PATENT CLAIM ANALYSIS

Application Number: 15901237
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["709", "223000"]

Abstract:
Systems and methods are provided for managing workloads across multiple resources in a distributed computing system. A data traffic flow between a source device and each of a plurality of target devices within the distributed computing system is monitored. A load state of each of the plurality of target devices is determined based on the monitored data traffic flow. Upon detecting a resource constraint for at least one of the plurality of target devices, at least a portion of the data traffic flow between the source device and the resource-constrained target device is adjusted such that the device operates at a reduced load state. The data traffic flow to the particular target device may be readjusted so as to restore its load state to a default or predetermined operating level once the resource constrained has been resolved.

Claim (Index 36):
The system of  claim 30 , wherein determining the packet loss rate for each of the plurality of target devices, based on the monitored data traffic flow between the source device and each target device includes:\n determining whether the respective target device has automatically dropped a data packet selected from a starting position of the linear data buffer.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.9589
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15211081', '14247880', '14483317', '13864167', '13864138']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2609339476094172
- 35 USC 102 Novelty (BERT): 0.5219189432459489
- Combined Prediction Score: 0.2870324471730703
- Mean Citation Score: 238.805442
- Max Citation Score: 322.73633
- Similarity Product: 251.8124286987209

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