Making Availability as a Service in the Clouds
Pengfei Chen, Yong Qi, Peipei Wang, Li Su, Xinyi Li

TL;DR
This paper introduces 'Availability as a Service' (AaaS), a novel cloud service providing detailed, real-time availability analysis for applications, addressing current limitations in cloud availability management.
Contribution
It proposes the AaaS concept, develops a prototype 'EagleEye', and demonstrates how comprehensive availability insights can be delivered to cloud users.
Findings
Prototype 'EagleEye' successfully provides detailed availability data.
AaaS enhances transparency and troubleshooting for cloud applications.
Potential integration of AaaS into future cloud management systems.
Abstract
Cloud computing has achieved great success in modern IT industry as an excellent computing paradigm due to its flexible management and elastic resource sharing. To date, cloud computing takes an irrepalceable position in our socioeconomic system and influences almost every aspect of our daily life. However, it is still in its infancy, many problems still exist.Besides the hotly-debated security problem, availability is also an urgent issue.With the limited power of availability mechanisms provided in present cloud platform, we can hardly get detailed availability information of current applications such as the root causes of availability problem,mean time to failure, etc. Thus a new mechanism based on deep avaliability analysis is neccessary and benificial.Following the prevalent terminology 'XaaS',this paper proposes a new win-win concept for cloud users and providers in term of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCloud Computing and Resource Management · Software System Performance and Reliability · Cloud Data Security Solutions
