Workload Domain Manager for Virtualized Server Resource Allocation
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Solution Overview
Problem
Current virtual server rack systems face challenges in managing diverse hardware and software components with different operating systems, leading to inefficiencies in resource utilization and management, particularly in cloud computing environments where cost-effective and efficient workload domain management is necessary.
Innovation Solution
The implementation of a workload domain manager that dynamically adjusts resources by populating and managing a free pool of virtualized servers based on user requirements, comparing health statuses to policy rules, and allocating or deallocating resources to optimize availability, capacity, and performance across the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If virtualized servers are dynamically allocated and deallocated based on real-time needs, then resource utilization efficiency is improved, but system complexity increases due to the need for continuous health status monitoring and policy rule comparison
Solution Approach 1:
The workload domain manager automatically monitors health statuses of virtualized servers and autonomously allocates or deallocates resources based on pre-defined policy rules, eliminating the need for manual intervention and reducing operational complexity while maximizing resource utilization efficiency
Solution Approach 2:
The system continuously monitors health statuses of virtualized servers and uses this feedback to dynamically adjust resource allocation, ensuring optimal resource utilization based on real-time system conditions without requiring complex manual control mechanisms
2Ease of operation
If a free pool of virtualized servers is maintained and dynamically managed, then workload domain management is simplified, but computational overhead increases due to continuous health status comparisons and allocation decisions
Solution Approach 1:
Policy rules for resource allocation are pre-defined and stored in advance, allowing the workload domain manager to make rapid allocation decisions by simply comparing current health statuses against these pre-established criteria, thereby simplifying management while minimizing real-time computational overhead
Solution Approach 2:
The system performs automated health status monitoring and allocation decisions without requiring manual intervention, reducing the operational burden on administrators while the streamlined automated process keeps computational overhead manageable through efficient monitoring and decision-making algorithms
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture are disclosed to improve workload domain management of virtualized server systems. An example apparatus includes a resource pool handler to generate a pool of virtualized servers including a first virtualized server based on a policy, ones of the virtualized servers to be allocated to a workload domain to execute an application, a resource status analyzer to determine a health status associated with the workload domain and determine whether the health status satisfies a threshold based on the policy, and a resource allocator to allocate the first virtualized server to the workload domain to execute the application when the health status is determined to satisfy the threshold.