Virtual machine monitors improve your cloud performance
C. Titus, S Aparna · International journal of engineering, science and mathematics · 2014
Cloud computing is quickly becoming the platform of choice for many web services. Virtualization is the key underlying technology enabling cloud providers to host services for a large number of customers. Effective resource management for shared storage systems is challenging, even in research systems with complete end-to-end control over all system components. We evaluate the effectiveness of our implementation using quantitative experiments, demonstrating that this approach is practical. In this paper, we presented a novel I/O workload based performance attack which uses a carefully designed workload to incur significant delay on a targeted application running in a separate VM but on the same physical system. Such a performance attack poses an especially serious threat to data-intensive applications which require a large number of I/O requests. Hence, no hypervisor is needed to allocate resources dynamically, emulate I/O devices, support system discovery after boot up, or map interrupts and other identifiers.