Conference paper Open Access

CloudsStorm: An Application-driven DevOps Framework for Managing Networked Infrastructures on Federated Clouds

Zhou, Huan; de Laat, Cees; Zhao, Zhiming

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1162914", 
  "language": "eng", 
  "title": "CloudsStorm: An Application-driven DevOps Framework for Managing Networked Infrastructures on Federated Clouds", 
  "issued": {
    "date-parts": [
  "abstract": "<p>Most clouds provide dedicated virtual infrastructures</p>\n\n<p>to cloud applications with only limited programmability</p>\n\n<p>and controllability, which enlarges the management gap between</p>\n\n<p>infrastructures and applications. Traditional DevOps (development</p>\n\n<p>and operations) approaches are not suitable in today&rsquo;s</p>\n\n<p>cloud environments, because of the slow, manual and error-prone</p>\n\n<p>collaboration between developers and operations personnel. To</p>\n\n<p>address this issue, there have been a number of DevOps tools or</p>\n\n<p>frameworks proposed for cloud. However, most of them focus on</p>\n\n<p>infrastructures without considering the application requirements.</p>\n\n<p>It becomes even more difficult when managing infrastructures</p>\n\n<p>across multiple data centers or clouds. To mitigate this gap,</p>\n\n<p>we have designed CloudsStorm, an application-driven DevOps</p>\n\n<p>framework that allows the application directly program and control</p>\n\n<p>its infrastructure. In particular, it provides multi-level programmability</p>\n\n<p>and controllability according to the applications&rsquo;</p>\n\n<p>specifications. We evaluate it by comparing its functionality to</p>\n\n<p>other proposed solutions. Moreover, we implement an extensible</p>\n\n<p>TSV-Engine, which is the core component of CloudsStorm for</p>\n\n<p>managing infrastructures&rsquo; lifecycle. It is the first to be able to</p>\n\n<p>provision a networked infrastructure among public clouds. At</p>\n\n<p>last, we conduct a set of experiments on actual clouds and</p>\n\n<p>compare with other related DevOps tools. The experimental</p>\n\n<p>results demonstrate our solution is efficient and outperforms</p>\n\n<p>others.</p>", 
  "author": [
      "family": "Zhou, Huan"
      "family": "de Laat, Cees"
      "family": "Zhao, Zhiming"
  "id": "1162914", 
  "event-place": "Amsterdam, the Netherlands", 
  "type": "paper-conference", 
  "event": "the 3rd edition in the series of workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18) (IT4RIs)"
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