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 12):
A terminal device, comprising:\n at least one processor; and a memory, coupled to the at least one processor and storing at least one computer executable instruction thereon which, when executed by the at least one processor, causes the at least one processor to:\n acquire n tasks running in parallel in a system, n being an integer; \n classify the n tasks into m task sets with each task set having a load level according to load capacities of the n tasks, m being an integer; \n determine demands of a current task set on processor resources according to at least one of a number of tasks in the current task set or a load coefficient corresponding to a load level of the current task set; and \n allocating the demands on the processor resources for the current task set.

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): 0.4148698240670364
- 35 USC 102 Novelty (BERT): 0.5051305054117037
- Combined Prediction Score: 0.4238958922015031
- Mean Citation Score: 147.64062199999995
- Max Citation Score: 150.88286000000005
- Similarity Product: 100.4041323461366

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