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With the desktop portable, improving desktop management<br />

and reducing instances and length of end-user productivity<br />

disruptions are possible. For example, if the host device is lost<br />

or stolen, the portable desktop (provided a back-up exists) is<br />

replicated on a replacement host device in less time than<br />

provisioning a replacement physical PC. Similarly, if the<br />

operating system or application software becomes corrupted,<br />

a ‘golden image’ of the corrupted software facilitates rapid<br />

recovery.<br />

While there are important portability differences across<br />

alternative personal computing models (e.g., range of<br />

compatible host devices), which will be discussed later, the<br />

portable desktop’s location is equally important. By location,<br />

meaning two locational dimensions: within the host device,<br />

and proximity to the end user. The first, within the host<br />

device, refers to whether the portable desktop operates<br />

directly on top of the host device’s hardware (native; no<br />

hypervisor) or on top of a hypervisor. Additionally, there are<br />

two types of hypervisors: Type I hypervisor (also referred to as<br />

bare metal), which runs directly on the host device’s<br />

hardware, and Type II hypervisor, which runs on top of the<br />

host device’s operating system. Exhibit 1 below illustrates the<br />

locational differences in relation to the host device’s<br />

hardware layer.<br />

Exhibit 1: Portable Desktop Locational Differences within the Host Device<br />

Portable<br />

desktop<br />

Host Image<br />

Host O/S<br />

Portable<br />

desktop<br />

Hypervisor<br />

Host Image<br />

Host O/S<br />

Portable<br />

desktop<br />

Hypervisor<br />

Hardware<br />

Hardware<br />

Hardware<br />

Source: Frost and Sullivan<br />

The ‘within the host device’ implications are:<br />

• Performance Degradation: Two performance implications<br />

associated with hypervisor-based models are the<br />

virtualization and contention caused by multiple active<br />

desktops vying for the host device’s hardware resources. In<br />

practice, the magnitude and variation in performance<br />

degradation are partially controllable through technology and<br />

architecture (e.g., optimizing hypervisor operation, and the<br />

interplay with the host device’s hardware), and by good<br />

desktop management practices in sizing and configuring the<br />

host device’s hardware infrastructure based on realistic<br />

workload requirements; and then actively monitoring and<br />

managing this shared infrastructure.<br />

• Security Risk: The host device’s operating system and<br />

hypervisor operating below the portable desktop represent<br />

reams of security risk. As software, the operating system and<br />

the hypervisor are vulnerable to hacker exploits. Additionally,<br />

each is potentially outside the direct and continuous control<br />

of the issuing agent of the portable desktop (i.e., the IT<br />

organization); for example, in a BYOD (user-owned device)<br />

circumstance or in a subscribed service instance, such as<br />

desktop as a service (third-party environment). Also, similar<br />

to other forms of software, the likelihood and severity of a<br />

security incident or incidents is unpredictable and changeable<br />

over time. Nevertheless, security risk exists and should be<br />

evaluated relative to the sensitivity and criticality of the work<br />

performed through the portable desktop.<br />

As in real estate, location also matters in the portable desktop.<br />

Distance between the end user and the location of the hosted<br />

portable desktop can negatively impact the end-user<br />

experience. Similar to performance-affecting contention of<br />

the shared computing resources in ‘within the host device,’<br />

traffic congestion on shared communication networks can<br />

also be performance impacting. Technology and management<br />

proficiency assist in curbing performance fluctuations and in<br />

reducing instances of unacceptability across the network<br />

connections between end users and portable desktops.<br />

pg | # 04

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