Analysis and characterization of a video-on-demand service workload
Author:
Affiliation:
1. Umeå University, Sweden
2. Lund University, Sweden
Funder
Swedish Government's strategic effort eSSENCE
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2713168.2713183
Reference48 articles.
1. Efficient provisioning of bursty scientific workloads on the cloud using adaptive elasticity control
2. How will Your Workload Look Like in 6 Years? Analyzing Wikimedia's Workload
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