Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: As Grid Computing increasingly enters the commercial domain, performance and quality of service (QoS) issues are becoming a major concern. The inherent complexity, heterogeneity and dynamics of Grid computing environments pose some challenges in managing their capacity to ensure that QoS requirements are continuously met. , a comprehensive framework for autonomic QoS control in enterprise Grid environments using online simulation is proposed.  presents a novel methodology for designing autonomic QoS-aware resource managers that have the capability to predict the performance of the Grid components they manage and allocate resources in such a way that service level agreements are honored. Support for advanced features such as autonomic workload characterization on-the-fly, dynamic deployment of Grid servers on demand, as ll as dynamic system reconfiguration after a server failure is provided. The goal is to make the Grid middleware self-configurable and adaptable to changes in the system environment and workload. The approach is subjected to an extensive experimental evaluation in the context of a real-world Grid environment and its effectiveness, practicality and performance are demonstrated.
['Ramon Nou', 'Samuel Kounev', 'Ferran Julií', 'Jordi Torres']
I am writing a research paper on a idea Autonomic QoS control in enterprise Grid environments using online simulation
[{"from": "human", "value": "I am writing a research paper on a idea Autonomic QoS control in enterprise Grid environments using online simulation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: As Grid Computing increasingly enters the commercial domain, performance and quality of service (QoS) issues are becoming a major concern. The inherent complexity, heterogeneity and dynamics of Grid computing environments pose some challenges in managing their capacity to ensure that QoS requirements are continuously met. , a comprehensive framework for autonomic QoS control in enterprise Grid environments using online simulation is proposed.  presents a novel methodology for designing autonomic QoS-aware resource managers that have the capability to predict the performance of the Grid components they manage and allocate resources in such a way that service level agreements are honored. Support for advanced features such as autonomic workload characterization on-the-fly, dynamic deployment of Grid servers on demand, as ll as dynamic system reconfiguration after a server failure is provided. The goal is to make the Grid middleware self-configurable and adaptable to changes in the system environment and workload. The approach is subjected to an extensive experimental evaluation in the context of a real-world Grid environment and its effectiveness, practicality and performance are demonstrated."}]