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Alibaba production cluster data v2018

Citation Author(s):
Kai
Huang
Submitted by:
kai huang
Last updated:
Thu, 06/20/2024 - 06:46
DOI:
10.21227/cj2t-9698
Data Format:
*.csv
License:
Creative Commons Attribution
131 Views
Categories:
Cloud Computing
Keywords:
task scheduling, cloud computing
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Abstract 

Alibaba Cluster Trace (cluster-trace-v2018) . The dataset comprises metadata and runtime information concern-ing 4K machines, 71K online services, and 4M batch jobs over an 8-day horizon. Compared with the cluster-trace-v2017 dataset, this dataset features a longer sampling period, a larger number of workloads, and more fine-grained directed acyclic graph (DAG) dependency information.

Instructions: 

Alibaba Cluster Trace (cluster-trace-v2018) . The dataset comprises metadata and runtime information concern-ing 4K machines, 71K online services, and 4M batch jobs over an 8-day horizon. Compared with the cluster-trace-v2017 dataset, this dataset features a longer sampling period, a larger number of workloads, and more fine-grained directed acyclic graph (DAG) dependency information.

Comments

Kindly help me with the data set for my thesis.

Submitted by EUGENE ARMAH on Wed, 07/10/2024 - 06:46

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