Name
Abstract | ||
|---|---|---|
Meteorological dataset is usually big and has a clear field. Due to its text form, each read and display will take up more system resources. In addition, the loading speed of the webpage also affects the user's online experience. According to these problems, we proposed a cache replacement algorithm combined with indexing algorithm called index cache replacement algorithm. The main innovation of this paper is that the index is created while reading the document and the page data at the first time and analyse, sort, and cache the indexing data at the same time. When users browse the same page, we can directly index file to query and return the corresponding data. Thus, it enhances the effectiveness of cached data and cache query and improves the query file and byte hit rate which ?nally improve the performance of the network. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1504/IJSNET.2019.097556 | INTERNATIONAL JOURNAL OF SENSOR NETWORKS |
Keywords | Field | DocType |
meteorological data, documents, pages, cache replacement algorithms, indexes, queries | Hit rate,Byte,Web page,Computer science,Cache,sort,Search engine indexing,Algorithm,Indexed file,Cloud storage | Journal |
Volume | Issue | ISSN |
29 | 1 | 1748-1279 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| YuWei Zhao | 1 | 3 | 0.73 |
| Tinghuai Ma | 2 | 314 | 40.76 |
| Yu Hao | 3 | 2 | 0.72 |
| Wenhai Shen | 4 | 1 | 0.36 |
| Yuan Tian | 5 | 270 | 21.90 |
| Abdullah Al-Dhelaan | 6 | 523 | 39.77 |