Zoolander
Aniket Chakrabarti, Christopher Stewart, Daiyi Yang, Rean Griffith · 2012
NoSQL stores expose narrow APIs for data access, e.g., get(key) or put(key, val). While these APIs often give up strong consistency and transactions, they can scale throughput under intense workloads. Widely used stores, e.g., Apache Zookeeper, Cassandra, and Memcached, have been shown to achieve 1010 accesses per day in the face of workload shifts, software faults, and performance bugs. However providing low latency for every access remains challenging. Latency, unlike throughput, quickly yields diminishing returns under scale out approaches, making it important to choose the most efficient approach. Further, DNS timeouts, GC, and other rare system events can hold resources from time to time [3]. These events hardly impact throughput, but they can increase latency for some accesses a lot.