Cloud computing has become one of the leading technologies in the world today.The benefits of cloud computing affect end users directly.There are several cloud computing frameworks,and each has ways of monitoring and ...Cloud computing has become one of the leading technologies in the world today.The benefits of cloud computing affect end users directly.There are several cloud computing frameworks,and each has ways of monitoring and providing resources.Cloud computing eliminates customer requirements such as expensive system configuration and massive infrastructure while improving dependability and scalability.From the user’s perspective,cloud computing makes it easy to upload multiagents and operate on different web services.In this paper,the authors used a restful web service and an agent system to discuss,deployments,and analysis of load performance parameters like memory use,cen-tral processing unit(CPU)utilization,network latency,etc.,both on localhost and an Amazon Web Service Elastic Cloud Computing(AWS-EC2)server.The Java Agent Development Environment(JADE)tool has been used to propose an archi-tecture and conduct a comparative study on both local and remote servers.JADE is an open-source tool for maintaining applications on AWS infrastructure.The focus of the study should be to reduce the complexity and time of load perfor-mance parameters by using an agent system on a cloud server instead of establish-ing a massive infrastructure on a local system,even for a small application.展开更多
In recent years,Cloud Computing has become popular to facilitate the use of Modeling and Simulation(M&S)resources.Nevertheless,there are still various issues to solve,including the structure constrain of chosen we...In recent years,Cloud Computing has become popular to facilitate the use of Modeling and Simulation(M&S)resources.Nevertheless,there are still various issues to solve,including the structure constrain of chosen web service frameworks,the sharing of varied resources in the Cloud,and the difficulties in reproducing experiments.We show a new architecture based on Cloud Computing and new modeling methods to deal with these issues.This layered architecture,called Cloud Architecture for Modeling and Simulation as a Service(CAMSaaS),simplifies the deployment of M&S resources as services in the Cloud.CAMSaaS supports hierarchical resource services,experimental frameworks,scalable infrastructure and makes everything as a service.We deploy varied M&S resources as services in the Cloud,and build a Modeling and Simulation as a Service(MSaaS)middleware called CloudRISE to manage a variety of M&S resources.We also use the experimental framework concept to simplify the management of experiment environments.We present a case study for crowd evacuation application using the architecture.展开更多
文摘Cloud computing has become one of the leading technologies in the world today.The benefits of cloud computing affect end users directly.There are several cloud computing frameworks,and each has ways of monitoring and providing resources.Cloud computing eliminates customer requirements such as expensive system configuration and massive infrastructure while improving dependability and scalability.From the user’s perspective,cloud computing makes it easy to upload multiagents and operate on different web services.In this paper,the authors used a restful web service and an agent system to discuss,deployments,and analysis of load performance parameters like memory use,cen-tral processing unit(CPU)utilization,network latency,etc.,both on localhost and an Amazon Web Service Elastic Cloud Computing(AWS-EC2)server.The Java Agent Development Environment(JADE)tool has been used to propose an archi-tecture and conduct a comparative study on both local and remote servers.JADE is an open-source tool for maintaining applications on AWS infrastructure.The focus of the study should be to reduce the complexity and time of load perfor-mance parameters by using an agent system on a cloud server instead of establish-ing a massive infrastructure on a local system,even for a small application.
基金This research has been partially funded by NSERC.
文摘In recent years,Cloud Computing has become popular to facilitate the use of Modeling and Simulation(M&S)resources.Nevertheless,there are still various issues to solve,including the structure constrain of chosen web service frameworks,the sharing of varied resources in the Cloud,and the difficulties in reproducing experiments.We show a new architecture based on Cloud Computing and new modeling methods to deal with these issues.This layered architecture,called Cloud Architecture for Modeling and Simulation as a Service(CAMSaaS),simplifies the deployment of M&S resources as services in the Cloud.CAMSaaS supports hierarchical resource services,experimental frameworks,scalable infrastructure and makes everything as a service.We deploy varied M&S resources as services in the Cloud,and build a Modeling and Simulation as a Service(MSaaS)middleware called CloudRISE to manage a variety of M&S resources.We also use the experimental framework concept to simplify the management of experiment environments.We present a case study for crowd evacuation application using the architecture.
