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ECPS: An Application-Specific VM Scheduler Basing on CPU Pool Mechanism for Big Data Environment
ECPS: یک برنامه زمانبندی اختصاصی برنامه کاربردی مبتنی بر مکانیسم انبار CPU برای محيط داده های بزرگ-2018 Virtualization systems (e.g. Xen) provide powerful,
flexible and scalable infrastructures for big data processing. In the
virtualization system, the virtual machine (VM) scheduler is the
key component to efficiently consolidate the multiple VMs on the
virtual machine monitor (VMM), a.k.a. hypervisor. Xen employs
the CPU pool mechanism to improve the adaptability of the VM
scheduler for tasks of enormous variability and variety in the
environment of big data. However, the CPU pool mechanism
contains no algorithms to classify VMs or the time-slice allocation
strategy, which are indispensable for a complete implementation
of a high-adaptive VM scheduler. In this paper, we discuss the
optimizing opportunities and introduce an application-specific
VM scheduler, called ECPS (Enhanced CPU Pool Scheduler),
which is a CPU-pool-based VM scheduler enhanced with VM
multi-classification model and a reasonable time-slice allocation
strategy. The experimental evaluation shows that ECPS can
remarkably improve the performance of Xen virtualization
system.
Keywords: Big Data, CPU Pool, Time-slice, VM Scheduler, Xen |
مقاله انگلیسی |