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| − | |Abstract=Enterprise IT operators derive three | + | |Abstract=Enterprise IT operators derive three main benefits from the adoption of cloud technology: |
| − | main benefits from the adoption of cloud technology: | ||
1. Resource “arbitrage” | 1. Resource “arbitrage” | ||
2. Relatively small units for resource allocation | 2. Relatively small units for resource allocation | ||
3. Metered resources | 3. Metered resources | ||
| − | + | In the financial world arbitrage involves the simultaneous negotiation of the same | |
| − | In the financial world arbitrage involves the simultaneous negotiation of the same instrument in different markets with the goal of profiting from price differences. | + | instrument in different markets |
| − | 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. | + | with the goal of profiting from price differences. |
| − | In organizations using physical allocation, a new server represents a three-year commitment or longer, and therefore budgeting and procurement are commensurately heavy processes. Securing these services through an internal or external cloud provider is potentially orders of magnitude faster. | + | In a cloud |
| − | Cloud resources are delivered through a service model where the service’s performance | + | 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 commensurately | ||
| + | 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 through a service level agreement. | and cost are specified contractually through a service level agreement. | ||
| − | This environment encourages a data driven approach to resource management, allowing for much agile IT | + | This environment |
| + | encourages a data driven approach to resource management, allowing for much agile IT | ||
processes than those seen under more traditional budgeting models. | processes than those seen under more traditional budgeting models. | ||
Most cloud based applications today run in virtualized environments. A necessary | Most cloud based applications today run in virtualized environments. A necessary | ||
| Zeile 66: | Zeile 78: | ||
workloads there is a need to move virtual machines within and across different clouds. | 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 | This capability is described in an Open Data Center Alliance (ODCA) usage model | ||
| − | document. A team led by T-Systems Telekom Innovation Laboratories, the FZI research | + | document. |
| + | |||
| + | A team led by T-Systems Telekom Innovation Laboratories, the FZI research | ||
team from the University of Karlsruhe and supported by Intel Corporation carried out a | 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, | proof of concept (PoC) project to implement the usages described in the document, | ||
| Zeile 82: | Zeile 96: | ||
Later iterations of testing may expand the scope of products as far | Later iterations of testing may expand the scope of products as far | ||
as practical | as practical | ||
| − | for a PoC test, | + | for a PoC test, and as software versions evolve. |
| − | |||
Therefore the results shown represent a | Therefore the results shown represent a | ||
minimum | minimum | ||
suggested | suggested | ||
baseline for cloud expectations and current cloud technology state-of-the-art, which should significantly improve for every subsequent test which the reader | baseline for cloud expectations and current cloud technology state-of-the-art, which should significantly improve for every subsequent test which the reader | ||
| − | may wish to initiate. | + | may wish to initiate. |
| + | |Download=VM Interop PoC White Paper.pdf, | ||
| + | |Projekt=T-Labs Cloud Enabling | ||
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation | |Forschungsgruppe=Ökonomie und Technologie der eOrganisation | ||
}} | }} | ||
Aktuelle Version vom 9. Januar 2014, 15:55 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 profiting 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 commensurately
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 through a service level agreement.
This environment
encourages a data driven approach to resource management, allowing for much agile IT
processes 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 can 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 team 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, and 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 test which the reader
may wish to initiate.
Download: Media:VM Interop PoC White Paper.pdf
Ökonomie und Technologie der eOrganisation