Practical Computational Balance: Contending with Unplanned Data
In part one of our series on reaching computational balance, we described how computational complexity is increasing logarithmically. Unfortunately, data and storage follows an identical trend.
The challenge of balancing compute and data at scale remains constant. Because providers and consumers don’t have access to “the crystal ball of demand prediction”, the appropriate computational response to vast, unpredictable amounts of highly variable complex data becomes unintentionally unplanned.
We must address computational balance in a world barraged by vast and unplanned data.
Before starting any discussion of data balance, it is important to first remind ourselves of scale. Small …
Practical Computational Balance: Contending with Unplanned Data was written by James Cuff at The Next Platform.


The open source efforts will operate as Project Tortuga.
The new version will help users identify performance issues more quickly.
HPE, a mutual partner, played matchmaker.