Design and evaluation of a neurofuzzy CPU scheduling algorithm

Jawad, Shatha

doi:10.1109/icnsc.2014.6819667

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…Sh. Javad [13] presented an attempt to apply neuro-fuzzy in the development and realization of a rule-based planning algorithm to eliminate the disadvantage of known planning algorithms. The decision maker on the basis of fuzzy data was asked to calculate the new priority of all CPU processes in accordance with the priority of the process and the time of its execution.…”

Section: Fuzzy Set Theory Based Approachesmentioning

confidence: 99%

Application of Fuzzy Logic for Problems of Evaluating States of a Computing System

Buriboev

Kang

et al. 2019

Applied Sciences

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The monitoring utilization and workloads of computer hardware components, such as CPU, RAM, bus, and storage, are an ideal way to evaluate the effectiveness of these components. In this paper, we surveyed the basic concepts, characteristics, and parameters of computer systems that determine system performance, and the types of models that provide adequate modeling of these systems. We investigated and developed the applied aspects of the theory of fuzzy sets’ principles and the Matlab environment tools for monitoring and evaluating the state of computing systems. The idea of the paper is to identify the state of the computer infrastructure by using the models of Mamdani and Sugeno FIS (fuzzy inference system) to evaluate the impact of RAM and storage on CPU performance. With this approach, we observed the behavior of computer infrastructure. The results are useful for understanding performance issues with regard to specific bottlenecks and determining the correlation of performance counters. Moreover, the model presents linguistic results. Hereafter, performance counter correlations will support the development of algorithms that can detect whether the performance of a given computer will be affected by a reasonable priority. The performance assertions derived from these approaches allow resource management policies to prevent performance degradation, and as a result, the infrastructure will be able to serve safely as expected. These methods can be applied across the entire spectrum of computer systems, from personal computers to large mainframes and supercomputers, including both centralized and distributed systems. We look forward to their continued use, as well as their improvement when it is necessary to evaluate future systems.

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Section: Fuzzy Set Theory Based Approachesmentioning

confidence: 99%

Application of Fuzzy Logic for Problems of Evaluating States of a Computing System

Buriboev

Kang

et al. 2019

Applied Sciences

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“…If a CPU-intensive process blocks the CPU, multiple I/O intensive processes can be backed up, which leaves the I/O devices idle. This can also leave the CPU idle while everyone queues for I/O, and the cycle repeats itself when the CPU-intensive process comes back on the queue [8][9][10].…”

Section: First Come First Scheduling (Fcfs)mentioning

confidence: 99%

“…They have created a simple scheduling algorithm based on their evolutionary method for uniprocessor scheduling and compared their scheduling algorithm with SJF and FCFS scheduling to minimize average wait times. Shatha Jawad, in [9] proposed a Neuro-fuzzy scheduling approach for the application and amended algorithm of CPU scheduling to maximize reaction time and minimize average time and turnaround time. This is done by integrating well-known timetables, including SJF preventive scheduling and scheduling using the neuro-fuzzy methodology.…”

mentioning

confidence: 99%

Optimal CPU Jobs Scheduling Method Based on Simulated Annealing Algorithm

Kareem

Hussein²

2022

eijs

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Task scheduling in an important element in a distributed system. It is vital how the jobs are correctly assigned for each computer’s processor to improve performance. The presented approaches attempt to reduce the expense of optimizing the use of the CPU. These techniques mostly lack planning and in need to be comprehensive. To address this fault, a hybrid optimization scheduling technique is proposed for the hybridization of both First-Come First-Served (FCFS), and Shortest Job First (SJF). In addition, we propose to apply Simulated Annealing (SA) algorithm as an optimization technique to find optimal job’s execution sequence considering both job’s entrance time and job’s execution time to balance them to reduce the job’s waiting time to be executed. As a result, this research proves that the proposed technique achieves an optimization efficiency with a percentage average 45.5 % according to the FCFS algorithm and 54.5% according to SJF method.

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“…They developed a simple scheduling algorithm according to genetic-approach for scheduling processes on uniprocessor and have compared reduce average waiting-time of their scheduling algorithm with SJF and FCFS scheduling. Moreover, Shatha Jawad in [40] Proposed Neuro-fuzzy-based scheduling technique in the applying and modified CPU scheduling algorithm to maximize the time of response and reduce average waiting time, and turn-around time. This is achieved by combining well-known scheduling schemes, including preemptive SJF and pre-emptive priority scheduling with the Neuro-fuzzy method.…”

Section: Prakash Patil and Chaitali Borse Inmentioning

confidence: 99%

CPU Scheduling Techniques: A Review on Novel Approaches Strategy and Performance Assessment

Harki¹,

Ahmed²,

Haji³

2020

JASTT

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The operating system (OS) is now being widely used in many of the various modern applications in recent years, ranging from diabetic monitoring to other strategic planning. The main function of any OS is to control and coordinate all hardware resources among the commands of the same/different user, which increases the efficiency of advanced comprehensive applications. In an autonomous computer system, the CPU is one of the important resources to manage and process all activities which require scheduling techniques on a processor. Since the early days of computing and other multi-programming OS, various studies have been assigned to CPU scheduling techniques based on processes management and performance evaluation. Thus, outlining the many issues related to scheduling methodologies and the weaknesses that need to be addressed. This review paper is organized based on two distinct perspectives: the implement strategies of CPU scheduling technique and criteria-based measures used, which assess how the strategies are analyzed and used under performance evaluation.

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Design and evaluation of a neurofuzzy CPU scheduling algorithm

Cited by 4 publications

References 7 publications

Application of Fuzzy Logic for Problems of Evaluating States of a Computing System

Application of Fuzzy Logic for Problems of Evaluating States of a Computing System

Optimal CPU Jobs Scheduling Method Based on Simulated Annealing Algorithm

CPU Scheduling Techniques: A Review on Novel Approaches Strategy and Performance Assessment

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