2. BigTable Dynamo Tokyo Ty ｒ ant kumofs okuyama What is okuyama? Distributed Key-Value Storage
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5. ・ You can choose the way of preservation to data node Main Data Node 1. Preserve all data to memory - Non-perpetuity type 2. Only preserve the data operation record to files - Perpetuity type 3. Preserve data themselves to files - Perpetuity type 2. Multiple data preservation form
6. ・ The scale out is possible without the system hung in both mastering nodes and the data nodes. ・ All the data shifts at the scale out etc. are done by the automatic operation. Main Data Node Slave Data Node Main Data Node Slave Data Node Main Data Node Slave Data Node Main Data Node Slave Data Node Main Data Node Slave Data Node Main Data Node Slave Data Node Add Node Data Shift Add 3. Performance gain by scale out
7. ・ Data Flow Main Master Node Main Data Node Slave Data Node Main Data Node Slave Data Node Main Data Node Slave Data Node Main Data Node Slave Data Node Client Slave Master Node ① Input Data 4. Composition where SPOF doesn't exist
9. ・ It is not only a relation of Key-Value! >You can add Tags set (Key=“okuyama”, Tag={“oss”, ”kvs”}, Value=“Ditributed KVS”); set (Key=“httpd”, Tag={“oss”, ”webserver”}, Value=“Typical WebSV”); getTagKeys(“oss”); >Result {“okuyama”, ”httpd”} You can get all keys, resistered in same tag Data can be grouped! 6.Unique function
