On 11 March 2011 Japan suffered a major earthquake. The resulting tsunami caused great loss of life and devastated many buildings, industries, and information services. Similarly, recent flooding in Thailand resulted in the destruction of property and a disruption of services. Thus, it is prudent for information technology infrastructure and services providers to formulate and implement procedures for rapid disaster recovery of key services that become even more critical during catastrophic events. To aid in our understanding of how academic resource centers can positively respond to such events, we have prototyped, developed and deployed GEO (Global Earth Observation) Grid applications on a distributed infrastructure made up of physical clusters contributed by our international colleagues. On top of these clusters, each site was able to host virtual machines, using their choice of virtualization infrastructure. We were able to realize a secure and transparent Inter-Cloud infrastructure through automated translation of virtual machines (e.g., between different hypervisors) and network virtualization. Cloud interoperation enables sharing of virtual machine images by private and public Clouds, i.e. a virtual machine image could be shared by different VM hosting environments including OpenNebula, Rocks, and Amazon EC2. Insights gained through the preliminary experiments indicated the key issue for Inter-Cloud is how we could use technologies for network virtualization. We used OpenFlow for network virtualization to build a secure (isolated) network for Inter-Cloud.