Secure Hypervisor sHype project 17 aims to support controlled sharing of

Secure hypervisor shype project 17 aims to support

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Secure Hypervisor (sHype) project [17] aims to support controlled sharing of resources between VMs on a platform, such as memory, CPU cycles, and network bandwidth. The above mentioned projects didn’t consider the security of the VMM itself. E. Performance Evaluation With the development of virtual machine technology, the performance of virtual machine begins to be widely concerned. In order to research the performance of virtual machine, people present a lot of methods and make a great progress. These methods involve a lot of fields of virtual machine system. They can be simply shown as follows. Menasc´e presents an analytic performance model for the general virtualized systems [18]. In the analytic performance model, the author uses an analytic queueing method to evaluate the performance of virtual environments. Bolker and Ding [19] discusses the analytic queuing models for the virtualized system. They focused on the models on processor utilization and finally tested their model to study the VMware by a benchmark. In [20], Menon et al present a diagnosing performance overhead method about resource scheduling in the xen virtual machine environment. In this method, a toolkit is used to analyze performance overheads incurred by networking applications running in Xen VMs. The toolkit enables coordinated profiling of multiple VMs in a system to obtain the distribution of hardware events such as clock cycles and cache and TLB misses. In [21], the authors analyze and compare the CPU schedulers in the Xen virtual machine monitor (VMM) in the context of traditional workload managers. They use the open source Xen virtual machine monitor to perform a comparative evaluation of three different CPU schedulers for virtual machines and analyze the impact of the CPU scheduler and resource allocation on application performance. In [22], the monitoring method is used to evaluate the performance of a virtualization system. In the monitoring method, xm and Xenoprof are powerful tools to realize system profiling. In [23], Baba et al. proposes a disk access throughput evaluation method in virtual machine environments where multiple
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independent virtual machines share a common physical shared disk drive. In [24], Ye et al. provide a framework to analyze the performance of virtual machines system, which is based on the queueing network models. In the framework, the virtual machines either do not run at all or just monitor the virtual machines instead of the hypervisor. III. FUTURE TRENDS Owing to most modern CPU architecture were not designed to be virtualizable, the development of virtual machine technology is very slowly. Only a new execution mode is added to the processor, Intel with its Vanderpool technology and AMD with its Pacifica technology can support for x86 CPU virtual machine monitors. The new processor can let a VMM safely and transparently use direct execution for running virtual machines. In order to improve performance, it is necessary for the future mode to reduce both the traps needed to implement virtual machines and the time it takes to perform the traps. Only these technologies become available, direct- execution-only virtual machine monitors could be possible on x86 processors.
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  • Fall '16
  • Sir Adnan
  • virtual machine

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