Skip to content
Book Open access

Toward Continuous Service in Enterprise-Level Distributed Block Storage Systems

Sep 2026 · International Conference on Parallel Processing · pp. 575-583 · 0 citations · 52 references
Computer Science

TL;DR

A fully symmetric and decentralized architecture is introduced, eliminating single points of failure, together with an optimized failure detection mechanism and a temporary primary-replica based recovery procedure, providing a robust solution for enterprise-level storage environments.

Abstract

This study investigates methods to reduce failure-induced downtime to the sub-second scale. We introduce a fully symmetric and decentralized architecture, eliminating single points of failure, together with an optimized failure detection mechanism and a temporary primary-replica based recovery procedure. The proposed design enables failure detection within 700 milliseconds and sustains uninterrupted I/O service by seamlessly promoting a secondary replica to a temporary primary, while concurrently restoring complete data to it and eventually transitioning it to a permanent role. We have implemented a Distributed Storage System, named ZDBS, in which the proposed mechanisms are fully integrated, and conducted extensive experimental evaluations. The results demonstrate that ZDBS substantially improves system availability across diverse failure scenarios, providing a robust solution for enterprise-level storage environments. Furthermore, we believe that the underlying principles of our approach can also be extended to other types of distributed systems to further enhance their availability.

Read PDF

Similar papers

Open access Oct 2026

Advanced synchronization strategies in metacloud systems for reliable distributed data storage

The exponential growth of distributed data storage and the limitations of single-provider cloud infrastructures have motivated the emergence of metacloud systems, integrated environments that connect multiple independent cloud platforms to enhance data reliability and security. This paper presents an advanced synchroni...

Ghassan Adnan Hammoodi Al-Bdairi, Saad Talib Hasson · 0 citations
Open access Oct 2026

Checkpointing for scalable crash-tolerance in the context of enterprise digitalization systems

This paper presents a scalable fault-tolerant framework for enterprise digitalization systems using optimized checkpointing and rollback-recovery mechanisms. The study introduces a novel mathematical model to determine optimal checkpointing intervals, minimizing performance overhead while ensuring rapid recovery from f...

G. Balakayeva, P. Ezhilchelvan, M. Zhanuzakov · 0 citations
Review Sep 2026

Server-Side Component for Centralized Log Collection and Storage in Distributed Computing Systems

The objective of this study is to improve the efficiency and reliability of centralized collection and analytical availability of diagnostic data in distributed information systems. The study reviews local Syslog-based approaches, broker-based solutions, architectural styles, and relevant technology stacks. A centraliz...

A. A. Okonov, K. S. Zaitsev, M. Dunaev · 0 citations
Preprint Sep 2026

Ermes: a Stateful Serverless Platform for the Edge-to-Cloud Continuum

This paper proposes Ermes, a distributed platform that natively integrates state management into the FaaS paradigm, enabling the joint distribution of computational workloads and application state across the edge-to-cloud continuum.

Matteo Cenzato, Dario d'Abate, Arianna Dragoni et al. · 0 citations
Conference Open access Sep 2026

Experimental Evaluation of Cross-Domain Data Synchronization Architectures Under Consistency and Failure Constraints

Domain-oriented architectures improve ownership boundaries in large enterprise systems, but operational workflows frequently require data owned by neighboring domains. This creates a recurring design problem in which teams must balance freshness, availability, and operational isolation when sharing data across domain b...

V. Arputharaj · 0 citations
Open access Sep 2026

Modern Service Discovery Architectures for Internet-Scale Distributed Systems

Distributed applications increasingly cannot know in advance where the services they depend on will be running, since workloads move, scale, and fail over continuously across cloud and container environments. This article examines how service discovery has evolved from a simple endpoint lookup mechanism into a real-tim...

Sanjay Singh · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.