PATENT CLAIM ANALYSIS

Application Number: 16119151
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["718", "104000"]

Abstract:
A method for allocating processor resources and a terminal device are provided. The method includes the follows. Acquire n tasks running in parallel in a system, where n is an integer. The n tasks are classified into m task sets with each task set having a load level according to load capacities of the n tasks, where m is an integer. Demands of a current task set on processor resources are determined according to at least one of the number of tasks in the current task set and a load coefficient corresponding to a load level of the current task set. The demands on the processor resources are allocated for the current task set.

Claim (Index 4):
The method of  claim 3 , further comprising:\n determining first extra demands of the current task set on the processor resources with the operation level corresponding to the load level of the current task set, when the number of the available core processing units in the unit set is less than the demands of the current task set; determining second extra demands on processor resources with other operation levels according to the first extra demands; determining whether the processor resources with other operation levels satisfy the second extra demands; and allocating the processor resources with other operation levels for the current task set according to the second extra demands, based on a determination that the processor resources with other operation levels satisfy the second extra demands.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 96.0
- Lexical Diversity: 2.17857
- Patent Class: 718.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14595796', '14566642', '12303529', '14244758', '15267153']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4130503210859272
- 35 USC 102 Novelty (BERT): 0.5121420386870423
- Combined Prediction Score: 0.4229594928460388
- Mean Citation Score: 147.64062199999995
- Max Citation Score: 150.88286000000005
- Similarity Product: 94.24137038112406

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

Dataset: test