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Pub/Sub-based Sensor virtualization framework for Cloud environment

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재후보 바로가기
  • 통권
    Volume 4 Number 2 (2015.11)바로가기
  • 페이지
    pp.109-119
  • 저자
    Mohammad Hasmat Ullah, Sung-Soon Park, Jaechun No, Gyeong Hun Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A258701

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원문정보

초록

영어
The interaction between wireless sensors such as Internet of Things (IoT) and Cloud is a new paradigm of communication virtualization to overcome resource and efficiency restriction. Cloud computing provides unlimited platform, resources, services and also covers almost every area of computing. On the other hand, Wireless Sensor Networks (WSN) has gained attention for their potential supports and attractive solutions such as IoT, environment monitoring, healthcare, military, critical infrastructure monitoring, home and industrial automation, transportation, business, etc. Besides, our virtual groups and social networks are in main role of information sharing. However, this sensor network lacks resource, storage capacity and computational power along with extensibility, fault-tolerance, reliability and openness. These data are not available to community groups or cloud environment for general purpose research or utilization yet. If we reduce the gap between real and virtual world by adding this WSN driven data to cloud environment and virtual communities, then it can gain a remarkable attention from all over, along with giving us the benefit in various sectors. We have proposed a Pub/Sub-based sensor virtualization framework Cloud environment. This integration provides resource, service, and storage with sensor driven data to the community. We have virtualized physical sensors as virtual sensors on cloud computing, while this middleware and virtual sensors are provisioned automatically to end users whenever they required. Our architecture provides service to end users without being concerned about its implementation details. Furthermore, we have proposed an efficient content-based event matching algorithm to analyze subscriptions and to publish proper contents in a cost-effective manner. We have evaluated our algorithm which shows better performance while comparing to that of previously proposed algorithms.

목차

Abstract
 1. INTRODUCTION
 2. RELATED WORKS
 3. VIRTUALIZATION FRAMEWORK
 4. EVENT MATCHING ALGORITHM
 5. EVALUATION
 6. CONCLUSIONS AND FUTURE WORK
 ACKNOWLEDGEMENT
 REFERENCES

저자

  • Mohammad Hasmat Ullah [ Department of Computer Science and Engineering, Anyang University, Gluesys Co., Ltd., Korea ]
  • Sung-Soon Park [ Department of Computer Science and Engineering, Anyang University, Gluesys Co., Ltd., Korea ] Corresponding Author
  • Jaechun No [ Dept. of Computer Software, Sejong University, Korea ]
  • Gyeong Hun Kim [ Gluesys Co., Ltd., Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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