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Scale-up and performance studies of three agent platforms

K. Burbeck, D. Garpe, S. Nadjm-Tehrani
IEEE International Conference on Performance, Computing, and Communications, 2004  
In this paper we introduce and evaluate the three recent agent platforms JADE, Tryllian and SAP. Focus of the evaluation is the important properties of performance, security and scalability.  ...  Evaluations of relevant properties of agent platforms are therefore needed, but unfortunately few up-to-date evaluations exist.  ...  When the activity and number of agents deployed on the platform increases so does the pressure and the need to distribute the shared resources while keeping up the performance.  ... 
doi:10.1109/pccc.2004.1301209 fatcat:ejqqtyezgjcvndh3qvgyjqi7zi

Scale-up and performance studies of three agent platforms

K. Burbeck, D. Garpe, S. Nadjm-Tehrani
IEEE International Conference on Performance, Computing, and Communications, 2004  
In this paper we introduce and evaluate the three recent agent platforms JADE, Tryllian and SAP. Focus of the evaluation is the important properties of performance, security and scalability.  ...  Evaluations of relevant properties of agent platforms are therefore needed, but unfortunately few up-to-date evaluations exist.  ...  When the activity and number of agents deployed on the platform increases so does the pressure and the need to distribute the shared resources while keeping up the performance.  ... 
doi:10.1109/pccc.2004.1395203 dblp:conf/ipccc/BurbeckGN04 fatcat:3ymgy7uywnad3egwvdmyw2vbxi

A Scalable Master-Worker Architecture for PaaS Clouds

Vibhor Aggarwal, Shubhashis Sengupta, Vibhu Saujanya Sharma, Aravindan Santharam
2012 2012 SC Companion: High Performance Computing, Networking Storage and Analysis  
This state-less feature of the agents makes them amenable for a PaaS platform and adds fault-tolerance to the system.  ...  The agents are capable of dynamically shifting between a master and a worker role based on the information available with a durable message broker.  ...  ACKNOWLEDGEMENTS The authors would like to thank Marko Dabrovic for providing the Sponza model used for rendering and Heroku engineers who provided valuable assistance for migrating the application.  ... 
doi:10.1109/sc.companion.2012.153 dblp:conf/sc/AggarwalSSS12 fatcat:xmc2ae47mbfxvpnttujffp6yeq

BioDynaMo: a modular platform for high-performance agent-based simulation

Lukas Breitwieser, Ahmad Hesam, Jean de Montigny, Vasileios Vavourakis, Alexandros Iosif, Jack Jennings, Marcus Kaiser, Marco Manca, Alberto Di Meglio, Zaid Al-Ars, Fons Rademakers, Onur Mutlu (+2 others)
2021 Bioinformatics  
Our performance results show that BioDynaMo performs up to three orders of magnitude faster than the state-of-the-art baselines.  ...  Results We present a novel simulation platform called BioDynaMo that alleviates both of these problems. BioDynaMo features a modular and high-performance simulation engine.  ...  We envision BioDynaMo to become a valuable tool in computational biology, fostering faster and easier simulation of complex and large-scale systems, interdisciplinary collaboration and scientific reproducibility  ... 
doi:10.1093/bioinformatics/btab649 pmid:34529036 pmcid:PMC8723141 fatcat:57bj4kplm5bubgqn3ekscvbopi

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence [article]

Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, Yong Yu
2017 arXiv   pre-print
We introduce MAgent, a platform to support research and development of many-agent reinforcement learning.  ...  Within the interactions among a population of agents, it enables not only the study of learning algorithms for agents' optimal polices, but more importantly, the observation and understanding of individual  ...  Conclusion MAgent is a research platform designed to support manyagent RL. With MAgent, researchers can study a population of AI agents in both individual agent and society levels.  ... 
arXiv:1712.00600v1 fatcat:tn3quuj37fbwxpbriqp6mm3kja

CoachAI: A Conversational Agent Assisted Health Coaching Platform [article]

Ahmed Fadhil, Gianluca Schiavo, Yunlong Wang
2019 arXiv   pre-print
We will discuss our approach and analyze the results of a one month validation study on physical activity, healthy diet and stress management.  ...  This research provides three main contributions to the preventive healthcare and healthy lifestyle promotion: (1) it presents the conversational agent to aid the caregiver; (2) it aims to decrease caregiver's  ...  overall CoachAI platform, we performed a self-evaluation at the end of their feedback.  ... 
arXiv:1904.11961v1 fatcat:4fwswuk2ybbdfk4nsqubt6zdti

A Formula-Driven Scalable Benchmark Model for ABM, Applied to FLAME GPU [chapter]

Eidah Alzahrani, Paul Richmond, Anthony J. H. Simons
2018 Lecture Notes in Computer Science  
Observing system performance and how applications behave during increases in population size is the main factor for benchmarking in most of these studies.  ...  The growing number of agent-based applications in the simulation and AI fields led to an increase in the number of studies that focused on evaluating modelling capabilities of these applications.  ...  The limitations of scalability and performance in these systems prevent modellers from simulating complex systems at very large scales.  ... 
doi:10.1007/978-3-319-75178-8_56 fatcat:bh3vitmwavf5tgrndtskvqojri

A Distributed Multi Agents Based Platform for High Performance Computing Infrastructures [article]

Chairi Kiourt, Dimitris Kalles
2016 arXiv   pre-print
This work introduces a novel, modular, layered web based platform for managing machine learning experiments on grid-based High Performance Computing infrastructures.  ...  of a web-based user interface that allows the monitoring and managing of diverse online distributed computing applications.  ...  A demo of the platform alongside instructions to integrate it with third-party games can be found at http://www.splendor.gr/platform.  ... 
arXiv:1610.03450v1 fatcat:bzp572vjkjearl7olgoci65cju

A comparison study of collaborative strategies for distributed defense against Internet worms based on small-world modeling

Hao Chen, Yu Chen
2010 Proceedings of the 6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing  
On top of it, an experimental comparison study of collaborative defense schemes has been conducted. Their performance and effectiveness facing signature-embedded worm attacks have been evaluated.  ...  Taking advantage of small-world network model, the platform consists of two network layers and one application layer.  ...  In this section, taking advantage of small world network theory, an abstract three-layer platform is built for this modeling study.  ... 
doi:10.4108/icst.collaboratecom.2010.31 dblp:conf/colcom/ChenC10 fatcat:ve2lbkek2zfr3e3nykaylvs4kq

BioDynaMo: a general platform for scalable agent-based simulation [article]

Lukas Breitwieser, Ahmad Hesam, Jean de Montigny, Vasileios Vavourakis, Alexandros Iosif, Jack Jennings, Marcus Kaiser, Marco Manca, Alberto Di Meglio, Zaid Al-Ars, Fons Rademakers, Onur Mutlu (+1 others)
2021 arXiv   pre-print
Our performance results show that BioDynaMo performs up to three orders of magnitude faster than the state-of-the-art baseline.  ...  Results: We present a novel simulation platform called BioDynaMo that alleviates both of these problems. BioDynaMo features a general-purpose and high-performance simulation engine.  ...  Our performance analysis showed improvements of up to three orders of magnitude over state-of-the-art baseline simulation software, allowing us to scale up simulations to an unprecedented number of agents  ... 
arXiv:2006.06775v2 fatcat:fb7td6fo5jgwtdjiv2xzyzws4u

Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment [article]

Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan
2020 arXiv   pre-print
While there has been increasing interest in data-driven approaches for the study of task planning for artificial agents, a significant remaining bottleneck is the dearth of large-scale comprehensive task-based  ...  The problem of task planning for artificial agents remains largely unsolved.  ...  ACKNOWLEDGMENTS This research was supported by NRF grant NRF2015-NRF-ISF001-2541 and by the Agency for Science, Technology and Research (A*STAR) under its AME Programmatic Funding Scheme (Project A18A2b0046  ... 
arXiv:2010.01357v1 fatcat:uzxakd6t3zfbvmuhjns2gogyaq

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu
2018 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We introduce MAgent, a platform to support research and development of many-agent reinforcement learning.  ...  Within the interactions among a population of agents, it enables not only the study of learning algorithms for agents' optimal polices, but more importantly, the observation and understanding of individual  ...  Conclusion MAgent is a research platform designed to support manyagent RL. With MAgent, researchers can study a population of AI agents in both individual agent and society levels.  ... 
doi:10.1609/aaai.v32i1.11371 fatcat:l4skbde5hva25el7sve3do5wvm

Design of a Secure and Decentralized Location Service for Agent Platforms [chapter]

Benno Overeinder, Michel Oey, Reinier Timmer, Reinout van Schouwen, Erik Rozendaal, Frances Brazier
2010 Lecture Notes in Computer Science  
Agent platforms designed for Internet-scale, open networks need scalable and secure location services for agents and services.  ...  It is scalable in the total number of published identifier-contact address pairs, the number of updates/changes, and the number of agent platforms publishing and requesting contact addresses.  ...  The authors thank Miek Gieben and Ted Lindgreen from NLnet Labs for their valuable contributions.  ... 
doi:10.1007/978-3-642-11368-0_8 fatcat:mjuiyi54zvebjign2ciugv3gmu

Relaxing Platform Dependencies in Agent-based Control Systems

Marco Perez Hernandez, Duncan McFarlane, Ajith Kumar Parlikad, Manuel Herrera, Amit Kumar Jain
2021 IEEE Access  
This case study enabled us to demonstrate feasibility of the approach and to show the flexibility, of the resulting control system, to adopt several topologies as well as to operate at different scales  ...  We built a prototype using this approach and evaluated it in the context of a case study for the supervisory control of digital network infrastructures.  ...  Likewise, we thank Boyue Zhang from the Computer Laboratory of the University of Cambridge who contributed to the development of the prototype and the tools used in the case study.  ... 
doi:10.1109/access.2021.3059273 fatcat:yu5gfxq6fvfk7py3sw4mcmeuba

Performance of network and service monitoring frameworks

Abdelkader Lahmadi, Laurent Andrey, Olivier Festor
2009 2009 IFIP/IEEE International Symposium on Integrated Network Management  
We mainly studied the effect of both load and the number of agents on the scalability, the impact of management activities on the user perceived performance of a managed server and the delays of JMX operations  ...  To validate our proposals, we have designed and developed a benchmarking platform dedicated to the measurement of the performance of a JMX manager-agent based management system.  ...  Mainly, we have identified three goals: comparing management approaches performance, studying the performance of a new feature within an existing management approach, purely studing the performance of  ... 
doi:10.1109/inm.2009.5188888 dblp:conf/im/LahmadiAF09 fatcat:45xoz7essrfzze5yiblsv4idnu
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