An Algorithmic-Based Fault Detection Technique for the 1-D Discrete Cosine Transform

Aranda, Luis Alberto; Sánchez‐Macian, Alfonso; Maestro, Juan Antonio

doi:10.1109/tvlsi.2020.2969094

Cited by 5 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At present, many experts and scholars have discussed and studied DDS and redundancy strategies, and have achieved good results. For example, researchers such as Aranda LA integrated the control of transport network with distributed edge and cloud resources to deploy dynamic and efficient IoT services in order to efficiently allocate IoT analytics and use network resources [6]. Scholars such as Omar H believe that distribution feeder reconfiguration is a mixed integer nonlinear programming problem and is difficult to solve.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Distributed Based on PLC Software Redundancy

2022

DPS

View full text Add to dashboard Cite

At present, with the development of technology, dynamic distributed system (DDS) have been widely developed in many fields, and the maintenance requirements of the system have also undergone great changes. There are still many places worth discussing about the redundant fault-tolerant mechanism for data loss., so this paper studies the DDS based on PCL soft redundancy. The research on DDS in this paper can be divided into three parts. First, it introduces the architecture of distributed system(DS), dynamic monitoring resources, and an overview of redundant fault-tolerant mechanisms, followed by the collection nodes and resource management of DS. Design, and finally analyze the node repair collection degree and download time.

show abstract

Section: Introductionmentioning

confidence: 99%

Dynamic Distributed Based on PLC Software Redundancy

2022

DPS

View full text Add to dashboard Cite

show abstract

A Distributed Fault Tolerant Algorithm for Load Balancing in Cloud Computing Environments

Semmoud,

Hakem,

Benmammar

2022

E3S Web Conf.

View full text Add to dashboard Cite

Cloud computing is a promising paradigm that provides users with higher computing benefits in terms of cost, availability and flexibility. Nevertheless, with potentially thousands of connected machines, faults become more frequent and may have an adverse effect on the application. Consequently, fault-tolerant load balancing becomes necessary in order to optimize resource utilization while ensuring the reliability of the system. Different approaches have been proposed in the literature for fault tolerance in cloud computing. However, they suffer from several shortcomings: some fault tolerance techniques use task replication which reduce the cloud’s efficiency in terms of resource utilization. While other models rely on checkpoint recovery to tolerate failures, resulting in an increase in the mean response time. To address these shortcomings, an efficient and adaptive fault tolerant algorithm for load balancing is proposed. Based on the CloudSim simulator, some series of test-bed scenarios are considered to assess the behavior of the proposed algorithm.

show abstract

Gradient Descent Iterative Correction Unit for Fixed Point Parity Based Codes

Boncalo,

Amaricai

2023

2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

View full text Add to dashboard Cite

An Algorithmic-Based Fault Detection Technique for the 1-D Discrete Cosine Transform

Cited by 5 publications

References 19 publications

Dynamic Distributed Based on PLC Software Redundancy

Dynamic Distributed Based on PLC Software Redundancy

A Distributed Fault Tolerant Algorithm for Load Balancing in Cloud Computing Environments

Gradient Descent Iterative Correction Unit for Fixed Point Parity Based Codes

Contact Info

Product

Resources

About