Hybrid Meta Heuristics Optimization of Hadoop Parameters for Increased Performance Gains-Reference-Cited by-同舟云学术

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Hybrid Meta Heuristics Optimization of Hadoop Parameters for Increased Performance Gains

Published:2023-10-06 Issue: Volume: Page:
ISSN:
Container-title:2023 4th IEEE Global Conference for Advancement in Technology (GCAT)
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Author:

Yambem Nandita¹,Rekha B²,Nandakumar A N³

Affiliation:

1. Visvesvaraya Technogical University,Research Scholar,Bengaluru,India

2. SJB Institute of Technology (Affiliated to Visvesvaraya Technological University),Bengaluru,India

3. City Engineering College (Affiliated to Visvesvaraya Technogical University),Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10353069/10353233/10353504.pdf?arnumber=10353504

Reference21 articles.

1. BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications

2. Resource Provisioning Framework for MapReduce Jobs with Performance Goals

3. Improving mapreduce performance in heterogeneous environments;Zaharia

4. PRISM: Fine-Grained Resource-Aware Scheduling for MapReduce

5. Investigation of Data Locality in MapReduce

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