PATENT CLAIM ANALYSIS

Application Number: 15881670
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-05
Patent Classification: ["709", "223000"]

Abstract:
For a multi-tenant environment, some embodiments of the invention provide a novel method for forwarding tenant traffic through a set of service machines to perform a set of service operations on the tenant traffic. In some embodiments, the method performs a classification operation on a data message flow of a tenant, in order to identify a set of service operations to perform on the data message flow. For some data message flows, the classification operation selects the identified set of service operations from several candidate sets of service operations that are viable service operation sets for similar data message flows of the tenant. In some embodiments, the classification operation is based on a set of attributes associated with the data message flow (e.g., five tuple identifier, i.e., protocol and source and destination ports and IP addresses).

Claim (Index 1):
In a multi-tenant network, a method of specifying service operations for a data message associated with a particular machine of a particular tenant, the method comprising:\n in a tunnel header for encapsulating a data message, storing a tenant identifier identifying the particular tenant and a plurality of service identifiers associated with a plurality of service machines for performing a plurality of service operations on the data message; and forwarding the data message encapsulated with the tunnel header along a tunnel to a first service machine to perform a first service operation identified by the plurality of service identifiers.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.27273
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15881652', '14929404', '14929401', '14929403', '14929402']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2714045248910933
- 35 USC 102 Novelty (BERT): 0.513101270512432
- Combined Prediction Score: 0.2955741994532271
- Mean Citation Score: 275.396382
- Max Citation Score: 313.5032
- Similarity Product: 257.86858112940786

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