Earticle

초록

영어

With the development of the cloud computing, increasing application and service based on cloud can be used by end-users. However, for these applications, the end-users can only use them passively. Without the programming experience, the end-users hardly involve their knowledge and awareness into the logic of applications. Cloud computing can provide large storage and computing resources for end-users on demand, and the Web of Things and sensor network can provide various kinds of information which is beyond the users’ own sense. In our opinion, the end-users in cloud computing environment have the ability to develop and design the function of applications by themselves through their knowledge and awareness. Therefore, we proposed the Cloud-Brain, a knowledge-based developing approach for end-user in cloud computing. In our approach, the presentation of fact and knowledge in cloud is considered. The rule engine and service-oriented architecture are involved in processing the knowledge in the cloud. End-users can upload their knowledge and awareness in the form of rule into cloud. At the same time, the system collects facts and data from Web of Things or sensor network. The actions in these rules, which have matching facts, call the web service or other function for users. A prototype was implemented to verify the feasibility of this method. Here, we also present a case study to demonstrate the functionality, performance, and potential of the approach.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Model and Architecture
  3.1. Knowledge-based Development Model
  3.2. Architecture in Cloud Environment
 4. Key Points of Cloud-Brain
  4.1. Presentation of Facts
  4.2. Lifetime of Facts
  4.3. Presentation of User’s Knowledge
  4.4. Reasoning Process
  4.5. Interaction Mode
 5. Prototype and System Implementation
  5.1. Prototype in Single Server
  5.2. Cloud-Brain System in Cloud Platform
 6. Experiment and Demos
  6.1. Experiment for the Performance of Rule Engine
  6.2. Demos of the End-user Development
 7. Conclusions and Future Work
 Acknowledgement
 References

키워드

저자

• Rui Zhou [ School of Computer Science and Technology University of Science and Technology of China, Hefei, 230026, China ]
• Guowei Wang [ School of Computer Science and Technology University of Science and Technology of China, Hefei, 230026, China ]
• Jinghan Wang [ School of Computer Science and Technology University of Science and Technology of China, Hefei, 230026, China ]
• Jing Li [ School of Computer Science and Technology University of Science and Technology of China, Hefei, 230026, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605