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NoSQL systems are more and more deployed as back-end infrastructure forlarge-scale distributed online platforms like Google, Amazon or Facebook. Theirapplicability results from the fact that most services of online platformsaccess the stored data objects via their primary key. However, NoSQL systems donot efficiently support services referring more than one data object, e.g. theterm-based search for data objects. To address this issue we propose ourarchitecture based on an inverted index on top of a NoSQL system. For queriescomprising more than one term, distributed indices yield a limited performancein large distributed systems. We propose two extensions to cope with thischallenge. Firstly, we store index entries not only for single term but alsofor a selected set of term combinations depending on their popularity derivedfrom a query history. Secondly, we additionally cache popular keys on gatewaynodes, which are a common concept in real-world systems, acting as interfacefor services when accessing data objects in the back end. Our results show thatwe can significantly reduces the bandwidth consumption for processing queries,with an acceptable, marginal increase in the load of the gateway nodes.

GutenTag: A Multi-Term Caching Optimized Tag Query Processor for Key-Value Based NoSQL Storage Systems