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Organizations enhance the velocity of simple operations that read and write a small amount of data from big data by extending a SQL system with a key-value store (KVS). The resulting system is suitable for workloads that issue simple operations and exhibit a high read to write ratio, e.g., interactive social networking actions. A popular distributed in-memory KVS is memcached in use by organizations...
This paper quantifies the scalability of a document store named MongoDB and an extensible store named HBase for processing simple operations using a social networking benchmark named BG (www.bgbenchmark.org). We report on the vertical and the horizontal scalability of both data stores. We quantify speedup and scaleup characteristics of each data store's Social Action Rating (SoAR). SoAR is the highest...
Person-to-person cloud service providers such as Facebook use Host-side (HsC) and Application-side (AsC) caches to enhance performance. Using Facebook's Flashcache as the representative of HsC and IQ-Twemcached as the representative of AsC, this study quantifies their tradeoffs using both a read-heavy and a write-heavy workload. Obtained results show Flashcache provides significant benefit for I/O...
With a wide variety of big data applications, the past few years have witnessed an increasing number of data stores with novel design decisions that may sacrifice the correctness of an application's operations to enhance performance. This paper presents our work-in-progress on a framework that generates a validation component. The input to the framework is the characteristics of an application. Its...
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