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 13):
The computer program product of  claim 8 , further comprising:\n program instructions to maintain one or more databases that cross-references: classifications corresponding to objects, computational operations, executable procedures, embedded computing entities, and one or more hardware features that affect a performance associated with a computational operation.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 93.0
- Lexical Diversity: 2.59259
- Patent Class: 718.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15244466', '15095209', '15087533', '15150596', '15149210']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.425619264044637
- 35 USC 102 Novelty (BERT): 0.5181784819168962
- Combined Prediction Score: 0.4348751858318629
- Mean Citation Score: 177.105986
- Max Citation Score: 242.66364
- Similarity Product: 180.25914268877503

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