Currency-Based Scheduling in DCOS

2 min read
Jun 03, 2016


In my previous post (“Software is Eating the Data Center”), I discussed the fact that a modern data center should function and appear to users as a large computer that runs various workloads.  The work Vapor is doing to integrate OpenDCRE into DC/OS to provide unified IT/OT management capabilities is exciting and groundbreaking.  But we haven’t stopped there.

As it turns out, data centers and workloads are not all the same.  The cost of running a workload in one facility or on a given set of hardware may be vastly different than running that same workload in another location, or on a different hardware configuration.  Likewise, the cost of running a workload on-premise, versus in the public cloud (such as AWS, Azure), may vary over time, and there is 0 clarity around calculating and forecasting an optimal environment for that workload.

As part of Vapor’s broader announcement of Mist, we’re excited to be bringing currency-based scheduling to DC/OS.  What this means is, for a given workload and set of resources, users can get accurate, real-time cost information related to running that workload on-premise and in the public cloud.


With Mist, performance characteristics for a workload may be rationalized against physical infrastructure costs – for example, operations/sec (transactions, requests served, reads/writes, etc.) against the hourly cost for the given resources.  Using these currency-based metrics, it is possible to define policies for workload placement that can be used to run that workload most cost-effectively.  In essence, users are finally able to get an “apples-to-apples” comparison from what has always been an “apples-to-oranges” issue of what it would cost to run a workload in a given location or on a given platform.

The work our team has been doing on integrating currency-based scheduling into DC/OS, while also unifying IT/OT management and infrastructure, has been exciting and fruitful. I believe that, with this work, we are helping to move towards a truly data-defined data center with reduced operational expense, efficiently-deployed workloads, fine-grained resource information and sharing, and a unified toolset for managing workload and infrastructure in the same place.  A giant leap forward over the state-of-the-art!

We’re looking forward to sharing more on our ongoing work with the great folks at Mesosphere to make DC/OS the ultimate data center tool.


Matt Trifiro


Matt Trifiro is the Chief Marketing Officer of Vapor IO where he leads the company’s global marketing, branding and communications efforts. Matt is an expert in edge computing,Co-chair of the State of…
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