scholarly journals Constructing Reliable Computing Environments on Top of Amazon EC2 Spot Instances

Algorithms ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 187
Author(s):  
Altino M. Sampaio ◽  
Jorge G. Barbosa
Keyword(s):  
Scheduling Algorithm ◽  
Real Life ◽  
Cloud Provider ◽  
Case Scenario ◽  
Fixed Price ◽  
Virtual Clusters ◽  
Computing Environments ◽  
Behavior Characteristics ◽  
And Behavior

Cloud provider Amazon Elastic Compute Cloud (EC2) gives access to resources in the form of virtual servers, also known as instances. EC2 spot instances (SIs) offer spare computational capacity at steep discounts compared to reliable and fixed price on-demand instances. The drawback, however, is that the delay in acquiring spots can be incredible high. Moreover, SIs may not always be available as they can be reclaimed by EC2 at any given time, with a two-minute interruption notice. In this paper, we propose a multi-workflow scheduling algorithm, allied with a container migration-based mechanism, to dynamically construct and readjust virtual clusters on top of non-reserved EC2 pricing model instances. Our solution leverages recent findings on performance and behavior characteristics of EC2 spots. We conducted simulations by submitting real-life workflow applications, constrained by user-defined deadline and budget quality of service (QoS) parameters. The results indicate that our solution improves the rate of completed tasks by almost 20%, and the rate of completed workflows by at least 30%, compared with other state-of-the-art algorithms, for a worse-case scenario.

Qualitative assessment of equipment failure cause finding and removal

2018 ◽  
pp. 116-126
Author(s):  
E. A. Vakulin ◽  
A. I. Zayats ◽  
V. A. Beklemeshev ◽  
V. A. Ivashkevich ◽  
V. A. Khazhiev ◽  
...  
Keyword(s):  
Production Condition ◽  
Real Life ◽  
Open Pit Mine ◽  
Qualitative Assessment ◽  
Open Pit ◽  
Quality Level ◽  
Equipment Failure ◽  
Operation Conditions ◽  
Failure Investigation

Investigation of failures is one of the critical activities of mining and haulage equipment operability assurance in mining. Maintaining failure investigation at the required quality level, it is possible to identify provisions, rules and procedures that should be revised or changed, operation conditions that should be improved, additional personnel training, if required, etc. Investigation of failures in mines is under responsibility of machine men and electricians of maintenance and operation services. In reality, factory management and setup for production condition weak concernment of these workers in quality investigation aimed at finding of sources of equipment failures. This article describes real-life results achieved in development and use of maintenance service operation, technology and management monitoring. The requirements are substantiated for quality improvement in failure cause finding and removal in mining and haulage equipment at Chernogorsky open pit mine, SUEK-Khakassia. Causes of the present quality of failure investigation by machine men of Chernogorsky Repair and Engineering Works and Chernogorsky open pit mine are revealed. The proposed recommended practices will improve quality of mining and haulage equipment failure investigation.

Korelasi kreativitas dan motivasi kerja guru terhadap peningkatan mutu pembelajaran

2016 ◽  
Vol 1 (1) ◽  
pp. 51
Author(s):  
Muh Nashiruddin ◽  
Anharurrohman El Muhammadi
Keyword(s):  
Religious Education ◽  
Work Motivation ◽  
Sampling Technique ◽  
Islamic Education ◽  
Learning Improvement ◽  
Average Value ◽  
Teacher Creativity ◽  
Teacher Work ◽  
And Behavior

Penelitian ini bertujuan untuk mengetahui korelasi antara: 1) kreativitas guru PAI terhadap peningkatan mutu pembelajaran Pendidikan Agama dan Budi Pekerti , 2) motivasi kerja guru PAI terhadap peningkatan mutu pembelajaran Pendidikan Agama dan Budi Pekerti , dan 3) kreativitas dan motivasi kerja guru terhadap peningkatan mutu pembelajaran Pendidikan Agama dan Budi. Penelitian ini menggunakan metode deskripsi korelasional dengan melibatkan 33 orang sampel yang dipilih secara dengan metode sensus. Teknik pengumpulan data dilakukan dengan angket/kuesioner. Teknikanalisis data diawali dengan uji prasyarat yaitu uji normalitas dan linieritas. Uji hipotesis menggunakanuji regresi sederhana danuji regresi ganda. Hasil penelitian menunjukkan ; 1) Kreativitas guru berpengaruh terhadap peningkatan mutu pembelajaran Pendidikan Agama Islam dan Budi Pekerti. 2) motivasi kerja guru berpengaruh terhadap peningkatan mutu pembelajaran Pendidikan Agama Islam dan Budi Pekerti. 3) kreativitas guru dan motivasi kerja guru secara bersama-sama atau simultan berpengaruh terhadap mutu pembelajaran. Hasil analisis juga menunjukkan bahwa rata-rata nilai dari ketiga variabel tersebut hanya dapat dimasukkan dalam kategori sedang, sehingga untuk meningkatkan kinerja guru dalam mengajar perlu diperhatikan faktor-faktor lain seperti: gaji, jaminan kerja, jaminan hari tua, penghargaan atas prestasi kerja, dan sebagainya. Kata kunci: kreativitas, motivasi, mutupembelajaran Abstract [The Relationship Between Teachers’ Creativity and Motivation Toward Learning Improvement]. This research aim at determine the correlation between the creativity of teachers on the improvement of learning quality of religious education and behavior, the work motivation of teachers on the improvement of learning quality of religious education and behavior, and the creativity and the work motivation of eachers on the improvement of learning quality of religious education and behavior. This research employed a method of correlation description with 33 Islamic education teacher were selected as sample by means of census sampling. Technique of collecting data employed questionnaire. Technique of data analysis began with prerequisite of normality and linearity. Hypothesis used test of simple regression and double regression.The study revealed that teacher creativity affects on the improvement of learning quality of religious education and behavior, as well as teacher work motivation affects on the improvement of learning quality of religious education and behavior. Futhermore, analysis show that teacher creativity as well as teacher work motivation affects simultaneously on the learning quality of Islamic Education. In conclusion, the average value of those three variables may be only included into medium category. Thus, to increase teacher performance, it needs other factors, such as; salary, job guarantee, pension, appreciation of work achievement, etc. Keywords: Creativity, Motivation, Learning Quality

The Relationship between the Development of Human Capital and the Agricultural Economy in Rural Areas

2020 ◽  
pp. 61-65
Author(s):  
B.A. Voronin ◽  
◽  
I.P. Chupina ◽  
Ya.V. Voronina ◽  
◽  
...  
Keyword(s):  
Human Capital ◽  
Rural Areas ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Real Life ◽  
Standard View ◽  
Household Factors ◽  
Economic Transformations ◽  
The Relationship

The article discusses a non-standard view of the formation of human capital for work in organizations of the agricultural sector of the economy, in the context of modern socio-economic transformations. In the classical sense, human capital for agriculture should be formed and developed in rural areas. But in real life, this is not always the case, because there are many factors that prevent the classical solution of this problem. First, the demographic factor affects, second, social and household factors, and third, in many rural areas there are no working agricultural organizations where qualified agricultural specialists can work. All these and other circumstances actualize the problem of the quality of human capital in rural areas in relation to the development of agricultural production.

Risk-Based Robust Bidding Strategies for EVs’ Aggregators in Day-ahead Markets with Uncertainty

2020 ◽  
Author(s):  
Ahmed Abdelmoaty ◽  
Wessam Mesbah ◽  
Mohammad A. M. Abdel-Aal ◽  
Ali T. Alawami
Keyword(s):  
Robust Optimization ◽  
Electricity Market ◽  
Real Life ◽  
Optimization Approach ◽  
Case Scenario ◽  
Worst Case ◽  
Bidding Strategies ◽  
Wind Generators ◽  
Proposed Model ◽  
Optimal Bidding

In the recent electricity market framework, the profit of the generation companies depends on the decision of the operator on the schedule of its units, the energy price, and the optimal bidding strategies. Due to the expanded integration of uncertain renewable generators which is highly intermittent such as wind plants, the coordination with other facilities to mitigate the risks of imbalances is mandatory. Accordingly, coordination of wind generators with the evolutionary Electric Vehicles (EVs) is expected to boost the performance of the grid. In this paper, we propose a robust optimization approach for the coordination between the wind-thermal generators and the EVs in a virtual<br>power plant (VPP) environment. The objective of maximizing the profit of the VPP Operator (VPPO) is studied. The optimal bidding strategy of the VPPO in the day-ahead market under uncertainties of wind power, energy<br>prices, imbalance prices, and demand is obtained for the worst case scenario. A case study is conducted to assess the e?effectiveness of the proposed model in terms of the VPPO's profit. A comparison between the proposed model and the scenario-based optimization was introduced. Our results confirmed that, although the conservative behavior of the worst-case robust optimization model, it helps the decision maker from the fluctuations of the uncertain parameters involved in the production and bidding processes. In addition, robust optimization is a more tractable problem and does not suffer from<br>the high computation burden associated with scenario-based stochastic programming. This makes it more practical for real-life scenarios.<br>

Task scheduling algorithm based on improved genetic algorithm in cloud computing environment

2020 ◽  
Vol 13 ◽  
Author(s):  
Ge Weiqing ◽  
Cui Yanru
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Task Completion ◽  
Improved Genetic Algorithm ◽  
Fitness Functions ◽  
Task Scheduling Algorithm ◽  
Simulation Results

Background: In order to make up for the shortcomings of the traditional algorithm, Min-Min and Max-Min algorithm are combined on the basis of the traditional genetic algorithm. Methods: In this paper, a new cloud computing task scheduling algorithm is proposed, which introduces Min-Min and Max-Min algorithm to generate initialization population, and selects task completion time and load balancing as double fitness functions, which improves the quality of initialization population, algorithm search ability and convergence speed. Results: The simulation results show that the algorithm is superior to the traditional genetic algorithm and is an effective cloud computing task scheduling algorithm. Conclusion: Finally, this paper proposes the possibility of the fusion of the two quadratively improved algorithms and completes the preliminary fusion of the algorithm, but the simulation results of the new algorithm are not ideal and need to be further studied.

SISTEM PENDUKUNG KEPUTUSAN ANALISIS KEPUASAN MAHASISWA TERHADAP PENGGUNAAN SARANA LABORATORIUM SISTEM INFORMASI

2018 ◽  
Vol 4 (2) ◽  
pp. 150
Author(s):  
Rahmadini Darwas
Keyword(s):  
Service Quality ◽  
Learning Process ◽  
Quality Of Services ◽  
Laboratory Facilities ◽  
Cold Room ◽  
And Function ◽  
And Behavior ◽  
Attitudes And Behavior ◽  
Role And Function

<p><strong><em>Abstract<br /></em></strong><em>Laboratory is one of the supporting facilities in im[roving the learning process. Problems found by students regarding the information system laboratory facilities at STMIK Indonesia Padang are</em><em> the computers that suddenly die when operated, the less cold room, display data is blurred, making the inconvenience in the learning process that causes the students less satisfied with the services provided. Students will feel satisfied if the service is expected to match the received. Therefore, a decision support system is needed to analyze the quality of services provided to the students so that it can support the role and function of the laboratory optimally and what attributes need to be improved the quality of service. The method used is Fuzzy Service Quality (Servqual) method. The results showed that the service quality received was not in accordance with the expected because there is a gap of -1.55 for tangibles dimension. Attributes that need to be improved the quality of services are laboratory space is cool and comfortable, the use of laboratories relevant to the field of science, the responsibility of laboratory assistant, the availability of professional teachers and attitudes and behavior of labor officers.<br /></em></p><p><strong><em>Abstrak<br /></em></strong>Laboratorium merupakan salah satu fasilitas pendukung dalam meningkatkan proses pembelajaran. Permasalahan yang ditemukan mahasiswa mengenai fasilitas laboratorium sistem informasi pada STMIK Indonesia Padang adalah komputer yang tiba-tiba mati saat dioperasikan, ruangan yang kurang dingin, data <em>display</em> yang buram sehingga membuat ketidaknyamanan dalam proses pembelajaran yang menyebabkan mahasiswa kurang puas terhadap layanan yang diberikan. Mahasiswa akan merasa puas apabila layanan yang diharapkan sesuai dengan yang diterima. Oleh sebab itu, diperlukan suatu sistem pendukung keputusan untuk menganalisis kualitas layanan yang diberikan kepada mahasiswa sehingga dapat mendukung peran dan fungsi laboratorium secara optimal serta atribut apa saja yang perlu ditingkatkan kualitas layanannya. Metode yang digunakan adalah metode <em>Fuzzy Service Quality </em>(<em>Servqua</em>l). Hasil penelitian menunjukkan bahwa kualitas layanan yang diterima belum sesuai dengan yang diharapkan karena terdapat <em>gap</em> sebesar -1.55 untuk dimensi <em>tangibles</em>. Atribut yang perlu ditingkatkan kualitas layanannya yaitu ruangan laboratorium yang sejuk dan nyaman, penggunaan laboratorium yang relevan dengan bidang ilmu, tanggungjawab asisten labor, tersedianya tenaga pengajar yang professional dan sikap serta perilaku petugas labor</p><p><strong><em>Kata kunci</em></strong><strong> : sistem pendukung keputusan, laboratorium, <em>fuzzy</em>, <em>servqual</em></strong></p><p><strong><em><br /></em></strong></p>

scholarly journals The Prisoners’ Dilemma in collaborative carriers’ request selection

2021 ◽  
Vol 29 (1) ◽  
pp. 73-87 ◽  
Author(s):  
Margaretha Gansterer ◽  
Richard F. Hartl
Keyword(s):  
Computational Study ◽  
Logistics Industry ◽  
Individual Outcomes ◽  
Selection Strategies ◽  
Prisoners Dilemma ◽  
Trading Mechanisms ◽  
And Behavior ◽  
The Impact ◽  
Idle Capacity

AbstractLogistics providers have to utilize available capacities efficiently in order to cope with increasing competition and desired quality of service. One possibility to reduce idle capacity is to build coalitions with other players on the market. While the willingness to enter such coalitions does exist in the logistics industry, the success of collaborations strongly depends on mutual trust and behavior of participants. Hence, a proper mechanism design, where carriers do not have incentives to deviate from jointly established rules, is needed. We propose to use a combinatorial auction system, for which several properties are already well researched but little is known about the auction’s first phase, where carriers have to decide on the set of requests offered to the auction. Profitable selection strategies, aiming at maximization of total collaboration gains, do exist. However, the impact on individual outcomes, if one or more players deviate from jointly agreed selection rules is yet to be researched. We analyze whether participants in an auction-based transport collaboration face a Prisoners’ Dilemma. While it is possible to construct such a setting, our computational study reveals that carriers do not profit from declining the cooperative strategy. This is an important and insightful finding, since it further strengthens the practical applicability of auction-based trading mechanisms in collaborative transportation.

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