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Method to optimize software feature license usage on the basis of subscriber profile and changing license allocation model accordingly

IP.com Disclosure Number: IPCOM000205853D
Publication Date: 2011-Apr-06
Document File: 4 page(s) / 126K

Publishing Venue

The IP.com Prior Art Database

Abstract

ABSTRACT Network Equipment Providers offer new services as feature packages to telecom operators and services can be used only if licenses are purchased by the operator. As subscribers grow, telecom operators need to purchase new feature licenses. A new subscriber can be added or existing subscriber can be offered additional services only if operator has purchased required feature licenses. So the business model to issue licenses is "Pay per Subscriber". Existing approaches like License Pooling and sharing make licenses available based on assumption that not all licenses will be consumed at the same time and the system has not reached its peak level. Other approaches are buying short term licenses that increase cost. The proposed solution differs from existing solution in a way that license utilization can be optimized based on subscriber profiling when system has reached or is nearing peak usage especially in high demand seasons like holidays, New Year etc.

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Method to optimize software feature license usage on the basis of subscriber profile and changing license allocation model accordingly

BACKGROUND

When license utilization is 100% or nearing high threshold limit and operator needs to purchase additional licenses. Prior to purchasing additional licenses, there needs to be a mechanism to provide list of delinquent subscribers based on attributes like low ARPU, airtime usage, regions etc. Operator has an option to group subscribers based on single or multiple attributes like low usage, payment history etc. Reallocate licenses per group instead of per subscriber. This would release the licenses for reuse. So instead of license allocation per subscriber, the allocation of licenses is per group.

In case, the delinquent subscriber is blacklisted, then operator can delete the subscriber and license is available for re-use.

PROPOSED SOLUTION

So the proposed solution aims to optimize license usage by changing the allocation model from "Per Subscriber" basis to "Per Group" basis. At first level, list of delinquent subscribers should be created based on their usage profile. Subscribers can be further grouped based on attributes showing low usage. Operator/Administrator should then re-allocate licenses per group rather than per subscriber. Freed licenses can be reused to provision additional premium subscribers.

To summarize, the exact claims as per the proposed method to optimize license usage are mentioned below -

a) Increasing the availability of licenses in a pool during peak usage and when license consumptions is nearing exhaustion e.g during holidays, emergency conditions
b) Exhaustion threshold is set to trigger license optimization and increase availability of licenses.
c) Availability of licenses is increased by creating subscriber groups based on services usage and ARPU. Fewer licenses are assigned to subscriber group that have low usage and ARPU. License allocation is changed to per group for passive/delinquent users as compared to per subsc...