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	The VLDB Journal: The International Journal on Very Large Data Bases Springer-Verlag         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-10 of 24 reviews Date Reviewed     Scaling distributed transaction processing and recovery based on dependency logging Yao C., Zhang M., Lin Q., Ooi B., Xu J. The VLDB Journal: The International Journal on Very Large Data Bases 27(3): 347-368, 2018.  Type: Article Since the beginning of the Computer Age, databases have stored data and applications have used that data. The use of the same data at the same time by different applications is called concurrency, and it may cause problems. Different m... Aug 31 2018   Efficient discovery of longest-lasting correlation in sequence databases Li Y., U L., Yiu M., Gong Z. The VLDB Journal: The International Journal on Very Large Data Bases 25(6): 767-790, 2016.  Type: Article Large quantities of data are stored every day in databases, but sooner or later these data must be extracted according to different criteria: these extractions constitute data sequences. One of the most important problems when extracti... Mar 22 2017   Diverse and proportional size-l object summaries using pairwise relevance Fakas G., Cai Z., Mamoulis N. The VLDB Journal: The International Journal on Very Large Data Bases 25(6): 791-816, 2016.  Type: Article When we search the web, we usually enter one or more keywords; in (almost) no time, we receive back a list of websites that bear some relation to those keywords. Behind the scenes, a search engine builds a set of links to web sites arr... Mar 21 2017   Exemplar queries: a new way of searching Mottin D., Lissandrini M., Velegrakis Y., Palpanas T. The VLDB Journal: The International Journal on Very Large Data Bases 25(6): 741-765, 2016.  Type: Article Technological facilities for storing tremendous amounts of information pose challenging problems with respect to their effective utilization. Vast amounts of data need to be searched for matching patterns, or for some collections of ke... Jan 26 2017   Flash as cache extension for online transactional workloads Kang W., Lee S., Moon B. The VLDB Journal: The International Journal on Very Large Data Bases 25(5): 673-694, 2016.  Type: Article Very large databases always need fast and reliable operations. Existing SQL engine and object-relational mapping (ORM) implementations take advantage of efficient in-memory caching mechanisms, which can really make the difference in te... Dec 20 2016   epiC: an extensible and scalable system for processing big data Jiang D., Wu S., Chen G., Ooi B., Tan K., Xu J. The VLDB Journal: The International Journal on Very Large Data Bases 25(1): 3-26, 2016.  Type: Article Addressing the problem of performance while processing big data, the authors propose a new programming model, named epiC, that deals with the problem of data variety, for example when data arrives at the evaluation engine as a mix of s... Sep 27 2016   ClouDiA: a deployment advisor for public clouds Zou T., La Bras R., Vaz Salles M., Demers A., Gehrke J. The VLDB Journal: The International Journal on Very Large Data Bases 24(5): 633-653, 2015.  Type: Article These days, heavy-duty computing is being performed less on local systems, and more with resources physically concentrated in remote data centers, which can handle these tasks much more efficiently. These arrangements are generally kno... Apr 11 2016   RDF in the clouds: a survey Kaoudi Z., Manolescu I. The VLDB Journal: The International Journal on Very Large Data Bases 24(1): 67-91, 2015.  Type: Article With the ongoing explosion of cloud computing, graph knowledge bases, and the requisite resource description framework (RDF) data encoding, it’s only apt to ask about the typologies of these knowledge bases. The main thrust h... Apr 8 2016   Profiling relational data: a survey Abedjan Z., Golab L., Naumann F. The VLDB Journal: The International Journal on Very Large Data Bases 24(4): 557-581, 2015.  Type: Article The question of processing metadata for a dataset is covered in this survey paper. Much of the analysis is about the automation that is needed to discover the appropriate metadata and the complexities in such discovery.... Mar 31 2016   Graph similarity search on large uncertain graph databases Yuan Y., Wang G., Chen L., Wang H. The VLDB Journal: The International Journal on Very Large Data Bases 24(2): 271-296, 2015.  Type: Article Have you ever, as a developer, come across problems and algorithms involving searching for patterns in a graph database? Are you interested in network science, for example, social network analysis, planning and designing optimal teleco... Mar 22 2016       Display 510152550100 per column
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