Modeling of the Grid System Node Behavior Based on Petri Nets

Information services play a crucial role in grid computing environments in that the state information of a grid system can be used to facilitate the discovery of resources and services available to meet user requirements and help tune the performance of the grid. This paper models PIndex, which is a grouped peer-to-peer network with Colored Petri Nets (CPNs) for scalable grid information services. Based on the CPN model, a simulator is implemented for PIndex simulation and performance evaluation. The correctness of the simulator is further verified by comparing the results computed from the CPN model with the results generated by the PIndex simulator.

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Modeling Scalable Grid Information Services with Colored Petri Nets

Grid and Cloud Computing ◽

10.4018/978-1-4666-0879-5.ch309 ◽

2012 ◽

pp. 701-716

Author(s):

Vijay Sahota ◽

Maozhen Li ◽

Marios Hadjinicolaou

Keyword(s):

Petri Nets ◽

Information Services ◽

Colored Petri Nets ◽

Grid System ◽

State Information ◽

Peer Network ◽

Computing Environments ◽

And Performance ◽

Peer To Peer Network ◽

Grid Information Services

Information services play a crucial role in grid computing environments in that the state information of a grid system can be used to facilitate the discovery of resources and services available to meet user requirements and help tune the performance of the grid. This paper models PIndex, which is a grouped peer-to-peer network with Colored Petri Nets (CPNs) for scalable grid information services. Based on the CPN model, a simulator is implemented for PIndex simulation and performance evaluation. The correctness of the simulator is further verified by comparing the results computed from the CPN model with the results generated by the PIndex simulator.

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Analytic of B2C E - Commerce Credit Mechanism Mixed Strategy Risk Behavior Based on Logical Game Petri Nets

IEEE Access ◽

10.1109/access.2018.2838765 ◽

2018 ◽

Vol 6 ◽

pp. 29109-29131 ◽

Cited By ~ 2

Author(s):

Wei Liu ◽

Xin Feng ◽

Fuxin Zhang ◽

Yuyue Du ◽

Chun Yan

Keyword(s):

Petri Nets ◽

Risk Behavior ◽

Mixed Strategy ◽

Credit Mechanism ◽

Logical Game ◽

Behavior Based

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Using the fuzzy-ellipsoid method for robust estimation of the state of a grid system node

Cybernetics and Systems Analysis ◽

10.1007/s10559-008-9057-1 ◽

2008 ◽

Vol 44 (6) ◽

pp. 847-854 ◽

Cited By ~ 18

Author(s):

A. Yu. Shelestov ◽

N. N. Kussul’

Keyword(s):

Robust Estimation ◽

The State ◽

Grid System ◽

Ellipsoid Method ◽

System Node

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Discrete Event Behavior-Based Distributed Architecture Design for Autonomous Intelligent Control of Mobile Robots with Embedded Petri Nets

Advances in Chaos Theory and Intelligent Control - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-30340-6_34 ◽

2016 ◽

pp. 805-827 ◽

Cited By ~ 2

Author(s):

Gen’ichi Yasuda

Keyword(s):

Mobile Robots ◽

Petri Nets ◽

Intelligent Control ◽

Discrete Event ◽

Architecture Design ◽

Distributed Architecture ◽

Behavior Based

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Generic colored petri nets modeling approach for performance analysis of smart grid system

2016 7th International Renewable Energy Congress (IREC) ◽

10.1109/irec.2016.7478905 ◽

2016 ◽

Cited By ~ 2

Author(s):

Mhadhbi Zeineb ◽

Zairi Sajeh ◽

Zouari Belhassen

Keyword(s):

Performance Analysis ◽

Smart Grid ◽

Petri Nets ◽

Colored Petri Nets ◽

Grid System ◽

Modeling Approach ◽

Smart Grid System

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Behavior-based autonomous cooperative control of intelligent mobile robot systems with embedded Petri nets

2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS) ◽

10.1109/scis-isis.2014.7044830 ◽

2014 ◽

Cited By ~ 3

Author(s):

Gen'ichi Yasuda

Keyword(s):

Mobile Robot ◽

Petri Nets ◽

Cooperative Control ◽

Robot Systems ◽

Behavior Based

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MODIFIED HIERARCIAL METHOD FOR TASK SCHEDULING IN GRID SYSTEMS

Visnyk Universytetu “Ukraina” ◽

10.36994/2707-4110-2019-2-23-23 ◽

2019 ◽

Author(s):

Michael Dibrova

Keyword(s):

Task Scheduling ◽

Task Graph ◽

Graph Structure ◽

Grid System ◽

Grid Systems ◽

Advantages And Disadvantages ◽

Modified Method ◽

Scheduling Method ◽

System Node ◽

The Impact

This study aims to increase the productivity of grid systems by an im proved scheduling method. A brief overview and analysis of the main scheduling methods in grid systems are presented. A method for increasing efficiency by opti mizing the task graph structure considering the grid system node structure is proposed. Task granularity (the ratio between the amount of computation and trans ferred data) is considered to increase the efficiency of planning. An analysis of the impact on task scheduling efficiency in a grid system is presented. A correspondence of the task graph structure considering the node structure (in which the task is immersed) to the effectiveness of scheduling in a grid system is shown. A modified method for schedu ling tasks while considering their granularity is proposed. The relevant algorithm for task scheduling in a grid system is developed. Simulation of the proposed algorithm using the modeling system GridSim is conducted. A comparative analysis between the modified algorithm and the algorithm of the hierarchical scheduler Maui is shown. The general advantages and disadvantages of the proposed algorithm are discussed.

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