18394888. TECHNOLOGIES FOR MANAGING CACHE QUALITY OF SERVICE simplified abstract (Intel Corporation)
Contents
- 1 TECHNOLOGIES FOR MANAGING CACHE QUALITY OF SERVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TECHNOLOGIES FOR MANAGING CACHE QUALITY OF SERVICE - A simplified explanation of the abstract
- 1.4 Potential Applications
- 1.5 Problems Solved
- 1.6 Benefits
- 1.7 Commercial Applications
- 1.8 Prior Art
- 1.9 Frequently Updated Research
- 1.10 Questions about Cache Quality of Service
- 1.11 Original Abstract Submitted
TECHNOLOGIES FOR MANAGING CACHE QUALITY OF SERVICE
Organization Name
Inventor(s)
Iosif Gasparakis of Hillsboro OR (US)
Malini K. Bhandaru of San Jose CA (US)
Ranganath Sunku of Beaverton OR (US)
TECHNOLOGIES FOR MANAGING CACHE QUALITY OF SERVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18394888 titled 'TECHNOLOGIES FOR MANAGING CACHE QUALITY OF SERVICE
The patent application discusses technologies for managing cache Quality of Service (QoS) in a compute node with a network interface controller (NIC) that calculates recommended cache ways for different workload types associated with virtual machines (VMs) based on network traffic.
- The compute node's NIC identifies the total amount of available shared cache ways in the last level cache (LLC) and destination addresses for multiple VMs.
- It calculates recommended amounts of hardware I/O LLC cache ways and isolated LLC cache ways for each workload type.
- The recommended cache ways are used to update a cache QoS register for each workload type.
Potential Applications
This technology can be applied in cloud computing environments to optimize cache allocation for different types of workloads, improving overall system performance and resource utilization.
Problems Solved
This technology addresses the challenge of efficiently managing cache resources in multi-tenant environments where multiple VMs with varying workload types share the same cache.
Benefits
- Enhanced performance for different workload types - Improved resource allocation and utilization - Better Quality of Service (QoS) for applications running on VMs
Commercial Applications
Optimizing cache allocation in cloud computing environments can lead to more efficient resource utilization, improved application performance, and better customer satisfaction, making it attractive for cloud service providers and enterprises with large-scale computing needs.
Prior Art
Prior research in cache management techniques for virtualized environments and multi-tenant systems can provide valuable insights into similar approaches and challenges in optimizing cache QoS.
Frequently Updated Research
Stay updated on the latest advancements in cache management techniques for virtualized environments, multi-tenant systems, and Quality of Service (QoS) optimization to ensure the most effective implementation of this technology.
Questions about Cache Quality of Service
How does cache Quality of Service impact overall system performance?
Cache Quality of Service plays a crucial role in determining how efficiently system resources are utilized, affecting application performance and user experience.
What are the key factors to consider when optimizing cache allocation for different workload types?
Factors such as network traffic patterns, application characteristics, and system resource availability are essential considerations when determining the optimal cache allocation for various workload types.
Original Abstract Submitted
Technologies for managing cache quality of service (QoS) include a compute node that includes a network interface controller (NIC) configured to identify a total amount of available shared cache ways of a last level cache (LLC) of the compute node and identify a destination address for each of a plurality of virtual machines (VMs) managed by the compute node. The NIC is further configured to calculate a recommended amount of cache ways for each workload type associated with VMs based on network traffic to be received by the NIC and processed by each of the VMs, wherein the recommended amount of cache ways includes a recommended amount of hardware I/O LLC cache ways and a recommended amount of isolated LLC cache ways usable to update a cache QoS register that includes the recommended amount of cache ways for each workload type. Other embodiments are described herein.
