PATENT CLAIM ANALYSIS

Application Number: 15861461
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["709", "201000"]

Abstract:
An exemplary system includes a cloud server configured to provide a service to a client device by way of a network. The cloud server implements a batch layer of a data-processing architecture. The system further includes an edge computing device configured to provide a latency-sensitive task of the service to the client device by way of the network in response to a request from the client device to offload the latency-sensitive task. The edge computing device is separate from and communicatively coupled to the cloud server, is located at an edge of the network such that a latency of data communications between the edge computing device and the client device is lower than a latency of data communications between the cloud server and the client device, and implements a speed layer of the data-processing architecture at the edge of the network.

Claim (Index 19):
The method of  claim 15 , further comprising:\n implementing, by the speed layer, a set of individually executable microservices, and initiating execution, by the speed layer and at the edge of the network, of one or more of the individually executable microservices included in the set of individually executable microservices to provide the latency-sensitive task associated with the service.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.77358
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14927306', '15860431', '12484356', '15496568', '13222876']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2420002386987937
- 35 USC 102 Novelty (BERT): 0.4859664009492389
- Combined Prediction Score: 0.2663968549238383
- Mean Citation Score: 144.368772
- Max Citation Score: 159.48811
- Similarity Product: 98.5874699587077

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