Want more unikernels? Inflate them!

peer reviewedUnikernels are on the rise in the cloud. These lightweight virtual machines (VMs) specialized to a single application offer the same level of isolation as full-blown VMs, while providing performance superior to standard Linux-based VMs or even to containers. However, their inherent specialization renders memory deduplication ineffective, causing unikernels, in practice, to consume more memory than their small memory footprint would suggest. This makes them less advantageous when thousands of SaaS and/or FaaS unikernels instances have to run on the same server. In this paper we introduce a novel approach to build the next generation of networked services and lambda functions by improving unikernel's memory layout so that it is more likely to share identical pages with other unikernels deployed on the system. Our approach supports SaaS and FaaS architectures and can be used with ASLR. Our experiments show that our approach can reduce the amount of physical memory used by a set of unikernels running on the same server by as much as 3x, with next to no overhead on applications performance