View source for 18085902. MULTI-LEVEL SCHEDULING FOR IMPROVED QUALITY OF SERVICE simplified abstract (Advanced Micro Devices, Inc.)

=MULTI-LEVEL SCHEDULING FOR IMPROVED QUALITY OF SERVICE=


==Organization Name==

[[:Category:Advanced Micro Devices, Inc.|Advanced Micro Devices, Inc.]]


[[Category:Advanced Micro Devices, Inc.]]

==Inventor(s)==

[[:Category:Ahmed M. Abdelkhalek of Ajax (CA)|Ahmed M. Abdelkhalek of Ajax (CA)]][[Category:Ahmed M. Abdelkhalek of Ajax (CA)]]

[[:Category:Rutao Zhang of Markham (CA)|Rutao Zhang of Markham (CA)]][[Category:Rutao Zhang of Markham (CA)]]

[[:Category:Min Zhang of King City (CA)|Min Zhang of King City (CA)]][[Category:Min Zhang of King City (CA)]]

[[:Category:Yinan Jiang of Richmond Hill (CA)|Yinan Jiang of Richmond Hill (CA)]][[Category:Yinan Jiang of Richmond Hill (CA)]]

[[:Category:Jeffrey G. Cheng of Toronto (CA)|Jeffrey G. Cheng of Toronto (CA)]][[Category:Jeffrey G. Cheng of Toronto (CA)]]

[[:Category:Yuping Shen of Oviedo FL (US)|Yuping Shen of Oviedo FL (US)]][[Category:Yuping Shen of Oviedo FL (US)]]

[[:Category:Mikhail Mironov of Richmond Hill (CA)|Mikhail Mironov of Richmond Hill (CA)]][[Category:Mikhail Mironov of Richmond Hill (CA)]]

==MULTI-LEVEL SCHEDULING FOR IMPROVED QUALITY OF SERVICE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18085902 titled 'MULTI-LEVEL SCHEDULING FOR IMPROVED QUALITY OF SERVICE

==Simplified Explanation==
A parallel processor is designed to enforce job limits for virtual functions on a virtual machine to ensure a consistent quality of service. A scheduler prioritizes well-behaving virtual functions over badly-behaving ones to prevent resource consumption imbalance.

==Key Features and Innovation==
* Parallel processor enforces job limits for virtual functions
* Scheduler prioritizes well-behaving virtual functions
* Prevents badly-behaving virtual functions from consuming disproportionate resources

==Potential Applications==
This technology can be applied in cloud computing, virtualization, and server management systems to optimize resource allocation and improve overall system performance.

==Problems Solved==
* Prevents badly-behaving virtual functions from impacting the quality of service of well-behaving ones
* Ensures fair resource allocation among virtual functions

==Benefits==
* Consistent quality of service for virtual functions
* Improved system performance and resource utilization
* Mitigation of negative impact from badly-behaving virtual functions

==Commercial Applications==
Optimizing resource allocation in cloud computing environments can lead to cost savings, improved user experience, and increased efficiency in server management systems.

==Prior Art==
Readers interested in prior art related to this technology can explore research on virtualization, parallel processing, and resource scheduling in cloud computing systems.

==Frequently Updated Research==
Stay updated on the latest advancements in parallel processing, virtualization technologies, and resource scheduling algorithms to enhance the performance of cloud computing systems.

==Questions about Parallel Processing==
===How does parallel processing improve resource allocation in virtualized environments?===
Parallel processing allows for efficient distribution of tasks among multiple processing units, optimizing resource utilization and improving system performance in virtualized environments.

===What are the key benefits of using a scheduler to prioritize virtual functions?===
Schedulers help ensure a consistent quality of service by prioritizing well-behaving virtual functions, preventing badly-behaving ones from consuming excessive resources and impacting overall system performance.


==Original Abstract Submitted==

A parallel processor is configured to enforce job limits for virtual functions to facilitate an expected quality of service for each of the virtual functions assigned to a virtual machine executing at the processing unit. A scheduler schedules well-behaving virtual functions prior to badly-behaving virtual functions to prevent badly-behaving virtual functions from consuming a disproportionate share of hardware resources, thereby mitigating an impact of the badly-behaving virtual functions on the quality of service of the well-behaving virtual functions.



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