PATENT CLAIM ANALYSIS

Application Number: 15894980
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["718", "001000"]

Abstract:
Embodiments of the present invention include a method for running a virtual manager scheduler for scheduling activities for virtual machines. The method may include: defining a schedule for one or more activities to be executed for a virtual machine; applying an adjustment to the schedule in accordance with feedback information received via a virtual machine client aggregating the feedback information from a plurality of virtual machine clients, each being related to a virtual machine, per scheduled activity type; and determining of a group adjustment for a determined group of the virtual machine clients based on a function of the feedback information of the plurality of virtual machine clients.

Claim (Index 7):
A method comprising:\n defining an activity schedule for a virtual machine, the activity schedule comprises a timetable defining points in time for scheduled activities to be executed for the virtual machine; presenting the activity schedule to a user via a virtual machine client associated with the virtual machine; receiving feedback information about the activity schedule from the user via the virtual machine client; adjusting the activity schedule by changing a scheduled time for at least one of the scheduled activities based on the feedback information from the virtual machine client; aggregating the feedback information received from the virtual machine client based on an activity type; and applying a group adjustment to the activity schedule based on the aggregated feedback information, the group adjustment is only applied to scheduled activities of the same activity type.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 88.0
- Lexical Diversity: 1.91667
- Patent Class: 718.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14616898', '15162964', '15170053', '12332444', '15810790']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4555927869576156
- 35 USC 102 Novelty (BERT): 0.5359848631245427
- Combined Prediction Score: 0.4636319945743083
- Mean Citation Score: 250.89672000000004
- Max Citation Score: 305.5494
- Similarity Product: 238.40821968541147

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