iTuned is a tool that takes a SQL workload as input and recommends good settings for database configuration parameters such as buffer pool sizes, multi-programming level, and number of I/O daemons. iTuned also provides response-surface and sensitivity-...

Witnessing the richness of data in document content and many ad-hoc efforts for finding such data, we propose a Data-oriented Content Query System(DoCQS), which is oriented towards fine granularity data of all types by searching directly into document ...

We present DeepPeep (http://www.deeppeep.org), a new system for discovering, organizing and analyzing Web forms. DeepPeep allows users to explore the entry points to hidden-Web sites whose contents are out of reach for traditional search engines. ...

Many web queries seek information about named entities (such as products or people). Web search engines federate such entity-oriented queries to relevant structured databases; the results of those searches are then returned to the user along with web ...

We demonstrate a system that integrates a novel OLAP component with a keyword search engine, to support querying over sparse and ragged corpus data. The key contribution of our system is the integration of dynamically selected point sets such as search ...

A system for keyword search on data graphs is demonstrated on two challenging datasets: the large DBLP and Mondial (which is highly cyclic and has a complex schema). The system supports search, exploration and question answering. The demonstration shows ...

Near duplicate detection benefits many applications, e.g., on-line news selection over the Web by keyword search. The purpose of this demo is to show the design and implementation of MapDupReducer, a MapReduce based system capable of detecting near ...

With the widespread adoption of location tracking technologies like GPS, the domain of intelligent transportation services has seen growing interest in the last few years. Services in this domain make use of real-time location-based data from a variety ...

It has long been observed that database management systems focus on traditional business applications, and that few people use a database management system outside their workplace. Many have wondered what it will take to enable the use of data ...

Current relational databases require that a database schema exist prior to data entry and require manual optimization for best performance. We describe the query optimization techniques used by graphd, the schema-last, automatically indexed tuple-store ...

In recent years Social Networking has enjoyed a significant increase in popularity. The main reason behind this surge in popularity is the social experience associated with connecting content to people and also connecting people with other people. ...

The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-stream or an event log is filtered, aggregated, or mined for patterns. As ...

Nowadays, online shopping has become a daily activity. Web users purchase a variety of items ranging from books to electronics. The large supply of online products calls for sophisticated techniques to help users explore available items. We propose to ...

Queries asked on web search engines often target structured data, such as commercial products, movie showtimes, or airline schedules. However, surfacing relevant results from such data is a highly challenging problem, due to the unstructured language of ...

Cloud computing promises a number of advantages for the deployment of data-intensive applications. One important promise is reduced cost with a pay-as-you-go business model. Another promise is (virtually) unlimited throughput by adding servers if the ...

We propose and study a new ranking problem in versioned databases. Consider a database of versioned objects which have different valid instances along a history (e.g., documents in a web archive). Durable top-k search finds the set of objects that are ...

The emergence of social media as a crucial paradigm has posed new challenges to the research and industry communities, where media are designed to be disseminated through social interaction. Recent literature has noted the generality of multiple ...