MobileRE: A replicas prioritized hybrid fault tolerance strategy for mobile distributed system

Wu, Yu; Liu, Duo; Chen, Xianzhang; Ren, Jing; Liu, Ren Ping; Tan, Yujuan; Zhang, Ziling

doi:10.1016/j.sysarc.2021.102217

Cited by 7 publications

(3 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We have seen a growing trend in research and development for edge computing and edge storage, We formulate the word transportation (WT) problem by treating the matching between queries an minimum word transportation cost (MWTC), which serves as a similarity metric between queries and documents, is computed using WT problems [15].…”

Section: System Architecturementioning

confidence: 99%

An Optimized Data Storage in A Secure Cloud-Edge Collaboration A Fault Tolerance Approach

M. Manideepsai,

U. Vineeth Goud,

CH. Vinay Goud

et al. 2024

Int J Sci Res Sci Eng Technol

View full text Add to dashboard Cite

The rise of edge smart IoT devices has led to the development of edge storage systems (ESS) for efficient access to massive edge data. ESS can reduce the load on cloud centers and improve user experience. However, ESS still faces challenges in improving fault tolerance and efficiency. Thus, there is a need for a secure and efficient fault-tolerant storage scheme. Existing schemes have drawbacks like high edge storage overhead, difficulty in protecting edge data privacy, and low data writing performance. To address these issues, we propose a Hierarchical Cloud-Edge Collaborative Fault-Tolerant Storage (HCEFT) model. This model aims to enhance system robustness, reduce edge storage overhead, and ensure edge data privacy. We also introduce an optimization method for data writing in HCEFT, called ECWSS (Erasure Code data Writing method based on Steiner tree and SDN). This method improves the trade-off between data writing time and traffic consumption. Our scheme improves data robustness, availability, and security. Additionally, the writing optimization method reduces data write time by 13%-67% and network traffic consumption by 20%-62%, enhancing network load balance performance.

show abstract

Section: System Architecturementioning

confidence: 99%

An Optimized Data Storage in A Secure Cloud-Edge Collaboration A Fault Tolerance Approach

M. Manideepsai,

U. Vineeth Goud,

CH. Vinay Goud

et al. 2024

Int J Sci Res Sci Eng Technol

View full text Add to dashboard Cite

show abstract

“…In all stated systems, fault tolerance is the main concern of all algorithms. In [9], hybrid of traditional fault tolerance methods discuss for mobile distributed systems. Dependently fast library uses in [10] to implement the interface to prevent unexpected fail-slow tolerant distributed systems.…”

Section: Background and Preliminariesmentioning

confidence: 99%

“…In [16] also the fault-tolerance concept implements in big data. Based on aforementioned work, it is clear that fault tolerance is not important in RTS only, but in every domain [9][10][11][12][13][14][15][16][17].…”

Section: Background and Preliminariesmentioning

confidence: 99%

Fault Tolerance in the Joint EDF-RMS Algorithm: A Comparative Simulation Study

Sharma¹,

Nitin²,

Dahiya³

2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

Failure is a systemic error that affects overall system performance and may eventually crash across the entire configuration. In Real-Time Systems (RTS), deadline is the key to successful completion of the program. If tasks effectively meet the deadline, it means the system is working in pristine order. However, missing the deadline means a systemic fault due to which the system can crash (hard RTS) or degrade inclusive performance (soft RTS). To fine-tune the RTS, tolerance is the critical issue and must be handled with extreme care. This article explains the context of fault tolerance with improvised Joint EDF-RMS algorithm in RTS. The backup method has been derived to prevent the system from being recursively migrating the same task. If any task migrates three times, this migrated task will get shifted to the backup queue. This backup queue assigns the task to a backup processor and is destined for final execution. For performance evaluation purposes, a relative graph between fault and failure rates, failure and total processor utilization along with other averages have been evaluated. Furthermore, these archived results are compared with fault-tolerant Earliest Deadline First (EDF) and Rate Monotonic Scheduling (RMS) algorithms independently in relatively similar conditions. These comparisons show better performance against overloading conditions.

show abstract

DSPR: Secure decentralized storage with proof-of-replication for edge devices

Chen

et al. 2022

Journal of Systems Architecture

View full text Add to dashboard Cite

MobileRE: A replicas prioritized hybrid fault tolerance strategy for mobile distributed system

Cited by 7 publications

References 49 publications

An Optimized Data Storage in A Secure Cloud-Edge Collaboration A Fault Tolerance Approach

An Optimized Data Storage in A Secure Cloud-Edge Collaboration A Fault Tolerance Approach

Fault Tolerance in the Joint EDF-RMS Algorithm: A Comparative Simulation Study

DSPR: Secure decentralized storage with proof-of-replication for edge devices

Contact Info

Product

Resources

About