Semantics-aware Virtual Machine Image Management in IaaS Clouds
Nishant Saurabh, Julian Remmers, Dragi Kimovski, Radu Prodan, Jorge G., Barbosa

TL;DR
This paper introduces Expelliarmus, a semantics-aware system for managing virtual machine images in IaaS clouds that reduces storage and overheads by leveraging semantic graphs and image decomposition.
Contribution
It presents a novel VMI management system that utilizes semantic graphs and decomposition to optimize storage and retrieval efficiency in cloud environments.
Findings
Repository size reduced by 2.2-16 times compared to existing systems.
Significant reduction in publish overheads and slight improvement in retrieval performance.
Effective VMI similarity computation using semantic graph modeling.
Abstract
Infrastructure-as-a-service (IaaS) Clouds concurrently accommodate diverse sets of user requests, requiring an efficient strategy for storing and retrieving virtual machine images (VMIs) at a large scale. The VMI storage management require dealing with multiple VMIs, typically in the magnitude of gigabytes, which entails VMI sprawl issues hindering the elastic resource management and provisioning. Nevertheless, existing techniques to facilitate VMI management overlook VMI semantics (i.e at the level of base image and software packages) with either restricted possibility to identify and extract reusable functionalities or with higher VMI publish and retrieval overheads. In this paper, we design, implement and evaluate Expelliarmus, a novel VMI management system that helps to minimize storage, publish and retrieval overheads. To achieve this goal, Expelliarmus incorporates three…
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