In cloud computing, where clients are billed based on the consumed
\nresources for outsourced tasks, both the cloud providers and the clients have the
\nincentive to manipulate claims about resource usage. Both desire an accurate and
\nverifiable resource accounting system, which is neutral and can be trusted to refute
\nany disputes. In this work, we present VERICOUNT \u2014a verifiable resource
\naccounting system coupled with refutable billing support for Linux container based
\napplications. To protect VERICOUNT logic, we propose a novel approach
\ncalled self-accounting that combines hardware-based isolation guarantees from
\ntrusted computing mechanisms and software fault isolation techniques. The self-accounting
\nengine in VERICOUNT leverages security features present in trusted
\ncomputing solutions, such as Intel SGX, to measure user CPU time, memory,
\nI\/O bytes and network bandwidth while simultaneously detecting resource usage
\ninflation attacks. We claim three main results. First, VERICOUNT incurs an average
\nperformance overhead of 3.62% and 16.03% over non-accounting but SGX compatible
\napplications in hardware and simulation mode respectively. Next, it
\ncontributes only an additional 542 lines of code to the trusted computing base.
\nLastly, it generates highly accurate, fine-grained resource accounting, with no
\ndiscernible difference to the resource measuring tool available with the OS.<\/p>\n","protected":false},"excerpt":{"rendered":"
In cloud computing, where clients are billed based on the consumed resources for outsourced tasks, both the cloud providers and the clients have the incentive to manipulate claims about resource usage. Both desire an accurate and verifiable resource accounting system, which is neutral and can be trusted to refute any disputes. In this work, we 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