PATENT CLAIM ANALYSIS

Application Number: 15983308
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["718", "104000"]

Abstract:
A method for managing an execution of a workload within a networked computing environment. The method includes at least one computer processor identifying a plurality of objects associated with a workload, the plurality of objects includes a first object. The method further includes identifying information corresponding to one or more one nodes that store an instance of the first object, where the information identifies features of a node. The method further includes identifying an embedded computing entity associated with processing at least the first object. The method further includes deploying an instance of the identified embedded computing entity to a first node that stores an instance of the first object based on information associated with features of the first node. The method further includes executing the workload utilizing the embedded computing entity.

Claim (Index 16):
The computer system of  claim 15 , wherein (i) the plurality of objects are distributed among a plurality of nodes, (ii) the plurality of nodes are utilized for object-based storage within a networked computing environment, and (iii) the networked computing environment supports replication of objects among different nodes.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 93.0
- Lexical Diversity: 2.59259
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15244466', '15095209', '15087533', '15150596', '15149210']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4548362676084894
- 35 USC 102 Novelty (BERT): 0.520786041319194
- Combined Prediction Score: 0.4614312449795599
- Mean Citation Score: 177.105986
- Max Citation Score: 242.66364
- Similarity Product: 179.50132215680122

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test