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基于分布式代理的云资源调度中可信数据获取机制(英文)
  • ISSN号:1673-5447
  • 期刊名称:《中国通信:英文版》
  • 时间:0
  • 分类:TN[电子电信]
  • 作者机构:[1]Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, [2]Beijing University of Posts and Telecommunications
  • 相关基金:supported by the National Basic Research Program of China (973 Program) (No. 2012CB821200 (2012CB821206)); the National Nature Science Foundation of China (No.61003281, No.91024001 and No.61070142); Beijing Natural Science Foundation (Study on Internet Multi-mode Area Information Accurate Searching and Mining Based on Agent, No.4111002); the Chinese Universities Scientific Fund under Grant No.BUPT 2009RC0201
中文摘要:

Cloud computing is a new paradigm in which dynamic and virtualized computing resources are provided as services over the Internet. However, because cloud resource is open and dynamically configured, resource allocation and scheduling are extremely important challenges in cloud infrastructure. Based on distributed agents, this paper presents trusted data acquisition mechanism for efficient scheduling cloud resources to satisfy various user requests. Our mechanism defines, collects and analyzes multiple key t...

英文摘要:

Goud computing is a new paradigm in which dynamic and virtualized computing resources are provided as services over the Internet. However, because cloud resource is open and dynamically configured, resource allocation and scheduling are extremely important challenges in cloud infrastructure. Based on distributed agents, this paper presents trusted data acquisition mechanism for efficient scheduling cloud resources to satisfy various user requests. Our mechanism defines, collects and analyzes multiple key trust targets of cloud service resources based on historical information of servers in a cloud data center. As a result, using our trust computing mechanism, cloud providers can utilize their resources efficiently and also provide highly trusted resources and services to many users.

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期刊信息
  • 《中国通信:英文版》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国通信学会
  • 主编:刘复利
  • 地址:北京市东城区广渠门内大街80号6层608
  • 邮编:100062
  • 邮箱:editor@ezcom.cn
  • 电话:010-64553845
  • 国际标准刊号:ISSN:1673-5447
  • 国内统一刊号:ISSN:11-5439/TN
  • 邮发代号:2-539
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:187