PATENT CLAIM ANALYSIS

Application Number: 16132030
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["718", "104000"]

Abstract:
Techniques for virtual workload deployment based on computing resource hardware load and associated network hardware load. For each of a plurality of computing resources within one or more data centers onto which a virtual workload can be deployed, a computing resource hardware load of the respective computing resource is determined. Network topology information is maintained for at least one network fabric of the one or more data centers, and an associated network hardware load of a network device communicatively connected to the respective computing resource is determined. Embodiments automatically select one or more computing resources. The virtual workload is deployed onto the automatically selected one or more computing resources.

Claim (Index 16):
The non-transitory computer-readable medium of  claim 15 , wherein the associated network hardware load comprises, in respective instances, (i) the measure of MAC table entries, (ii) the measure of VLAN availability, (iii) the measure of hardware network route availability, (iv) the measure of bandwidth subscriptions, (v) the measure of feature availability in each of the ToR switch and the spine network switch, (vi) the measure of server uplink subscriptions, and (vii) the measure of fabric link subscriptions.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 97.0
- Lexical Diversity: 2.14815
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14836004', '14868224', '14796826', '15810194', '15244466']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4170623836247693
- 35 USC 102 Novelty (BERT): 0.5521708225046762
- Combined Prediction Score: 0.4305732275127599
- Mean Citation Score: 213.957908
- Max Citation Score: 321.80566
- Similarity Product: 229.80539333964705

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

Dataset: test