Submit solution!hide comments < Previous 1 2 3 4 5 Next > Satyaki Upadhyay: 2015-04-19 17:48:25 After the execution of the third query, the answer is 0. So, for the fourth query, the actual range is [0^0, 0^0] which is [0, 0] but doesn't lie in the range [1, n]...
Mariposa, Query Trading (QT) and Query Trading with Processing Task Trading (QTPT) are the query processing algorithms developed for autonomous distributed database systems. However, they incur high optimization cost due to involvement of all nodes in generating optimal plan. We present our solution...
We validate our solution through implementation and extensive experimentation. The results show that ASAP significantly outperforms baseline algorithms by returning final top- k result to users in much better times. 展开 DOI: 10.1007/978-3-642-40069-8_1 ...
Nowadays, cloud data outsourcing provides users and companies with powerful capabilities to store and process their data in third-party data centers. However, the privacy of the outsourced data is not guaranteed by the cloud providers. One solution for protecting the user data against security attack...
The technique relies only on the availability of an efficient solution for the underlying (non-top-k) GIQ problem, which is often the case. Using this, asymptoticallyqueries. The performance measures of primary interest are thespace occupied by the data structure and the query time. It isalso...
By continuing the above steps, the cost of the guiding path gets closer to the optimal solution. The algorithm terminates when the cost of the guiding path is equal to the exact cost of the corresponding expanded route, which is the solution to RCOSR. The pseudo-code of ROSE is ...
In Proposed system has solution is very effective and efficient for multi- keyword ranked searching in a cloud environment. Variety of cloud services are delivered to consumer with the premise that is an efficient cloud search service is a chieve. They find most relevant data is highly desirable...
the benefits of distributed parallel execution. However, since device and/or main memory may not be able to host an entire, rather big, reference dataset, storing this dataset in a fast secondary device, like a solid state disk (SSD) is, in many practical cases, a feasible solution. ...
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java/kotlin high performance lightweight solution for jdbc query,support sharding table and database support master-replica - paramedick/easy-query