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The automation category encompasses I/OC (I/O Control) and VMW (VM Interoperability). The I/OC is a short document that references one of the big problems raised by increased virtual-machine density in a cloud environment: I/O contention. The I/OC weighs in on the side of work being done by NIST (National Institute of Standards and Technology) and the DMTF (Distributed Management Task Force) when it comes to I/O bottlenecks. To control for I/O bottlenecks, the I/OC publication focuses on monitoring, SLA metrics, APIs, timeslice controls and I/O reservations with the expectation these requirements could be met in multi-vendor environments using non-proprietary protocols.
Furthering the case for automation, the ODCA is using work done by the DMTF on the OVF (Open Virtualization Format) to press the case that a VM created on one hypervisor platform and/or running in a cloud provider data center should be able to move to another data center and/or to a different hypervisor platform. Now that the ODCA is also pushing OVF, it’s clear this is the interoperable VM format to implement. VMware and Citrix have been long-time proponents of OVF, and shops that are using either of these platforms are likely well along in understanding how to use OVF in transporting virtual machines between platforms.
Common management and policy is defined by the RF (Regulatory Framework) usage model. The model does a decent job of setting out a way for cloud providers to step up to the compliance plate while rightly insisting cloud consumers are ultimately accountable for risks.
The RF focuses on an ongoing corporate compliance program for cloud environments, which matches best practice guidelines that I’ve seen for private data centre operations. This means the practices that your organisation already follows aren’t that different when data and applications are moved to a shared, cloud environment. What changes is the cloud provider becomes the source of the risk assessment and management data. Thus, IT managers would do well to use the RF as a starting point for exploring the ability of an external cloud provider’s ability to satisfy reporting and control requirements.
The transparency category includes the SUoM (Standard Units of Measure), SC (Service Catalog) and CF (Carbon Footprint) usage models. The SUoM outlines definitions and measures that would make it easier for cloud consumers to compare apples to apples when it comes to paying for services.
The Service Catalog usage model is by far the most detailed of the publications and is the codification of the actual interaction between cloud providers and cloud consumers. The SC is all about what an API (application programming interface) will provide to large cloud consumers. “[A] GUI is of relatively low importance to our target Cloud-Subscriber, who may choose not to use it at all for service discovery and selection. Instead, Cloud-Subscribers need a robust and detailed API…to interrogate the Service Catalog.” With this gruff introduction, the SC usage model dives into 10 pages of what, roughly, would be entailed in this “robust and detailed API”.
The CF document describes how cloud providers can measure the carbon output for IT managers who want to make greener choices when selecting cloud services. On the minus side, the Carbon Footprint model is candid in pointing out that the SUoM’s don’t include the impact incurred when the data centre was first built. Nor is hardware decommissioning included when measuring carbon release. In this sense, the Carbon Footprint takes a “we-had-to-start-somewhere” approach.
Indeed, the ODCA had to start somewhere, and IT managers would do well to take a look at the documentation set as part of any plan to move to the cloud.
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