A survey on parallel and distributed multi-agent systems for high performance computing simulations

2016 ◽  
Vol 22 ◽  
pp. 27-46 ◽  
Author(s):  
Alban Rousset ◽  
Bénédicte Herrmann ◽  
Christophe Lang ◽  
Laurent Philippe
Author(s):  
I. V. Bychkov ◽  
G. A. Oparin ◽  
A. G. Feoktistov ◽  
V. G. Bogdanova ◽  
I. A. Sidorov ◽  
...  

2021 ◽  
Vol 11 (18) ◽  
pp. 8291
Author(s):  
Piotr Cybulski ◽  
Zbigniew Zieliński

Widespread access to low-cost, high computing power allows for increased computerization of everyday life. However, high-performance computers alone cannot meet the demands of systems such as the Internet of Things or multi-agent robotic systems. For this reason, modern design methods are needed to develop new and extend existing projects. Because of high interest in this subject, many methodologies for designing the aforementioned systems have been developed. None of them, however, can be considered the default one to which others are compared to. Any useful methodology must provide some tools, versatility, and capability to verify its results. This paper presents an algorithm for verifying the correctness of multi-agent systems modeled as tracking bigraphical reactive systems and checking whether a behavior policy for the agents meets non-functional requirements. Memory complexity of methods used to construct behavior policies is also discussed, and a few ways to reduce it are proposed. Detailed examples of algorithm usage have been presented involving non-functional requirements regarding time and safety of behavior policy execution.


2013 ◽  
Vol 3 (1) ◽  
pp. 58-64 ◽  
Author(s):  
Ali Reza Honarvar

the integration of a multi-agent environment and a cloud platform is to the best of our knowledge a new concept in terms of elastic application to run on cloud platforms. Currently in literature can be found some works focused on merging cloud computing and multi-agent systems (MAS). These works focused on the using of clouds in MAS because MASs often require high-performance computing systems and large data storage devices, or using agents on cloud i.e. Providing agent-based solutions founded on the design and development of software agents for improving Cloud resources and service management and discovery. Scalability is an important issue in the successful deployment of cloud computing software since performance requirements can change over time. Therefore, it is often expected that the software can be scaled up or down to ensure the desired performance at minimal costs. In this paper a framework was proposed which can be used as a foundation for developing an application that uses resources elastically on the cloud. This framework which provides elastic resource provision to applications is based on the MAS.


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