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ResourceFreeing Attacks: Improve Your Cloud Performance (at Your Neighbor’s Expense (2012)
| Content Provider | CiteSeerX |
|---|---|
| Author | Varadarajan, Venkatanathan Kooburat, Thawan Farley, Benjamin Ristenpart, Thomas Swift, Michael M. |
| Description | Cloud computing promises great efficiencies by multiplexing resources among disparate customers. For example, Amazon’s Elastic Compute Cloud (EC2), Microsoft Azure, Google’s Compute Engine, and Rackspace Hosting all offer Infrastructure as a Service (IaaS) solutions that pack multiple customer virtual machines (VMs) onto the same physical server. The gained efficiencies have some cost: past work has shown that the performance of one customer’s VM can suffer due to interference from another. In experiments on a local testbed, we found that the performance of a cache-sensitive benchmark can degrade by more than 80 % because of interference from another VM. This interference incentivizes a new class of attacks, that we call resource-freeing attacks (RFAs). The goal is to modify the workload of a victim VM in a way that frees up resources for the attacker’s VM. We explore in depth a particular example of an RFA. Counter-intuitively, by adding load to a co-resident victim, the attack speeds up a class of cache-bound workloads. In a controlled lab setting we show that this can improve performance of synthetic benchmarks by up to 60 % over not running the attack. In the noisier setting of Amazon’s EC2, we still show improvements of up to 13%. In ACM CCS |
| File Format | |
| Language | English |
| Publisher Date | 2012-01-01 |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
