|
|
Zeile 48: |
Zeile 48: |
| }} | | }} |
| {{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 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, 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 test which the reader
| |
− | may wish to initiate.
| |
| |Forschungsgruppe=Ökonomie und Technologie der eOrganisation | | |Forschungsgruppe=Ökonomie und Technologie der eOrganisation |
| }} | | }} |