Papers for

edge infrastructure operators

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Three tier registry improves edge cloud service deployment reliability

Distributed Service Orchestration in Edge-Cloud Continuum for Digital Healthcare

Abstract: Today's digital healthcare services rely on various applications and functions that must be continuously accessible. Cloud computing enables global access to these services through public networks, which often also introduce increased latency, higher bandwidth consumption, and additional security risks compared to local operation. Edge computing mitigates these challenges by deploying cloud services closer to the end users and data sources, thereby improving resilience to network disruptions and reducing latency, bandwidth usage, and exposure to security threats. However, service deployment typically relies on the availability of centralized registry servers. Consequently, if the network connection or the registry server itself becomes unavailable, service deployment at the target edge node may fail. To address this, we propose a three-tier registry architecture to enhance deployment reliability and service availability, considering DockerHub as a remote public registry, an MEC-based off-premises registry as a remote private registry, and a LAN-based on-premises registry as a local private registry. The performance and efficiency are analyzed through measurements related to the estimated deployment time, inflicted network and computational load, and energy consumption, while the required nanoservices are deployed from different tiers. The experimental results indicate that alongside the improved tolerance to network disruptions, the local private and remote private registries also outperform the remote public registry in the deployment performance. The findings highlight the effectiveness of proximity-aware service distribution in improving the resilience, performance and efficiency of service deployment.

Wed 23 SeptDistributed, Parallel, and Cluster Computing
The gist
Digital healthcare apps need to be up and running all the time but using big cloud servers far away can slow them down and be less secure. The authors look at edge computing, which puts cloud services closer to users to fix this, but points out a problem: if a central place that keeps track of service info goes offline, deployment can fail. To solve this, they propose using three layers of registries—from a local one nearby to public ones far away—for better reliability and performance. Their tests show this method makes healthcare service deployment faster, more efficient, and more resilient to network issues.
Open → 2609.28855v1