Data-Intensive Workload Consolidation in Serverless (Lambda/FaaS) Platforms-Reference-Cited by-同舟云学术

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Data-Intensive Workload Consolidation in Serverless (Lambda/FaaS) Platforms

Published:2021-11-23 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 20th International Symposium on Network Computing and Applications (NCA)
language:
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Author:

HoseinyFarahabady M.Reza¹,Taheri Javid²,Zomaya Albert Y.¹,Tari Zahir³

Affiliation:

1. The University of Sydney, School of Computer Science, Center for Distributed and High Performance Computing, NSW,Australia

2. Karlstad University,Department of Mathematics and Computer Science,Sweden

3. RMIT University, School of Computing Technologies,Victoria,Australia

Funder

Australian Research Council

University of Sydney, NSW, Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9685017/9685042/09685244.pdf?arnumber=9685244

Reference33 articles.

1. BigDataBench: A big data benchmark suite from internet services

2. Benchmarking cloud serving systems with YCSB

3. Cassandra

4. Performance-driven task co-scheduling for MapReduce environments

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1. A survey on the scheduling mechanisms in serverless computing: a taxonomy, challenges, and trends;Cluster Computing;2024-02-18

2. FASE: fast deployment for dependent applications in serverless environments;The Journal of Supercomputing;2023-12-22

3. Performance Interference of Virtual Machines: A Survey;ACM Computing Surveys;2023-03-02

4. Scheduling Mechanisms in Serverless Computing;Serverless Computing: Principles and Paradigms;2023

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