Browse Prior Art Database

Topology Virtualization

IP.com Disclosure Number: IPCOM000246987D
Publication Date: 2016-Jul-20
Document File: 5 page(s) / 176K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a Visual to Virtual Artificial Intelligence (VtoV AI) Engine. This system takes a picture of a rendering on a whiteboard or on paper and converts it into a virtualized topology.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

Page 01 of 5

Topology Virtualization

Designers and architects often draw sketches on a whiteboard or paper and then sketch it out in some tool (e.g., Visio*, PowerPoint*) before handing it to the Information Technology (IT) team. Graphical renderings of computer topologies in existing graphics tools are transformed into virtualized environments in the cloud.

The novel contribution is a system that takes a picture of a rendering on a whiteboard or on paper and then converts that into a virtualized topology. The novel system enables IT architects that create computer configurations and topologies using existing graphical tools or a camera to turn a concept into reality by injecting the renderings and instantiating virtualized components in the cloud. The basic premise of the novel idea is that if a user can visualize it, then a user can virtualize it. This system literally takes the concept from the drawing board to a built-out computer topology.

The system and method enable user(s) to directly input various visual display sources (e.g., PowerPoint files, photographs, Visio diagrams, etc.) to a Visual to Virtual Artificial Intelligence (VtoV AI) Engine. The input can be transferred via any number of methods including but not limited to email, data transfer, text messaging, etc. Upon receipt of the visual data sources, the system initiates a comparison against both standardized palette(s) and historical topology flows and provides an output of the topology diagram back to the initiator(s)/user(s).

The output (i.e., generated topology diagram) can be sent to the initiator to validate the system's interpretation of the topology. The user can review/approve and/or make changes to the generated topology. If the user approves the topology without changes, then the system pushes/implements the topology. If the user makes changes prior to approving, then a learning engine feeds the changes back into the AI engine for consideration with future generated topologies.

IT designers/architects use figures and icons from a standardized palette to create the topology that includes details about servers, storage, memory, networking, etc. to create the topology in the graphical tool. The system then beams/feeds/injects/swipes this graphical source into the target cloud platform to actually create the virtualized environment without any further human intervention. While this description shows a rudimentary...