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Jobber: Automating Inter-Tenant Trust in the Cloud

Andy Sayler, Eric Keller, and Dirk Grunwald, University of Colorado, Boulder

Today, a growing number of users are opting to move their systems and services from self-hosted data centers to cloud-hosted IaaS offerings. These users wish to both benefit from the efficiencies that shared multitenant hosting can offer while still retaining or improving the kinds of security and control afforded by self-hosted solutions. In this paper, we present Jobber: a highly autonomous multi-tenant network security framework designed to handle both the dynamic nature of cloud datacenters and the desire for optimized inter-tenant communication. Our Jobber prototype leverages principals from Software Defined Networking and Introduction Based Routing to build an inter-tenant network policy solution capable of automatically allowing optimized communication between trusted tenants while also blocking or rerouting traffic from untrusted tenants. Jobber is capable of automatically responding to the frequent changes in virtualized data center topologies and, unlike traditional security solutions, requires minimal manual configuration, cutting down on configuration errors.

View the full HotCloud '13 program at https://www.usenix.org/conference/hot...