Seite 82 - Cloud Services and Big Data

Examples for Cloud Deployment Models in a Business Environment
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Security flaws may allow intrusion and misuse of data
Performance issues caused by too many requests to the server, resulting in
slowdowns
Acceptance by the end consumers
Summing up it can be said, that cloud applications in the medical industry do have
their raison d’être, but currently need to obtain acceptance by the patients to take
full effect. On the one hand cloud services themselves are novelty to a lot of
businesses. On the other hand broad acceptance or willingness to use such
services for processing of sensitive information needs time for development.
However this development of acceptance is inversely proportional to the
development of new technologies. A strong focus must hereby be laid on topics like
data protection, data residency, encryption, as well as sovereignty of data.
Online banking followed a similar pattern a couple of years ago. As soon as it was
introduced in the late 1990ies, people surveyed the possibilities of this new
technology to do banking from home cautiously optimistic, because similarly to
medical data online banking involves sensitive (financial) information. It took years
to gain in relevance for a broad mass and still needs more years to develop further
acceptance (Leichsenring, 2012).
8.2
Microsoft Windows Azure
Microsoft Azure works in the same way as Amazon Web Services. Amazon was the
first in the market to discover that they needed their huge server capacities just
about six weeks per year, during holiday season, while the rest of the year the
capacity remained underutilized. Consequently Amazon decided to rent those
capacities to other users, which might needed additional computing power. This was
the basic idea of Infrastructure-As-A-Service: providing an operating system (Server
or Client) and capacity and charging on an on-demand or pay-per-traffic basis.
Microsoft jumped onto the bandwagon and began to build huge server farms and
datacenters. It works in a way that whenever a database on-premise is subject to