LAC Projects

Sector (sector.sourceforge.net). Sector is a high performance storage and compute cloud that scales to wide area networks. With Sector's simplified parallel programming framework, you can easily apply a user defined function to datasets that fill data centers.

Cistrack (www.cistrack.org). CUBioS is a system for managing, processing, analyzing and sharing biological data. CUBioS integrates databases with cloud computing to provide an infrastructure that scales to high throughput sequencing platforms. CUBioS uses the Sector/Sphere cloud to process images produced by high throughput sequencing platforms. Cistrack is a CUBioS instance for cis-regulatory data.

Canopy. With clouds, it is now possible with a portal to create, monitor, and migrate Virtual Machines (VMs). With the open source Canopy application, it is now possible to create, monitor and migrate Virtual Networks containing multiple VMs connected with virtualized network infrastructure. Canopy provides a standardized library of functions to programatically control switch VLAN assignments to create VNs at line speed. Canopy is an open source project with an alpha releases planned for 2010.

UDT (udt.sourceforge.net). UDT is a widely deployed application level network transport protocol designed for large data transfers over wide area high performance networks.

UDX (udt.sourceforge.net) UDX is a version of UDT that is designed for wide area high performance research and corporate networks within a single security domain (UDX does not contain the code UDT uses for transversing fire walls). In recent tests, UDX was able to achieve over 9.2 Gbps on a 10 Gbps wide area testbed.

The LAC Cloud Monitor is a low overhead monitor for clouds that gathers system performance for thousands of servers along multiple dimensions. It integrates with the Argus Monitoring System and Nagios for logging and alerting. LACCS is used for scheduling the Open Cloud Testbed. The LAC Cloud Monitor is open source.

The LAC Cloud Scheduler (LACCS) is a system for scheduling clouds for exclusive use by researchers. It is simple to use, scalable, and easy to deploy. Using LACCS, multiple groups can share easily a local or wide area cloud. LACCS is used for scheduling the Open Cloud Testbed. LACCS is open source.