scholarly journals Conceptual Model of Problem-oriented Heterogeneous Distributed Computing Environment with Multi-agent Management

2017 ◽  
Vol 103 ◽  
pp. 162-167 ◽  
Author(s):  
I. Bychkov ◽  
G. Oparin ◽  
A. Tchernykh ◽  
A. Feoktistov ◽  
V. Bogdanova ◽  
...  
Keyword(s):  
Distributed Computing ◽  
Conceptual Model ◽  
Computing Environment ◽  
Multi Agent ◽  
Heterogeneous Distributed Computing

scholarly journals Tender of computational works in heterogeneous distributed environment

2020 ◽  
Author(s):  
A.G. Feoktistov
Keyword(s):  
Resource Allocation ◽  
Distributed Computing ◽  
Supply And Demand ◽  
Distributed Environment ◽  
Computing Environment ◽  
Vickrey Auction ◽  
New Models ◽  
Multi Agent ◽  
Heterogeneous Distributed Computing

Nowadays, applying various market-based methods for regulating supply and demand of resources for distributed computing is becoming increasingly relevant. In particular, different forms of standard auctions are actively used. However, their basic capabilities often do not enable to fully solve the complicated problems of resource allocation in a heterogeneous distributed computing environment. In this regard, a tender of computational works based on a combinatorial Vickrey auction has been designed. It is applied within multi-agent computing management. For the tender, new models are proposed to rank the criteria of resources owners and users. The tender use advantages are shown in comparison with traditional meta-schedulers.

scholarly journals Multi-Agent Modeling in Schedule Problems

2019 ◽  
Vol 09 (4) ◽  
pp. 100-111
Author(s):  
T.V. Sivakova ◽  
V.A. Sudakov
Keyword(s):  
Distributed Computing ◽  
Optimization Problems ◽  
Computational Experiments ◽  
Multi Agent Systems ◽  
Computing Environment ◽  
Agent Modeling ◽  
Agent Systems ◽  
Multi Agent

The article explores the use of multi-agent technologies for solving optimization problems. It is shown how multi-agent systems allow working with restrictions in a distributed computing environment. The task of scheduling is formalized. Software was developed and computational experiments were carried out, which showed the effectiveness of the proposed approach.

scholarly journals A hybrid Method to augment the efficiency of Distributed Computing System by DAG -Using Finest Task Allocation with Dual Mode Processors

2019 ◽  
Vol 8 (11) ◽  
pp. 4275-4284
Keyword(s):  
Distributed Computing ◽  
Task Allocation ◽  
Scheduling Algorithm ◽  
Computing System ◽  
Service Rate ◽  
Additional Parameter ◽  
Computing Environment ◽  
Dual Mode ◽  
New Approach ◽  
Heterogeneous Distributed Computing

Distributed computing system creates or provides a platform having multiple computing nodes linked in a specified manner. On the basis of literature review of last few decades it has been noticed that most of distributed computing researchers have shown their effort to maintain load balancing between processors ,effective task scheduling and optimizing different parameters affecting execution cost and throughput .With these above scenario an additional parameter “Self reconfiguration of CPU” is also a countable parameter to augment the efficiency of distributed computing system .Through this research paper we want to present new approach of adaptive scheduling algorithm which is the mix output of effective task allocation to processor involved in computing and self-reconfiguration of those processors as per need of computing. By this proposed method we will optimize the execution cost, service rate and maximize the throughput as an outcome of organized processors consist in heterogeneous distributed computing system, resulting provide the considerable enhancement in the performance of Distributed computing environment.

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