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Wyszukujesz frazę "prisoner's dilemma" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Game Theoretical Model Applied to Scheduling in Grid Computing
Autorzy:
Świtalski, P.
Seredyński, F.
Powiązania:
https://bibliotekanauki.pl/articles/93040.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
scheduling
game theory
prisoner's dilemma
genetic algorithm
grid
task
job
Opis:
We consider a grid computational model which consist of a number of computation nodes and a number of users. Each user generates a computation load (jobs) requesting computational and communication resources. A deadline for each job is also defined. We propose a scheduling algorithm which is based on Iterated Prisoner's Dilemma (IPD) under the Random Pairing game, where nodes (players) of the grid system decide about their behavior: cooperate or defect. In this game players play a game with randomly chosen players and receive payoffs. Each player has strategies which define its decision. Genetic algorithm (GA) is used to evolve strategies to optimize a criterion related to scheduling problem. In this paper we show that GA is able to discover a strategy in the IPD model providing a cooperation between node-players, which permits to solve scheduling problem in grid.
Źródło:
Studia Informatica : systems and information technology; 2007, 2(9); 19-27
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decentralized job scheduling in the cloud based on a spatially generalized Prisoner’s Dilemma game
Autorzy:
Gąsior, J.
Seredyński, F.
Powiązania:
https://bibliotekanauki.pl/articles/329736.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
job scheduling
multiobjective optimization
genetic algorithm
prisoner's dilemma
cellular automata
harmonogramowanie zadań
optymalizacja wielokryterialna
algorytm genetyczny
dylemat więźnia
automat komórkowy
Opis:
We present in this paper a novel distributed solution to a security-aware job scheduling problem in cloud computing infrastructures. We assume that the assignment of the available resources is governed exclusively by the specialized brokers assigned to individual users submitting their jobs to the system. The goal of this scheme is allocating a limited quantity of resources to a specific number of jobs minimizing their execution failure probability and total completion time. Our approach is based on the Pareto dominance relationship and implemented at an individual user level. To select the best scheduling strategies from the resulting Pareto frontiers and construct a global scheduling solution, we developed a decision-making mechanism based on the game-theoretic model of Spatial Prisoner’s Dilemma, realized by selfish agents operating in the two-dimensional cellular automata space. Their behavior is conditioned by the objectives of the various entities involved in the scheduling process and driven towards a Nash equilibrium solution by the employed social welfare criteria. The performance of the scheduler applied is verified by a number of numerical experiments. The related results show the effectiveness and scalability of the scheme in the presence of a large number of jobs and resources involved in the scheduling process.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 4; 737-751
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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