Reliable Resource Allocation Models and Management System with considering computing workload

容错和负载平衡是资源分配中的两个关键角色。在我读博士的第一年，研究中，对资源共享模式进行了设计和描述。提出了一种主备资源分配模型，该模型以最小化多故障时不可用概率的加权值为目标，设置了预防性恢复优先级。此外，本文还在Kubernetes中设计并实现了一个支持资源迁移的实时功能部署系统，用于在动态场景下管理网络功能的主备资源，实现功能的快速部署和管理，这是网络功能虚拟化中提高网络服务连续性和可靠性的关键。

Fault tolerance and load balancing are two key roles in resource allocation against failures. In the first year of my Ph.D. research, I conducted the resource-sharing model design and description. I proposed a primary and backup resource allocation model with preventive recovery priority setting to minimize a weighted value of unavailable probability against multiple failures. In addition, I design and implements a Real-time Function Deployment system with Resource Migration in Kubernetes to manage the primary and backup resources of network functions in the dynamic scenario for prompt function deployment and management, which is a key role in network function virtualization to improve the continuity and reliability of network services.