dc.contributor.author |
Khan, Akif Ahmed |
|
dc.contributor.author |
Raman, Rajiv (Advisor) |
|
dc.contributor.author |
Bera, Debajyoti (Advisor) |
|
dc.contributor.author |
Sharma, Ojaswa (Advisor) |
|
dc.date.accessioned |
2015-12-03T09:50:01Z |
|
dc.date.available |
2015-12-03T09:50:01Z |
|
dc.date.issued |
2015-12-03T09:50:01Z |
|
dc.identifier.uri |
https://repository.iiitd.edu.in/jspui/handle/123456789/349 |
|
dc.description.abstract |
Range Tree is a geometrical data structure used to store data in d-dimensions. In order to store
larger amount of data in external memory, we need an I/O efficient algorithm. There are many
I/O efficient algorithms designed like buffer trees but we need to implement these algorithm
designs and evaluate its performance.According to our study, there is no implementation of 2-
dimensional I/O efficient range trees available. In this work, we have implemented range trees
using buffer technique in 1-dimension and 2-dimensions. Range Tree data structure is used to
answer range search queries in an I/O efficient manner.
We have evaluated I/O efficient Buff er Range Trees with different set of parameters like buffer
size, number of input elements and block size. We did our experiments and evaluation with a
randomly generated data set and geographical latitude-longitude data of Open Street Maps. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
External memory(or EM) |
en_US |
dc.subject |
Input/Output(or I/O) |
en_US |
dc.subject |
Range search trees |
en_US |
dc.subject |
Buffer technique |
en_US |
dc.subject |
Standard template library for extra Large data set(or STXXL) |
en_US |
dc.subject |
External memory algorithms |
en_US |
dc.subject |
I/O Algorithms |
en_US |
dc.subject |
Out-of-core computations |
en_US |
dc.title |
Implementation and evaluation of I/O efficient range trees |
en_US |
dc.type |
Thesis |
en_US |