access networks. The objective of the proposed adaptive QoS control (AQC) scheme is to realize end-to-end QoS, to be scalable without the excess signaling process, and to adapt dynamically to the network traffic state according to traffic flow characteristics. Here, the reservation scheme can be used over the wireless access network in order to get the per-flow guarantees necessary for implementation of some kinds of multimedia applications. The AQC model is based on both differentiated service model with different lier hop behaviors and priority scheduling one. It consists of several various routers, access points, and bandwidth broker and adopts the IEEE 802.1 le wireless radio technique for wireless access interface. The AQC scheme includes queue management and packet scheduler to transmit class-based packets with different per hop behaviors (PHBs). Simulation results demonstrate effectiveness of the proposed AQC scheme.

적응순항제어시스템의 운전자 행동적응 (Behavioral Adaptation to an Adaptive Cruise Control System)

  • 이운성;김영석
    • 한국자동차공학회논문집
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    • 제14권6호
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    • pp.82-88
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    • 2006
  • The study investigated how an adaptive cruise control system induced behavioral adaptation in drivers using a full-scale driving simulator. Forty drivers with different driving styles participated in the study to compare headway-time, vehicle lateral position variation, and head and eye movement when driving with and without the adaptive cruise control system. Results showed that system induced positive behavioral adaptation by drawing consistency in driving speed and headway-time regardless of the driving styles. However, the results also showed that the drivers' reliance on the system induced negative adaptation including reduced lane keeping ability and reduced attention during driving. As a strategy to prevent negative adaptation, the study proposed information service to drivers with the adaptive cruise control system status and driving environment, and investigated effectiveness of the service. Twelve drivers participated in the experiment to compare headway-time, vehicle lateral position variation and subjective ratings when driving with and without the information service. Results showed that the information service assisted the drivers to maintain safer and more comfortable headway-time without impairing drivers' steering ability.

DiffServ 방식의 Assured Service에서 QoS 보장을 위한 Adaptive RIO 방식의 제안 (An Adaptive RIO buffer management scheme for QoS guarantee of Assured Service in Differentiated Services)

  • 허경;김문규;이승현;조성대;엄두섭;차균현
    • 한국통신학회논문지
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    • 제27권6C호
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    • pp.581-593
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    • 2002
  • 본 논문은 DiffServ 방식의 Assured Service를 이용하는 플로에게 QoS를 보장하기 위해 Admission Control이 수행된 상황 하에서 발생하는 RIO 방식의 문제점을 제시하고 이에 대한 해결 방안으로 Adaptive RIO 방식을 제안한다. 제안하는 Adaptive RIO 방식은 네트워크 토폴로지와 Assured Service 서브 클래스별로 할당되는 대역폭의 비율에 따라 결정되는 버퍼 크기를 기준으로 일정 시간 구간마다 도착 가능한 In-profile 패킷과 전체 패킷의 최대량을 고려하여 RIO의 변수 값들을 재설정함으로써 허용된 In-profile 패킷에 대한 확률적인 폐기 (Early Random Drop)를 방지한다. 시뮬레이션 결과는 Assured Service에 대해 Admission Control이 수행된 상황과 Congestion 상황에서 제안하는 Adaptive RIO 방식이 RIO 방식보다 In-profile 트래픽에 대한 보호와 수율 성능이 우수함을 보인다.

ALAN상에서 적응성 있는 웹 캐싱 서비스 (The Adaptive web caching service on application level active network)

  • 홍성준
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2003년도 춘계학술발표논문집 (중)
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    • pp.1161-1164
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    • 2003
  • 본 논문은 ALAN(Application Level Active Network)상에서 GME(Generic Modeling Environment)라고 불리는 컴포지션 메커니즘을 이용하는 AWCS(Adaptive Web Caching Service)에 관하여 언급하였다. ALAN상의 웹 캐싱의 요구사항은 자치 구성성(self-configuration)과 자치 적응성(self-adaptation)이다 이러한 요구사항을 지원하기 위해서 본 논문에서는 친AN상에서 IN(Intelligent Inetwork)에서 유래된 SCE(Service Creation Environment)와 유사한 서비스 컴포지션 메커니즘인 GME를 이용하여 AWCS 의 설계 및 구현에 관하여 언급하였다

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An Adaptive Weighted Regression and Guided Filter Hybrid Method for Hyperspectral Pansharpening

  • Dong, Wenqian;Xiao, Song
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권1호
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    • pp.327-346
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    • 2019
  • The goal of hyperspectral pansharpening is to combine a hyperspectral image (HSI) with a panchromatic image (PANI) derived from the same scene to obtain a single fused image. In this paper, a new hyperspectral pansharpening approach using adaptive weighted regression and guided filter is proposed. First, the intensity information (INT) of the HSI is obtained by the adaptive weighted regression algorithm. Especially, the optimization formula is solved to obtain the closed solution to reduce the calculation amount. Then, the proposed method proposes a new way to obtain the sufficient spatial information from the PANI and INT by guided filtering. Finally, the fused HSI is obtained by adding the extracted spatial information to the interpolated HSI. Experimental results demonstrate that the proposed approach achieves better property in preserving the spectral information as well as enhancing the spatial detail compared with other excellent approaches in visual interpretation and objective fusion metrics.