SecSched
Omais Shafi Pandith, Janibul Bashir · 2020
Trusted execution environments (TEEs) are an integral part of modern processors because security has become a very important concern. However, many such environments are bedeviled by the high cost of context switches, particularly when there is a switch from secure mode to non-secure mode owing primarily to cache pollution and TLB-flushing overheads. State-of-the-art implementations create a secure shared memory channel between a thread running in secure mode and a thread running in non-secure mode, which invokes system calls on its behalf. We argue that this is inefficient, and it is possible to reduce the overheads significantly by efficiently storing the context of secure threads and intelligent scheduling. In this paper, we propose a new scheduling algorithm SecSched that uses Cuckoo filters to capture the context of a thread. We schedule threads with similar contexts on the same core to leverage the effects of the locality. Our algorithm requires minimal hardware enhancements that are limited to maintaining a Cuckoo filter per core and a thread with the addition of few performance counters per thread to keep track of the miss counts. We show that with these minimal changes we can increase the performance of a suite of OS-intensive workloads by 27.6% with a minimal area overhead (around 0.04%).