PATENT CLAIM ANALYSIS

Application Number: 16133506
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["711", "112000"]

Abstract:
Embodiments of the present application relate to a method for scheduling virtual disk input and output (I/O) ports, a device for scheduling virtual disk I/O ports, and a computer program product for scheduling virtual disk I/O ports. A method for scheduling virtual disk I/O ports is provided. The method includes assigning a set of service quality ratings to a corresponding set of virtual disk I/O ports based on a set of reading-writing bandwidth quotas associated with the corresponding set of virtual disk I/O ports in a physical machine, determining a total forecast value of a data bandwidth to be used by reading-writing requests and determining virtual disk I/O ports, allocating reading-writing bandwidth limits to the virtual disk I/O ports, and scheduling virtual disk I/O ports on the physical machine.

Claim (Index 21):
The device as described in  claim 15 , wherein the allocating of the reading-writing bandwidth limits to the virtual disk I/O ports comprises:\n in the event that a change in quantity of virtual disk I/O ports occurs in the physical machine, re-allocating reading-writing bandwidth limits based on a total forecast value of data bandwidths of virtual disk I/O ports after the change in quantity of virtual disk I/O ports occurs.

Metadata:
- Claim Count in Document: 54.0
- Percentile: 97.0
- Lexical Diversity: 2.39655
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14253789', '15087396', '15833779', '13243752', '11947039']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4820617019491126
- 35 USC 102 Novelty (BERT): 0.5968372015107648
- Combined Prediction Score: 0.4935392519052778
- Mean Citation Score: 262.442062
- Max Citation Score: 491.04163
- Similarity Product: 475.0760897896672

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test