Global resource allocation refers to the process of distributing computing resources such as processors, memory, storage, network bandwidth, and services across different components of a distributed system. In Object-Oriented Analysis and Design (OOAD), effective resource allocation is essential for ensuring system performance, scalability, reliability, and efficient utilization of available resources. During system analysis and design, architects identify resource requirements based on functional and non-functional specifications and develop strategies to allocate these resources optimally. A distributed object-oriented system often consists of multiple servers, clients, databases, and application services. Resource allocation involves deciding where objects should reside, how processing tasks should be distributed, and how communication between objects should occur. The objective is to minimize response time, maximize throughput, reduce communication overhead, and balance workload across the system. Proper allocation also improves fault tolerance by preventing resource bottlenecks and ensuring that failures in one component do not significantly affect the entire system. Several factors influence global resource allocation. These include processor capacity, memory availability, network latency, communication cost, workload characteristics, user demand, and geographical distribution of users. Dynamic resource allocation techniques continuously monitor system conditions and reassign resources as workloads change, while static allocation assigns resources during system deployment based on predicted