An Approach to Resolve Heterogeneity Using RPC in Client Server Systems

Garg, Suresh; Sejwal, Shobhika; Solanki, Jatin

doi:10.33564/ijeast.2019.v04i04.049

Cited by 5 publications

(3 citation statements)

References 4 publications

(1 reference statement)

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“…However, many hardware and software reliability models have been proposed to tackle hardware and software failures in recent decades. For instance, Garg (2019) provided a method for resolving heterogeneity in server-client systems utilizing Remote Procedure Call (RPC). Potapov et al (2019) used the Markov process to construct mathematical models for analyzing a system with a client-server architecture.…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis of Multi-Hardware–Software System with Failure Interaction

John

Sanusi

Ibrahim

et al. 2022

JCCE

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The effect of hardware and software plays a critical role in achieving high device reliability. Failure to communicate with hardware and software can be responsible for a short life and low system operation. The failure of the corresponding hardware is one factor contributing to the program’s failure and vice versa. Hardware and software reliability research activities and failure encounters are being undertaken, and hardware and software reliability models are being proposed. The reliability study of a multi-hardware–software system with hardware–software–hardware, hardware–software–software, software–hardware–software, and software–hardware–software failure interaction receives less attention. This paper analyzes the reliability of a multi-hardware–software system whose failure is classified into hardware–software–hardware, hardware–software–software, software–hardware–software, and software–hardware–hardware. The failure and repair time of the running hardware–software and standby hardware–software is assumed to be exponentially distributed. Differential difference equations are built and resolved to derive explicit formulations for profit, mean time to failure, and steady-state availability. In addition, some significant results are presented in the graphs and tables.

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Section: Introductionmentioning

confidence: 99%

Reliability Analysis of Multi-Hardware–Software System with Failure Interaction

John

Sanusi

Ibrahim

et al. 2022

JCCE

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“…Yusuf et al (2020) examined multicomputer system analysis consisting of three subsystems for different types of failure rates and two types of repair (General repair and Gumbel-Hougaard family copula) approaches. Garg et al (2019) studied k-out-of-n: G system and concluded that a k-out-of-n: G system is a mirror image of the k-out-of-n: F system. A case study for the train operation system was illustrated for reliability analysis and optimal design.…”

Section: Introductionmentioning

confidence: 99%

Performance assessment of the complex repairable system with n-identical units under (k-out-of-n: G) scheme and copula linguistic repair approach

Singh

Mohhammad

Ibrahim

et al. 2021

IJQRM

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PurposeThis paper analyzed a complex system consisting n-identical units under a k-out-of-n: G; configuration via a new method which has not been studied by previous researchers. The computed results are more supportable for repairable system performability analysis.Design/methodology/approachIn this paper, the authors have analyzed a complex system consisting n-identical units under a k-out-of-n: G; configuration via a new method which has not been studied by previous researchers. The supplementary variable technique has employed for analyzing the performance of the system.FindingsReliability measures have been computed for different types of configuration. It generalized the results for purely series and purely parallel configurations.Research limitations/implicationsThis research may be beneficial for industrial system performances whereas a k-out-of-n-type configuration exists.Practical implicationsNot sure as it is a theoretical assessment.Social implicationsThis research may not have social implications.Originality/valueThis work is the sole work of authors that have not been communicated to any other journal before.

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“…Ivanović et al (2017) discussed the effect of system design on the performance of client-server side software agent. Garg et al (2019) presented an approach in solving heterogeneity in client-server system.…”

Section: Introductionmentioning

confidence: 99%

Availability analysis of a distributed system with homogeneity in client and server under four different maintenance options

Yusuf

Auta

2021

Life Cycle Reliab Saf Eng

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System availability is a major performance in distributed system design and analysis. For reliability evaluation and system performance, this study analyzed a distributed system consisting of two hosts (clients) connected to two servers via a load balancer. The system is configured as series-parallel system consisting of three subsystems A, B and C. Subsystem A consists of two clients working in parallel with each other, subsystem B has two active parallel servers, while subsystem C consists of a load balancer. Clients, Servers and LD balancer failure and repair time are to be exponentially distributed. The system is under four different maintenance models: Model 1 is the system with perfect repair and replacement at total failure, Model 2 is repairable system with minimal repair at failure, Model 3 is the system with replacement at total failure and online preventive maintenance (PM) at partial failure and Model 4 is fault-tolerant system with replacement at total failure. The system is analyzed using first-order differential difference equations to derive the expressions for availability. The model is implemented using Java programming language. To make the computation and analysis of systems availability more efficient, numerical examples are presented to illustrate the performance of the model. Impact of both clients and server's failure and repair rates on availability is determined and presented in figures and graphs. The analysis of the results obtained with respect to the availability indicates that systems which are fault tolerant perform best and have the highest availability.

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An Approach to Resolve Heterogeneity Using RPC in Client Server Systems

Cited by 5 publications

References 4 publications

Reliability Analysis of Multi-Hardware–Software System with Failure Interaction

Reliability Analysis of Multi-Hardware–Software System with Failure Interaction

Performance assessment of the complex repairable system with n-identical units under (k-out-of-n: G) scheme and copula linguistic repair approach

Availability analysis of a distributed system with homogeneity in client and server under four different maintenance options

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