1- During the boot time- which of the following solutions loads the hy.pdf
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1. During the boot time, which of the following solutions loads the hypervisor into the memory before any of the OS kernel? A. VMware ESX B. Microsoft Hyper-V C. Xen D. Linux KVM 2. Which of the following methods will NOT provide accurate CPU accounting for an application running in a VM? A. Patching the guest OS to use cycle-based accounting, instead of tick-based. B. Running a driver inside the VM periodically synchronizing the clock with hypervisor. C. Write the application using the pseudo-performance counter provided by hypervisor via the VM. D. All of the above methods do not provide accurate CPU accounting. 3. HyperThreading may increase the throughput of the physical CPU core. True or False 4.HyperThreading is a technology that makes a physical CPU core perform nearly same as two physical CPU cores. True or False 5.HyperThreading provides instruction-level parallelism. True or False 6.IBM POWER SMT mode has to be enabled at boot time. True or False .
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VMware vSphere memory overcommitment delivered greater VM density than Red Ha...
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The VMware vSphere server comfortably ran 24 VMs, 1.60 times as many as it ran without memory overcommitment, and delivered 1.57 times the total number of orders per minute. As we have emphasized throughout this report, this dramatic improvement occurred using the vSphere out-of-the-box settings and required no manual tuning. The RHV could not run more than 16 VMs.
vSphere employs multiple memory management techniques, including ballooning and compression to keep VMs running and highly available. In extreme cases when additional memory is necessary to keep VMs running, vSphere engages memory swapping as long as sufficient disk space is available to swap the overcommitted memory. This comes at a small cost to per-VM performance, but ensures that VMs can power on in almost any configuration of RAM allocation, as long as other server resources, such as CPU and storage, are not constrained. Note that admins can also enable Transparent Page Sharing to consolidate memory even further; because we wanted to represent the out-of-the-box experience with vSphere, we did not enable Transparent Page Sharing or use it in any of our tests.
In contrast, the RHV approach to managing memory overcommitment requires manual tuning to increase VM density. Moreover, unless an individual VM’s Maximum RAM is available on the host RHV cannot power on the VM. This means that even with Memory Optimization enabled, RHV cannot overcommit memory indefinitely.
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The VMware vSphere server comfortably ran 24 VMs, 1.60 times as many as it ran without memory overcommitment, and delivered 1.57 times the total number of orders per minute. As we have emphasized throughout this report, this dramatic improvement occurred using the vSphere out-of-the-box settings and required no manual tuning. The RHV could not run more than 16 VMs.
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In contrast, the RHV approach to managing memory overcommitment requires manual tuning to increase VM density. Moreover, unless an individual VM’s Maximum RAM is available on the host RHV cannot power on the VM. This means that even with Memory Optimization enabled, RHV cannot overcommit memory indefinitely.
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Chapter 5 – Cloud Resource
Virtualization
Contents
Virtualization.
Layering and virtualization.
Virtual machine monitor.
Virtual machine.
Performance and security isolation.
Architectural support for virtualization.
x86 support for virtualization.
Full and paravirtualization.
Xen 1.0 and Xen 2.0.
Performance comparison of virtual machine monitors.
The darker side of virtualization.
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Cloud Computing: Theory and Practice. Chapter 5 2 Dan C. Marinescu
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Memory.
Communications links.
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monitor (VMM) can de saved and migrated to another server to
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System security, as it allows isolation of services running on
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Performance and reliability, as it allows applications to migrate
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The development and management of services offered by a
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Performance isolation.
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Virtualization
Simulates the interface to a physical object by:
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into a RAID disk.
Emulation: constructs a virtual object from a different type of a
physical object. Example - a physical disk emulates a Random
Access Memory (RAM).
Multiplexing and emulation. Examples - virtual memory with
paging multiplexes real memory and disk; a virtual address
emulates a real address.
Cloud Computing: Theory and Practice.
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Layering
Layering – a common approach to manage system complexity.
Minimizes the interactions among the subsystems of a complex
system.
Simplifies the description of the subsystems; each subsystem is
abstracted through its interfaces with the other subsystems.
We are able to design, implement, and modify the individual
subsystems independently.
Layering in a computer system.
Hardware.
Software.
Operating system.
Libraries.
Applications.
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Chapter 5 – Cloud Resource Virtua.docx
Chapter 5 – Cloud Resource
Virtualization
Contents
Virtualization.
Layering and virtualization.
Virtual machine monitor.
Virtual machine.
Performance and security isolation.
Architectural support for virtualization.
x86 support for virtualization.
Full and paravirtualization.
Xen 1.0 and Xen 2.0.
Performance comparison of virtual machine monitors.
The darker side of virtualization.
Software fault isolation.
Cloud Computing: Theory and Practice. Chapter 5 2 Dan C. Marinescu
Motivation
There are many physical realizations of the fundamental
abstractions necessary to describe the operation of a computing
systems.
Interpreters.
Memory.
Communications links.
Virtualization is a basic tenet of cloud computing, it simplifies the
management of physical resources for the three abstractions.
The state of a virtual machine (VM) running under a virtual machine
monitor (VMM) can de saved and migrated to another server to
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Chapter 5 3 Dan C. Marinescu
Motivation (cont’d)
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from one platform to another.
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Simulates the interface to a physical object by:
Multiplexing: creates multiple virtual objects from one instance
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Emulation: constructs a virtual object from a different type of a
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Multiplexing and emulation. Examples - virtual memory with
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Layering – a common approach to manage system complexity.
Minimizes the interactions among the subsystems of a complex
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Simplifies the description of the subsystems; each subsystem is
abstracted through its interfaces with the other subsystems.
We are able to design, implement, and modify the individual
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Layering in a computer system.
Hardware.
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Performance and security isolation.
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Full and paravirtualization.
Xen 1.0 and Xen 2.0.
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Interpreters.
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Communications links.
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balance the load.
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familiar with, rather than forcing them to idiosyncratic ones.
Cloud Computing: Theory and Practice.
Chapter 5 3 Dan C. Marinescu
Motivation (cont’d)
Cloud resource virtualization is important for:
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Performance isolation.
Cloud Computing: Theory and Practice.
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Virtualization
Simulates the interface to a physical object by:
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among a number of processes or threads.
Aggregation: creates one virtual object from multiple physical
objects. Example - a number of physical disks are aggregated
into a RAID disk.
Emulation: constructs a virtual object from a different type of a
physical object. Example - a physical disk emulates a Random
Access Memory (RAM).
Multiplexing and emulation. Examples - virtual memory with
paging multiplexes real memory and disk; a virtual address
emulates a real address.
Cloud Computing: Theory and Practice.
Chapter 5 5 Dan C. Marinescu
Layering
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system.
Simplifies the description of the subsystems; each subsystem is
abstracted through its interfaces with the other subsystems.
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Hardware.
Software.
Operating system.
Libraries.
Applications.
.
Chapter 5 – Cloud Resource Virtua.docx
Chapter 5 – Cloud Resource
Virtualization
Contents
Virtualization.
Layering and virtualization.
Virtual machine monitor.
Virtual machine.
Performance and security isolation.
Architectural support for virtualization.
x86 support for virtualization.
Full and paravirtualization.
Xen 1.0 and Xen 2.0.
Performance comparison of virtual machine monitors.
The darker side of virtualization.
Software fault isolation.
Cloud Computing: Theory and Practice. Chapter 5 2 Dan C. Marinescu
Motivation
There are many physical realizations of the fundamental
abstractions necessary to describe the operation of a computing
systems.
Interpreters.
Memory.
Communications links.
Virtualization is a basic tenet of cloud computing, it simplifies the
management of physical resources for the three abstractions.
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monitor (VMM) can de saved and migrated to another server to
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Cloud Computing: Theory and Practice.
Chapter 5 3 Dan C. Marinescu
Motivation (cont’d)
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Cloud Computing: Theory and Practice.
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Virtualization
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Aggregation: creates one virtual object from multiple physical
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Multiplexing and emulation. Examples - virtual memory with
paging multiplexes real memory and disk; a virtual address
emulates a real address.
Cloud Computing: Theory and Practice.
Chapter 5 5 Dan C. Marinescu
Layering
Layering – a common approach to manage system complexity.
Minimizes the interactions among the subsystems of a complex
system.
Simplifies the description of the subsystems; each subsystem is
abstracted through its interfaces with the other subsystems.
We are able to design, implement, and modify the individual
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Layering in a computer system.
Hardware.
Software.
Operating system.
Libraries.
Applications.
.
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