PATENT CLAIM ANALYSIS

Application Number: 16240889
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["709", "226000"]

Abstract:
A method and associated systems for on-demand Internet of Things bandwidth allocation in response to changing sensor populations. An IOT sensor device adds itself to or deletes itself from a cluster of IOT sensors. A physical IOT controller that manages the cluster detects this change, identifies a resulting change in the cluster's bandwidth requirements, and stores this information in a local database. When such a sensor-population change satisfies a triggering condition, the controller requests that a cloud-based application server adjust the controller's bandwidth allocation. The server aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the server, using a standard API, asks the cloud-management platform to reprovision the server's virtual bandwidth allocation. The server then distributes the adjusted bandwidth among its IOT controllers, which in turn allocate their adjusted bandwidths among their sensor devices.

Claim (Index 2):
The virtualized-resource allocation system of  claim 1 , where the amount of additional resource requested by the virtualized device is a function of a change in a number of dynamic virtualized peripheral components connected to the virtualized device through the virtualized computer infrastructure, where the total number of dynamic virtualized peripheral components connected to the virtualized device continuously changes in response to user requirements.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.89655
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16001050', '14930778', '14955877', '15405584', '13971883']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2487570640078067
- 35 USC 102 Novelty (BERT): 0.5185080459762882
- Combined Prediction Score: 0.2757321622046549
- Mean Citation Score: 206.2362
- Max Citation Score: 298.6135
- Similarity Product: 211.57561125183105

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