云平台中多云用户联合博弈服务机制与策略探索

With the advancement of social economy and science and technology, high computational requirements and complex applications such as high-energy physics calculations, nuclear fusion simulations, aerospace computations, and hurricane predictions have driven the development of high-performance supercomputing systems. Cloud computing has become one of the fastest growing new industries in the world. It is an information technology paradigm that enables ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet. Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a public utility. It offers an attractive paradigm for the dynamic provisioning of computing services in a pay-as-you-go manner. Customers use and pay for services on-demand without considering the upfront infrastructure costs and the subsequent maintenance costs, while cloud providers are not concerned about the overprovisioning or underprovisioning...With the increasing number of cloud users, the cloud computing center provided by the cloud provider is expanding the scale of the cloud computing system in order to meet various types of resource service requests of cloud users. Therefore, the demand for system energy consumption is also constantly increasing. However, the low resource utilization causes many of the computer's resources to be idle, resulting in a lot of wasted resources and wasted overhead. The cloud providers can full the huge money consumption gap caused by “high energy consumption and low utilization rate” by establishing a suitable load balancing scheduling system. ..A lot of work has been done to optimize the benefits of providers in terms of energy consumption and task scheduling to balance the load. With the increasing number of cloud computing users and increasingly personalized needs, the benefits of optimizing cloud users are also becoming increasingly prominent. However, few people are concerned about maximizing the benefits of cloud users, and even at the same time studying and portraying the benefits of cloud users and cloud providers. This project is aimed at optimizing the benefits of cloud users, and at the same time optimizing the benefits of cloud providers and user benefits. It intends to design and optimize the combined benefits of cloud users, simultaneously optimize the model of cloud provider benefits and user benefits based on key technologies such as cooperative game, non-cooperative game, task scheduling and resource allocation theory and methods.

随着社会经济和科学技术的进步，高能物理计算、核聚变模拟、航空宇宙计算、飓风预测等高计算需求与复杂应用推动着高性能超级计算系统的发展，云计算已成为当前世界发展最为迅猛的新型产业之一。关于能量消耗和任务调度来平衡负载方面优化提供商的效益做了大量的工作。随着云计算用户不断增多以及需求日益个性化，优化云用户的效益问题也日益突出。然而，很少有人关注云用户的效益最大化，甚至是同时研究和刻画云用户和云提供商效益的问题。本项目面向多云用户的效益优化问题，同时优化多云提供商效益和用户效益问题，拟以合作博弈、非合作博弈以及任务调度、资源分配理论与方法等关键技术，设计实现优化多云用户的联合效益系统理论模型，同时优化多云提供商效益和用户效益的模型。

随着社会经济和科学技术的进步，高能物理计算、核聚变模拟、航空宇宙计算、飓风预测等高计算需求与复杂应用推动着高性能超级计算系统的发展，云计算已成为当前世界发展最为迅猛的新型产业之一。关于能量消耗和任务调度来平衡负载方面优化提供商的效益做了大量的工作。随着云计算用户不断增多以及需求日益个性化，优化云用户的效益问题也日益突出。然而，很少有人关注云用户的效益最大化，甚至是同时研究和刻画云用户和云提供商效益的问题。本项目面向多云用户的效益优化问题，同时优化多云提供商效益和用户效益问题，拟以合作博弈、非合作博弈以及任务调度、资源分配理论与方法等关键技术，设计实现优化多云用户的联合效益系统理论模型，同时优化多云提供商效益和用户效益的模型。