A Declarative Recommender System for Cloud Infrastructure Services Selection
Miranda Zhang, Rajiv Ranjan, Surya Nepal, Michael Menzel, Armin Haller

TL;DR
This paper introduces a declarative recommender system designed to assist users in selecting optimal cloud infrastructure services amidst a rapidly evolving landscape, simplifying decision-making.
Contribution
It presents a novel declarative framework that models user requirements and automates the selection process for cloud services, improving decision accuracy and efficiency.
Findings
The system effectively recommends suitable cloud services based on user specifications.
It outperforms traditional recommendation approaches in accuracy and usability.
The approach is validated through real-world case studies.
Abstract
The cloud infrastructure services landscape advances steadily leaving users in the agony of choice...
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 · IoT and Edge/Fog Computing · Caching and Content Delivery
