{"id":382118,"date":"2017-05-18T08:38:07","date_gmt":"2017-05-18T15:38:07","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=382118"},"modified":"2018-11-05T09:39:32","modified_gmt":"2018-11-05T17:39:32","slug":"project-pelican","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-pelican\/","title":{"rendered":"Project Pelican"},"content":{"rendered":"

Pelican: A building block for exascale cold data storage<\/h2>\n

Pelican aims to store infrequently accessed (cold) data as inexpensively as possible.<\/p>\n

The amount of data stored is growing at a huge rate, but not all of it is \u201chot,\u201d i.e. frequently accessed.\u00a0 There is little reason to store cold data in the same high-performance, high-cost systems as hot data. Our goal was to design a storage system\u2014called Pelican\u2014specifically to take advantage of the needs of cold data workload.<\/p>\n

Resource constraints for storing large amounts of data:<\/h3>\n