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◾ Time–Space Scheduling in the MapReduce Framework
| Content Provider | Scilit |
|---|---|
| Author | Tang, Zhuo Qi, Ling Jiang, Lingang Li, Kenli Li, Keqin |
| Copyright Year | 2015 |
| Description | Hadoop presents MapReduce as an analytics engine, and under the hood, it uses a distributed storage layer referred to as the Hadoop distributed file system (HDFS). As an open-source implementation of MapReduce, Hadoop is, so far, one of the most successful realizations of large-scale data-intensive cloud computing platforms. It has been realized that when and where to start the reduce tasks are the key problems to enhance MapReduce performance. Book Name: Big Data |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2013-0-27341-6&isbn=9780429174018&doi=10.1201/b18050-12&format=pdf |
| Ending Page | 175 |
| Page Count | 18 |
| Starting Page | 158 |
| DOI | 10.1201/b18050-12 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2015-02-23 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Big Data Computation Theory and Mathematics Implementation |
| Content Type | Text |
| Resource Type | Chapter |