Reduce Carbon Footprint
Energy efficient data centers need Extreme Search™
Extreme (Green) Search
Extreme Search is a game changer in sustainability for organizations requiring large collections of active data storage. With Moore’s Law no longer providing increased processing density to improve thermal limits, data movement has become the largest contributor to system power demands. Extreme Search uses a low power processor that computes at full bandwidth within the thermal constraints of storage.
PROCESSING IN STORAGE REQUIRES LESS DATA MOVEMENT
Massive data collections swamp currently available search engines and overcome traditional ETL and indexing methods. The data required for a task may be a tiny piece of a huge data set. The capability to find and move only that small amount of targeted data, without moving any other data files, makes analytics much faster. Faster is good. But markedly decreasing data movement is also efficient and sustainable.
Greenhouse Gas Calculator
Extreme Search storage compared to a simulated system with traditional SSD storage and CPU-based search.
A customer with a petabyte of active log storage requires the ability to search their data base in under 12-minutes on demand.
Extreme Search 1 petabyte system can provide this capability with less than 1 rack of servers.
CPU-based architecture designed by linear extrapolation of an existing smaller capacity system requires over 60 racks of servers for comparable performance. The theoretical obstacles including significant network challenges to scaling were ignored.
The AVoided Emissions and geneRation Tool (AVERT) U.S. national weighted average CO2 marginal emission rate converting reductions of kilowatt-hours into avoided units of carbon dioxide emissions was used.
ESTIMATED AVERT: 2.2 metric tons CO2 per year saved