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  • 标题:CACS: Cloud Environment Autonomic Computing System
  • 本地全文:下载
  • 作者:Rizik M. H. Al-Sayyed ; Hussam N. Fakhouri ; Sharefa F. Murad
  • 期刊名称:Journal of Software Engineering and Applications
  • 印刷版ISSN:1945-3116
  • 电子版ISSN:1945-3124
  • 出版年度:2017
  • 卷号:10
  • 期号:03
  • 页码:273-287
  • DOI:10.4236/jsea.2017.103016
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:This work proposes the adoption of Autonomic Computing System (ACS) in Cloud environment. ACS was first introduced by IBM to create systems capable of managing automatic self-configuration, self-healing, self-optimization and self-protection. These systems detect errors that cause failure, and then recover and reconfigure itself. The concept is wildly adapted by many software applications that have many restoring and recovery functionality such as operating systems (e.g. Windows Server 2012). This paper proposes a cloud ACS (CACS) for cloud computing environment that monitors, diagnoses, checks and heals cloud applications automatically and immediately with almost unnoticeable recovery time. In order to evaluate CACS, an application has been developed and applied for real time cloud applications. The results of different experiments scenarios demonstrate the ability of adopting the proposed system to heal well cloud applications. CACS is also compared with Windows Server 2012 operating system in terms of healing ability, speed, cost, methodology and other informative information. CACS showed domination in almost all of these properties.
  • 关键词:Cloud Applications;Self-Healing;Auto-Restoring;Auto-Backup
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