Debunking the myths about scale-up architectures
This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note it will likely favor the submitter’s approach.
When growing capacity and power in the data center, the architectural trade-offs between server scale-up vs. scale-out continue to be debated. Both approaches are valid: scale-out adds multiple, smaller servers running in a distributed computing model, while scale-up adds fewer, more powerful servers that are capable of running larger workloads.
Today, much of the buzz is around scale-out architectures, which have been made popular by companies like Facebook and Google, because this architecture is commonly viewed as more cost-effective and “infinitely” scalable.
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itecture (released 2008). The technology is ported to the more “Desktop” oriented CPU’s as well, so there is a good chance your notebook supports it as well. Since the Haswell architecture the nested virtualization works even better as Intel now supports VMCS Shadowing for nested VMs, which creates a data structure in memory per VM (and now supports nested VMs as well, which used to be a software effort).
