NEW APPROACH TO MULTI-LEVEL PROCESSOR SCHEDULING

2010 ◽  
Vol 19 (03) ◽  
pp. 335-346 ◽  
Author(s):  
SAMANEH HOSSEINI SEMNANI ◽  
KAMRAN ZAMANIFAR

The problem of finding the best quantum time in multi-level processor scheduling is addressed in this paper. Processor scheduling is one of the most important issues in operating systems design. Different schedulers are introduced to solve this problem. In one scheduling approach, processes are placed in different queues according to their properties, and the processor allocates time to each queue iteratively. One of the most important parameters of a processor's efficiency in this approach is the amount of time slices associated to each processor queue. In this paper, an ant colony optimization (ACO) algorithm is presented to solve the problem of finding appropriate time slices to assign to each processor queue. In this technique, each ant tries to find an appropriate scheduling. Ant algorithm searches the problem space to find the best scheduling. The quality of each ant's solution is evaluated using a new fitness function. This fitness function is designed according to the evaluation parameters of each processor queue and also according to the queue theory's relations. Also a heuristic function is presented which prompts ant to select better solutions. Computational tests are presented and the comparisons made with genetic algorithm (GA) and particle swarm optimization (PSO) algorithms which try to solve same problem. The results show the efficiency of this algorithm.

2019 ◽  
Vol 294 ◽  
pp. 06004
Author(s):  
Irina Savelieva ◽  
Serhij Melnikov ◽  
Alexandra Orlovska

The article examines one of the actual problems of the theory and practice of the logistics systems functioning related to the asymmetry of information in the transport services market. Assessing the level of asymmetry in logistics systems is of fundamental importance to increase the competitiveness of relevant systems. New approach formulated herein estimates the logistics systems asymmetry by taking into account information asymmetry about the quality of transport products, as well as information asymmetry about the quality of products within the boundaries of the corresponding supply chain. This approach allows to take into account its potential capabilities and increase functional stability in the process of logistics systems design.


Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 328 ◽  
Author(s):  
Husein S Naji Alwerfali ◽  
Mohammed A. A. Al-qaness ◽  
Mohamed Abd Elaziz ◽  
Ahmed A. Ewees ◽  
Diego Oliva ◽  
...  

Multi-level thresholding is one of the effective segmentation methods that have been applied in many applications. Traditional methods face challenges in determining the suitable threshold values; therefore, metaheuristic (MH) methods have been adopted to solve these challenges. In general, MH methods had been proposed by simulating natural behaviors of swarm ecosystems, such as birds, animals, and others. The current study proposes an alternative multi-level thresholding method based on a new MH method, a modified spherical search optimizer (SSO). This was performed by using the operators of the sine cosine algorithm (SCA) to enhance the exploitation ability of the SSO. Moreover, Fuzzy entropy is applied as the main fitness function to evaluate the quality of each solution inside the population of the proposed SSOSCA since Fuzzy entropy has established its performance in literature. Several images from the well-known Berkeley dataset were used to test and evaluate the proposed method. The evaluation outcomes approved that SSOSCA showed better performance than several existing methods according to different image segmentation measures.


Author(s):  
T. F. Stepanova

Aim. Evaluate the effectiveness of the developed new approach to the analysis of the activity of the epidemic process and the effectiveness of the prevention of parasitic diseases, based on a multi-level monitoring system. Materials and methods. The data of official statistical observation for 2010-2016 are analyzed for all subjects of the Russian Federation. To search for the regularities in large volumes of data, Data Mining is used. Results. The analysis made it possible to characterize the activity of the epidemic process of parasitic diseases in the territory of Russia. Application of methods of mathematical modeling allowed to form a prognosis of morbidity/affection by the results of sanitary-parasitological studies. The regions in which the inadequate quality of sanitary-parasitological studies led to discrepancies between actual and predicted lesions were identified. Conclusion. The conducted study made it possible to establish that the developed approach is effective for assessing the activity of the epidemic process and the effectiveness of preventing parasitic diseases, structuring statistical information by regions and nosologies, identifying trends in morbidity, and developing regional prevention programs.


2021 ◽  
Vol 30 (7) ◽  
pp. 416-421
Author(s):  
Phillip Correia Copley ◽  
John Emelifeonwu ◽  
Pasquale Gallo ◽  
Drahoslav Sokol ◽  
Jothy Kandasamy ◽  
...  

This article reports on the journey of a child with an inoperable hypothalamic-origin pilocytic astrocytoma causing hydrocephalus, which was refractory to treatment with shunts, and required a new approach. With multidisciplinary support, excellent nursing care and parental education, the child's hydrocephalus was managed long term in the community with bilateral long-tunnelled external ventricular drains (LTEVDs). This article describes the patient's journey and highlights the treatment protocols that were created to achieve this feat. Despite the difficulties in initially setting up these protocols, they proved successful and thus the team managing the patient proposed that LTEVDs are a viable treatment option for children with hydrocephalus in the context of inoperable tumours to help maximise quality of life.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Mustafa B. Al-Deen ◽  
Mazin Ali A. Ali ◽  
Zeyad A. Saleh

Abstract This paper presents a new approach to discover the effect of depth water for underwater visible light communications (UVLC). The quality of the optical link was investigated with varying water depth under coastal water types. The performance of the UVLC with multiple input–multiple output (MIMO) techniques was examined in terms of bit error rate (BER) and data rate. The theoretical result explains that there is a good performance for UVLC system under coastal water.


2020 ◽  
pp. 1-16
Author(s):  
Meriem Khelifa ◽  
Dalila Boughaci ◽  
Esma Aïmeur

The Traveling Tournament Problem (TTP) is concerned with finding a double round-robin tournament schedule that minimizes the total distances traveled by the teams. It has attracted significant interest recently since a favorable TTP schedule can result in significant savings for the league. This paper proposes an original evolutionary algorithm for TTP. We first propose a quick and effective constructive algorithm to construct a Double Round Robin Tournament (DRRT) schedule with low travel cost. We then describe an enhanced genetic algorithm with a new crossover operator to improve the travel cost of the generated schedules. A new heuristic for ordering efficiently the scheduled rounds is also proposed. The latter leads to significant enhancement in the quality of the schedules. The overall method is evaluated on publicly available standard benchmarks and compared with other techniques for TTP and UTTP (Unconstrained Traveling Tournament Problem). The computational experiment shows that the proposed approach could build very good solutions comparable to other state-of-the-art approaches or better than the current best solutions on UTTP. Further, our method provides new valuable solutions to some unsolved UTTP instances and outperforms prior methods for all US National League (NL) instances.


2021 ◽  
Vol 47 ◽  
pp. 101429
Author(s):  
Ana Carolina de Lira Quaresma ◽  
Flávio S. Francisco ◽  
Fernando L.P. Pessoa ◽  
Eduardo M. Queiroz

1973 ◽  
Vol 1 (3) ◽  
pp. 185-204
Author(s):  
Donald W. Meals

An examination of the steps in systems design reveals it to be an iterative process. The complexity and dynamic quality of the educational environment require designers of educational technology systems to emphasize this process and at the same time take into account conditions within the education system and the community that provide essential data. Examples of attempts to cope with these features of the design processes are presented along with implications for changes in the approach to the design of educational technology systems.


1999 ◽  
Vol 5 (2) ◽  
pp. 147-153 ◽  
Author(s):  
Dingjun Cui ◽  
Ian A. Craighead

The requirements for a special approach for the quality assessment of small high-speed centrifugal fans are outlined and a new parameter designating the noise levels from the product in comprehensive form will be discussed and described as a criterion for such quality assessment.By applying techniques of signal processing and condition monitoring, the sources of the vibration and noise in different sections of the product can be identified, then the noise from each source from different components can be determined. Using this criterion, more aspects of the quality of the products can be assessed and suggestions to improve the quality of the products can be made. Finally, the assessment of a number ofvacuum cleaner motor/fan units available in the commercial market will be presented and compared with conventional specifications. It will be shown that the new parameter provides a more useful indication of appliance quality.


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