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- W86604534 abstract "Modern cloud data storage services have powerful capabilities for data-sets that can be indexed by a single key -- key-value stores -- and for data-sets that are characterized by multiple attributes (such as Google's BigTable). These data stores have non-ideal overheads, however, when graph data needs to be maintained; overheads are incurred because related (by graph edges) keys are managed in physically different host machines. We propose a new distributed data-storage paradigm, the key-key-value store, which extends the key-value model and significantly reduces these overheads by storing related keys in the same place. We provide a high-level description of our proposed system for storing large-scale, highly interconnected graph data -- such as social networks -- as well as an analysis of our key-key-value system in relation to existing work. In this thesis, we show how our novel data organization paradigm will facilitate improved levels of QoS in large graph data stores.Furthermore, we have built a system with our key-key-value system design -- Ariadne -- that is de-centralized, scalable, lightweight, relational and transactional. Such a system is unique among current systems in that it provides all qualities at once. This system was put to the test in the cloud using a strenuous concurrent workload and compared against the state of the art MySQL Cluster database system. Results show great promise for scalability and more consistent performance across workload types in Ariadne than in MySQL." @default.
- W86604534 created "2016-06-24" @default.
- W86604534 creator A5045525111 @default.
- W86604534 date "2013-01-24" @default.
- W86604534 modified "2023-09-27" @default.
- W86604534 title "ARIADNE: A NOVEL HIGH AVAILABILITY CLOUD DATA STORE WITH TRANSACTIONAL GUARANTEES" @default.
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