Ant Colony Optimization is a viable framework for meta-scheduling in lambda grids.

An integrated control plane for co-allocating grid and networking resources is shown.

Three different resource co-allocation algorithms are proposed and evaluated.

RSVP-TE signaling protocol is extended to support advance reservation of resources.

Local scheduling and information aggregation affect meta-scheduling performance.