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Updated Cloud Cache Benefits (markdown)

Chris Lu 2021-08-16 01:30:38 -07:00
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Cloud-Cache-Benefits.md

@ -68,15 +68,18 @@ However, how to make SeaweedFS work with data already on cloud?
* Users can also choose to never uncache, basically treating cloud copy as a backup.
* Big Data
* Problem
* Run MapReduce, Spark, and Flink jobs on mounted folders for faster computation.
* Run MapReduce, Spark, and Flink jobs on cloud data is slow due to metadata operations.
* Repeated data access increases unnecessary cost.
* May need to work with the cloud ecosystem.
* With SeaweedFS Cloud Cache
* Avoiding slow cloud storage metadata access.
* Large amount of data access will not increase cost.
* Access data only once.
* Write back data to work with cloud ecosystems.
* Cloud Storage Vendor Agnostic
* Problem
* Different datasets may need to be on different vendors, based on access pattern, latency, cost, etc.
* Transparently switch to from one vendor to another.
* Different datasets may need to be on different vendors, based on access pattern, latency, cost, etc.
* With SeaweedFS Cloud Cache
* Transparently switch to from one vendor to another.
* Move Off Cloud
* Problem
* Cloud storage is costly!