Abstract | ||
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Variety in Big Data means we have a wide range of data types and sources: e.g. File systems and database systems co-exist for decades as two popular data-accessing interfaces. This work is to unify these two interfaces by presenting a Data Interface All-iN-A-place (DIANA). The first challenge lies in distinguishing structured and un-structured data and diverting them to different underlying platforms. It is demonstrated that a speedup of 5000 in indexing has been achieved at the expense of a slowdown of 100 in extracting attributes. A DIANA-based cloud storage system is constructed for versatile, long distance and large volume big data accessing operations to address \"Volume\" and \"Velocity\" in Big Data. It encapsulates a dynamic multi-stream/multi-path engine at the socket level, which conforms to Portable Operating System Interface (POSIX). |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/TrustCom.2014.86 | TrustCom |
Keywords | Field | DocType |
big data,service-oriented architecture,file systems,volume,database systems,variety,velocity,indexes,kernel | Kernel (linear algebra),Computer security,Computer science,Search engine indexing,Data type,Cloud storage system,POSIX,Big data,Operating system,Database,Service-oriented architecture,Speedup | Conference |
ISSN | Citations | PageRank |
2324-898X | 0 | 0.34 |
References | Authors | |
3 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Frank Zhigang Wang | 1 | 34 | 6.87 |
Theo Dimitrakos | 2 | 1 | 1.73 |
Na Helian | 3 | 60 | 15.31 |
Sining Wu | 4 | 39 | 7.14 |
Yuhui Deng | 5 | 331 | 39.56 |
Ling Li | 6 | 0 | 0.34 |
Rodric Yates | 7 | 0 | 0.34 |