This workshop will provide the scientific and industrial communities a dedicated forum to present new research, development, and deployment efforts in the field of System Reliability in Cloud Computing and Big Data. Recently, while significant advancements have been made to increase the system reliability of cloud computing and big data that improve the Quality of Service, such improvements are often circumscribed to the huge cloud data centers run by large cloud companies. Even stronger effort is needed to improve the reliability of these platform, as users are more tending to put their own data and business online. In this respect, advancements are needed both to monitor and improve the reliability of these systems.
The list of topics includes, but is not limited to:
Authors are invited to submit original unpublished research papers as well as industrial practice papers. Simultaneous submissions to other conferences are not permitted. Detailed instructions for electronic paper submission, panel proposals, and review process can be found at https://qrs22.techconf.org/submission.
The length of a camera ready paper will be limited to eight pages. Each paper should include a title, the name and affiliation of each author, a 150-word abstract, and up to 6 keywords. Shorter version papers (up to four pages) are also allowed.
All papers must conform to the QRS conference proceedings format (PDF | Word DOCX | Latex) and Submission Guideline set in advance by QRS 2022 co-located workshops. At least one of the authors of each accepted paper is required to pay full registration fee and present the paper at the workshop. Arrangements are being made to publish selected accepted papers in reputable journals. Submissions must be in PDF format and uploaded to the conference submission site.
Submission| Name | Affiliation |
|---|---|
| Peng Sun | Southwest Jiaotong University |
| Xiwei Qiu | University of Electronic Science and Technology of China |
