PATENT CLAIM ANALYSIS

Application Number: 15872112
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["709", "226000"]

Abstract:
Aspects of an embodiment of the invention disclose a method, computer program product, and system for managing the energy efficiency of servers providing multi-class computing services with Quality of Service (QoS) assurance. Computing resources are clustered into at least three groups, where each group has a separate power management policy (PMP). A plurality of requests are received from a plurality of devices, and are sorted into at least three service classes based on the requests' QoS criteria. Each request is assigned to one of at least three service queues based on the request's service class, and each service group is processed by a group of computing resources. The power management policies are configured such that each group of computing resources may service requests at an energy efficient point while meeting the QoS criteria of the service class.

Claim (Index 14):
The computer program product of  claim 13 , wherein adjusting the PMP for the group of computing resources to increase an efficiency of the group of computing resources comprises consolidating work onto few processor cores using processor folding and placing one or more processor cores in a low power mode.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 86.0
- Lexical Diversity: 1.82143
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14656816', '10804516', '10060378', '10439791', '10321680']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2742573072517796
- 35 USC 102 Novelty (BERT): 0.5060895455180151
- Combined Prediction Score: 0.2974405310784032
- Mean Citation Score: 185.797208
- Max Citation Score: 303.55682
- Similarity Product: 256.09733456147666

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

Dataset: test