Wyniki wyszukiwania dla: CLOUD COMPUTING VIRTUAL MACHINE MIGRATION SCHEDULING FOLLOW THE RENEWABLE GAME THEORY - MOST Wiedzy

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Wyniki wyszukiwania dla: CLOUD COMPUTING VIRTUAL MACHINE MIGRATION SCHEDULING FOLLOW THE RENEWABLE GAME THEORY

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Wyniki wyszukiwania dla: CLOUD COMPUTING VIRTUAL MACHINE MIGRATION SCHEDULING FOLLOW THE RENEWABLE GAME THEORY

  • Game theory-based virtual machine migration for energy sustainability in cloud data centers

    Publikacja
    • F. J. Maldonado-Carrascosa
    • S. García-Galán
    • M. Valverde-Ibáñez
    • T. Marciniak
    • M. Szczerska
    • N. Ruiz-Reyes

    - APPLIED ENERGY - Rok 2024

    As the demand for cloud computing services increases, optimizing resource allocation and energy consumption has become a key factor in achieving sustainability in cloud environments. This paper presents a novel approach to address these challenges through an optimized virtual machine (VM) migration strategy that employs a game-theoretic approach based on particle swarm optimization (PSO) (PSO-GTA). The proposed approach leverages...

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  • Multi-criteria Differential Evolution for Optimization of Virtual Machine Resources in Smart City Cloud

    Publikacja

    - Rok 2020

    In a smart city, artificial intelligence tools support citizens and urban services. From the user point of view, smart applications should bring computing to the edge of the cloud, closer to citizens with short latency. However, from the cloud designer point of view, the trade-off between cost, energy and time criteria requires the Pareto solutions. Therefore, the proposed multi-criteria differential evolution can optimize virtual...

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  • Category-Based Workload Modeling for Hardware Load Prediction in Heterogeneous IaaS Cloud

    The paper presents a method of hardware load prediction using workload models based on application categories and high-level characteristics. Application of the method to the problem of optimization of virtual machine scheduling in a heterogeneous Infrastructure as a Service (IaaS) computing cloud is described.

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  • Multi-objective Tabu-based Differential Evolution for Teleportation of Smart Virtual Machines in Private Computing Clouds

    Publikacja

    - Rok 2021

    We propose a multi-objective approach for using differential evolution algorithm with tabu search algorithm as an additional mutation for live migration (teleportation) of virtual machines. This issue is crucial in private computing clouds. Teleportation of virtual machines is supposed to be planned to determine Pareto-optimal solutions for several criteria such as workload of the bottleneck host, communication capacity of the...

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  • Optymalizacja zasobów chmury obliczeniowej z wykorzystaniem inteligentnych agentów w zdalnym nauczaniu

    Publikacja

    - Rok 2023

    Rozprawa dotyczy optymalizacji zasobów chmury obliczeniowej, w której zastosowano inteligentne agenty w zdalnym nauczaniu. Zagadnienie jest istotne w edukacji, gdzie wykorzystuje się nowoczesne technologie, takie jak Internet Rzeczy, rozszerzoną i wirtualną rzeczywistość oraz deep learning w środowisku chmury obliczeniowej. Zagadnienie jest istotne również w sytuacji, gdy pandemia wymusza stosowanie zdalnego nauczania na dużą skalę...

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  • DECISION - MAKING IN VIRTUAL SOFTWARE TEAMS USING CLOUD PLATFORMS

    Publikacja

    Software development projects are usually realized by traditional or virtual IT teams using computing clouds. Team collaboration requires decision - making regarding essential aspects of a project progress. The article concerns methods of decision – making process in the case of traditional and virtual teams’ work. The research results conducted in a group of IT specialists are presented, and to analyze their preferences in decision-making...

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  • Analysis and improvement attempt of prof. Alan Fowler’s negotiation game

    The main goal of the following article is to design an improved version of the negotiation game created by prof. Alan Fowler (Fowler, 1997). I have tried to achieve this by constructing four separate versions of the game which represent different approaches while preserving rules, chosen basic technical assumptions and the simplicity of the base game. Each version of the game is supposed to i.a. make it less obvious, create new...

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  • The IPV6 Deployment - Best practices

    Publikacja

    - Rok 2011

    The new Internet Protocol IPv6 has been regarded for quite a long time as the only option to ensure uninterrupted operation for the Internet service providers andend-users in the current Internet. The article presents important faets about the IPv6, including current statistics of the IPv4 usage, the IPv6 statistics for Poland comparing to the whole Internet. Moreover, this paper shows important aspeets of migration from IPv4 towards...

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  • Total Completion Time Minimization for Scheduling with Incompatibility Cliques

    Publikacja

    - Rok 2021

    This paper considers parallel machine scheduling with incompatibilities between jobs. The jobs form a graph equivalent to a collection of disjoint cliques. No two jobs in a clique are allowed to be assigned to the same machine. Scheduling with incompatibilities between jobs represents a well-established line of research in scheduling theory and the case of disjoint cliques has received increasing attention in recent...

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  • Better polynomial algorithms for scheduling unit-length jobs with bipartite incompatibility graphs on uniform machines

    The goal of this paper is to explore and to provide tools for the investigation of the problems of unit-length scheduling of incompatible jobs on uniform machines. We present two new algorithms that are a significant improvement over the known algorithms. The first one is Algorithm 2 which is 2-approximate for the problem Qm|p j = 1, G = bisubquartic|Cmax . The second one is Algorithm 3 which is 4-approximate for the problem Qm|p...

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  • Uczenie maszynowe do samoorganizacji systemów rozproszonych w zastosowaniach gospodarczych

    Publikacja

    - Współczesna Gospodarka - Rok 2017

    W pracy omówiono uczenie maszynowe do samoorganizacji systemów rozproszonych w zastosowaniach gospodarczych ze szczególnym uwzględnieniem sieci neuronowych do predykcji finansowych oraz szacowania ratingu przedsiębiorstw. Oprócz sieci neuronowych, istotną rolę w przygotowaniu i testowaniu informatycznych systemów finansowych może pełnić programowanie genetyczne. Z tego powodu omówiono uczenie maszynowe w aplikacjach konstruowanych...

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  • Linear game non-contextuality and Bell inequalities—a graph-theoretic approach

    Publikacja

    - NEW JOURNAL OF PHYSICS - Rok 2016

    We study the classical and quantum values of a class of one-and two-party unique games, that generalizes the well-known XOR games to the case of non-binary outcomes. In the bipartite case the generalized XOR(XOR-d) games we study are a subclass of the well-known linear games. We introduce a 'constraint graph' associated to such a game, with the constraints defining the game represented by an edge-coloring of the graph. We use the...

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  • Normal-form preemption sequences for an open problem in scheduling theory

    Publikacja

    - JOURNAL OF SCHEDULING - Rok 2016

    Structural properties of optimal preemptive schedules have been studied in a number of recent papers with a primary focus on two structural parameters: the minimum number of preemptions necessary, and a tight lower bound on shifts, i.e., the sizes of intervals bounded by the times created by preemptions, job starts, or completions. These two parameters have been investigated for a large class of preemptive scheduling problems,...

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  • A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors

    Publikacja

    In recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones,...

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  • Approximation algorithms for job scheduling with block-type conflict graphs

    Publikacja

    - COMPUTERS & OPERATIONS RESEARCH - Rok 2024

    The problem of scheduling jobs on parallel machines (identical, uniform, or unrelated), under incompatibility relation modeled as a block graph, under the makespan optimality criterion, is considered in this paper. No two jobs that are in the relation (equivalently in the same block) may be scheduled on the same machine in this model. The presented model stems from a well-established line of research combining scheduling theory...

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  • Project-Based Collaborative Research and Training Roadmap for Manufacturing Based on Industry 4.0

    Publikacja

    - Rok 2023

    The importance of the economy being up to date with the latest developments, such as Industry 4.0, is more evident than ever before. Successful implementation of Industry 4.0 principles requires close cooperation of industry and state authorities with universities. A paradigm of such cooperation is described in this paper stemming from university partners with partly overlapping and partly complementary areas of expertise in manufacturing....

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  • Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation

    Publikacja

    - IEEE Access - Rok 2022

    Context. Since its proclamation in 2012, microservices-based architecture has gained widespread popularity due to its advantages, such as improved availability, fault tolerance, and horizontal scalability, as well as greater software development agility. Motivation. Yet, refactoring a monolith to microservices by smaller businesses and expecting that the migration will bring benefits similar to those reported by top global companies,...

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  • Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches

    Publikacja
    • V. G. Nguyen
    • P. Sharma
    • Ü. Ağbulut
    • H. S. Le
    • D. N. Cao
    • M. Dzida
    • S. M. Osman
    • H. C. Le
    • V. D. Tran

    - International Journal of Green Energy - Rok 2024

    Examining the game-changing possibilities of explainable machine learning techniques, this study explores the fast-growing area of biochar production prediction. The paper demonstrates how recent advances in sensitivity analysis methodology, optimization of training hyperparameters, and state-of-the-art ensemble techniques have greatly simplified and enhanced the forecasting of biochar output and composition from various biomass...

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  • Energy-Aware Scheduling for High-Performance Computing Systems: A Survey

    Publikacja

    High-performance computing (HPC), according to its name, is traditionally oriented toward performance, especially the execution time and scalability of the computations. However, due to the high cost and environmental issues, energy consumption has already become a very important factor that needs to be considered. The paper presents a survey of energy-aware scheduling methods used in a modern HPC environment, starting with the...

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  • Cooperative control in production and logistics

    Publikacja
    • L. Monostori
    • P. Valckenaers
    • A. Dolgui
    • H. Panetto
    • M. Brdyś
    • B. Csáji

    - ANNUAL REVIEWS IN CONTROL - Rok 2015

    Classical applications of control engineering and information and communication technology (ICT) in production and logistics are often done in a rigid, centralized and hierarchical way. These inflexible approaches are typically not able to cope with the complexities of the manufacturing environment, such as the instabilities, uncertainties and abrupt changes caused by internal and external disturbances, or a large number and variety...

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  • Adaptacyjny system oświetlania dróg oraz inteligentnych miast

    Publikacja

    - Rok 2024

    Przedmiotem rozprawy jest zbadanie praktycznej możliwości wykrywania w czasie rzeczywistym anomalii w systemie oświetlenia drogowego w oparciu o analizę danych ze inteligentnych liczników energii. Zastosowanie inteligentnych liczników energii elektrycznej (Smart Meter) w systemach oświetlenia drogowego stwarza nowe możliwości w zakresie automatycznej diagnostyki takich niepożądanych zjawisk jak awarie lamp, odstępstwa od harmonogramu...

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