A peer-to-peer solution for scalable virtual application deployment and execution on demand
This technology is a method for rapidly distributing and providing access to stored content from remote storage.
Unmet Need: Efficient virtual machine distribution for cloud applications
As more and more computing applications transition to the cloud, there is a need for a rapid and scalable approach to virtualization. A common bottleneck in virtualization is task execution. Existing virtual appliance deployment software requires full download of the virtual image before execution of the task, which leads to delays.
The Technology: Intelligent data retrieval for quick and scalable virtual machine distribution
This technology provides a rapid and scalable approach to virtualization by dividing the required virtual machine software image into smaller downloads. It utilizes a peer-to-peer network to retrieve the needed modules on demand, fetching first the modules needed for execution. The technology further minimizes delays by prefetching data modules based on a predictive algorithm of known task execution patterns and dynamically reacting to real-time demand from the host.
The technology has been implemented and tested using a variety Linux and Windows desktop virtual appliances. It is able to execute many workloads using only 5-15% of the full virtual image download through the use of module segmentation and efficiently conserves bandwidth through the use of its predictive algorithm.
Applications:
- Enterprise-wide software deployment
- Datacenter distribution services
- Applications in the cloud
- Peer-to-peer network optimization
- Linux- and Windows-based virtual machine monitors
Advantages:
- Scalable distribution of identical virtual machines
- Rapid on-demand data retrieval
- Predictive and dynamic data retrieval for bandwidth optimization in peer-to-peer setting
Lead Inventor:
Patent Information:
Related Publications:
Tech Ventures Reference:
IR M11-038
Licensing Contact: Greg Maskel