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{{Publikation Details
 
{{Publikation Details
 +
|Abstract=Enterprise IT operators derive three
 +
main benefits from the adoption of cloud technology:
 +
1.
 +
Resource “arbitrage”
 +
2.
 +
Relatively small units for resource allocation
 +
3.
 +
Metered resources
 +
In the financial world arbitrage involves the simultaneous negotiation of the same
 +
instrument in different markets
 +
with the goal of pro
 +
fiting from price differences.
 +
In a cloud
 +
environment an IT operator has a choice of running workloads in different geographic
 +
locations or from services delivered by a variety of providers.
 +
In organizations using physical allocation,
 +
a new server represents a
 +
three
 +
-
 +
year
 +
commitment or longer, and therefore budgeting and procurement are c
 +
ommensurately
 +
heavy processes.
 +
Securing these services through an internal or external cloud provider
 +
is potentially orders of magnitude faster.
 +
Cloud
 +
resources are delivered through a service model where the service’s performance
 +
and cost are specified contractually thro
 +
ugh a service level agreement.
 +
This environment
 +
encourages a data driven approach to resource management, allowing for much agile IT
 +
p
 +
rocesses than those seen under more traditional budgeting models.
 +
Most cloud based applications today run in virtualized environments. A necessary
 +
condition for realizing the benefits is a capability for moving workloads across machines.
 +
These machines c
 +
an be part of a private cloud or in a public cloud, and with relocating
 +
workloads there is a need to move virtual machines within and across different clouds.
 +
This capability is described in an Open Data Center Alliance (ODCA) usage model
 +
document
 +
 +
.
 +
A tea
 +
m led by T
 +
-
 +
Systems Telekom Innovation Laboratories, the FZI research
 +
team from the University of Karlsruhe and supported by Intel Corporation carried out a
 +
proof of concept (PoC) project to implement the usages described in the document,
 +
described in this
 +
report.
 +
 +
In context of the ODCA VM Interoperability Usage Model mentioned, an initial selection
 +
was made of commonly found products in the corporate cloud environment, and a set of
 +
appropriate experiments defined to test
 +
them against the Usage Model.
 +
The results
 +
shown in this document demonstrate how closely these potential systems aligned to the
 +
Usage Model at the time of the PoC tests towards demonstrat
 +
ing Cloud technology
 +
maturity.
 +
Later iterations of testing may expand the scope of products as far
 +
as practical
 +
for a PoC test, an
 +
d as software versions evolve.
 +
Therefore the results shown represent a
 +
minimum
 +
suggested
 +
baseline for cloud expectations and current cloud technology state
 +
-
 +
of
 +
-
 +
the
 +
-
 +
art, which should significantly improve for every subsequent t
 +
est which the reader
 +
may wish to initiate.
 +
|Download=VM Interop PoC White Paper.pdf,
 
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation
 
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation
 
}}
 
}}

Version vom 9. Januar 2014, 11:40 Uhr


Open Datacenter Alliance: Implementing the Open Data Center Alliance Virtual Machine Interoperability Usage Model


Open Datacenter Alliance: Implementing the Open Data Center Alliance Virtual Machine Interoperability Usage Model



Published: 2013 Juni

Buchtitel: FORECAST 2013
Verlag: Open Datacenter Alliance

Nicht-referierte Veröffentlichung

BibTeX

Kurzfassung
Enterprise IT operators derive three main benefits from the adoption of cloud technology: 1. Resource “arbitrage” 2. Relatively small units for resource allocation 3. Metered resources In the financial world arbitrage involves the simultaneous negotiation of the same instrument in different markets with the goal of pro fiting from price differences. In a cloud environment an IT operator has a choice of running workloads in different geographic locations or from services delivered by a variety of providers. In organizations using physical allocation, a new server represents a three - year commitment or longer, and therefore budgeting and procurement are c ommensurately heavy processes. Securing these services through an internal or external cloud provider is potentially orders of magnitude faster. Cloud resources are delivered through a service model where the service’s performance and cost are specified contractually thro ugh a service level agreement. This environment encourages a data driven approach to resource management, allowing for much agile IT p rocesses than those seen under more traditional budgeting models. Most cloud based applications today run in virtualized environments. A necessary condition for realizing the benefits is a capability for moving workloads across machines. These machines c an be part of a private cloud or in a public cloud, and with relocating workloads there is a need to move virtual machines within and across different clouds. This capability is described in an Open Data Center Alliance (ODCA) usage model document

. A tea m led by T - Systems Telekom Innovation Laboratories, the FZI research team from the University of Karlsruhe and supported by Intel Corporation carried out a proof of concept (PoC) project to implement the usages described in the document, described in this report.

In context of the ODCA VM Interoperability Usage Model mentioned, an initial selection was made of commonly found products in the corporate cloud environment, and a set of appropriate experiments defined to test them against the Usage Model. The results shown in this document demonstrate how closely these potential systems aligned to the Usage Model at the time of the PoC tests towards demonstrat ing Cloud technology maturity. Later iterations of testing may expand the scope of products as far as practical for a PoC test, an d as software versions evolve. Therefore the results shown represent a minimum suggested baseline for cloud expectations and current cloud technology state - of - the - art, which should significantly improve for every subsequent t est which the reader may wish to initiate.

Download: Media:VM Interop PoC White Paper.pdf



Forschungsgruppe

Ökonomie und Technologie der eOrganisation


Forschungsgebiet