Automatic Multi-Application Scanner for Application Migration to Cloud

• US 20160036724A1
• Filed: 07/31/2015
• Published: 02/04/2016
• Est. Priority Date: 07/31/2014
• Status: Abandoned Application

• Current Assignee: Corent Technology, Inc.
• Original Assignee: Corent Technology, Inc.
• Inventors: Syed, Shafiullah, Ramalingam, Balakrishnan, Venkataraman, Sethuraman, Prabhu, Jeya Anantha
• Application Number:
  US14/815,648
• Publication Number:
  US 20160036724A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 41/0896 Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76
• CPC Class Codes: H04L 41/5025 by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade
• CPC Class Codes: H04L 41/5096 wherein the managed service relates to distributed or central networked applications

Abstract

A system for estimating the costs to migrate a non-tenant-aware application to an equivalent tenant-aware application is disclosed. The system scans and identifies local resources used by the non-tenant-aware application and matches the identified local resources with cloud resources capable of sustaining an equivalent tenant-aware application. The system estimates the cost to migrate the non-tenant-aware application based upon the matched resources and exports a summary of the estimated costs.

Claims

1. A system for evaluating compatibility, comprising:

a scanning engine configured to identify a set of local resources used by a non-tenant-aware application;

a matching engine configured to match the identified set of local resources with a set of cloud resources for an equivalent tenant-aware application;

an analysis engine configured to estimate a cost to migrate the non-tenant-aware application to the equivalent tenant-aware application as a function of the matched set of cloud resources;

a rendering engine that presents a representation of the cost a user interface.

2. The system of claim 1 wherein the local resources is selected from the group consisting of a hardware characteristic, a network characteristic, and a software characteristic.

3. The system of claim 1, wherein the scanning engine is further configured to identify an application environment context comprising hardware resources, software resources, and network resources used by the non-tenant-aware application.

4. The system of claim 3, wherein the scanning engine is further configured to identify a set of application modules of the non-tenant-aware application utilizing the identified application environment context.

5. The system of claim 3, wherein the scanning engine is further configured to save the application environment context into a database storage area for analysis.

6. The system of claim 1, further comprising an application correlation engine configured to correlate the identified application environment context with the non-tenant aware application.

7. The system of claim 6, wherein the application correlation engine is further configured to correlate a set of application modules of the non-tenant-aware application utilizing the identified application environment context with the non-tenant aware application.

8. The system of claim 1, wherein the matching engine is further configured to match the identified set of local resources with a set of cloud resources as a function of optimized cost.

9. The system of claim 1, wherein the matching engine is further configured to match the identified set of local resources with a set of cloud resources as a function of optimized performance.