How different are the cloud workloads? characterizing large-scale private and public cloud workloads
With the rapid development of cloud systems, an increasing number of service workloads
are deployed in the private cloud and/or public cloud. Although large cloud providers such …
are deployed in the private cloud and/or public cloud. Although large cloud providers such …
Characterizing Cloud-to-user Latency as perceived by AWS and Azure Users spread over the Globe
With the growing adoption of cloud infrastructures to deliver a variety of IT services,
monitoring cloud network performance has become crucial. However, cloud providers only …
monitoring cloud network performance has become crucial. However, cloud providers only …
Zooming in on wide-area latencies to a global cloud provider
The network communications between the cloud and the client have become the weak link
for global cloud services that aim to provide low latency services to their clients. In this …
for global cloud services that aim to provide low latency services to their clients. In this …
Using parametric models to represent private cloud workloads
R Wolski, J Brevik - IEEE Transactions on Services Computing, 2013 - ieeexplore.ieee.org
Cloud computing has become a popular metaphor for dynamic and secure self-service
access to computational and storage capabilities. In this study, we analyze and model …
access to computational and storage capabilities. In this study, we analyze and model …
[图书][B] Cloud architecture patterns: using microsoft azure
B Wilder - 2012 - books.google.com
If your team is investigating ways to design applications for the cloud, this concise book
introduces 11 architecture patterns that can help you take advantage of cloud-platform …
introduces 11 architecture patterns that can help you take advantage of cloud-platform …
Towards Cloud Efficiency with Large-scale Workload Characterization
Cloud providers introduce features (eg, Spot VMs, Harvest VMs, and Burstable VMs) and
optimizations (eg, oversubscription, auto-scaling, power harvesting, and overclocking) to …
optimizations (eg, oversubscription, auto-scaling, power harvesting, and overclocking) to …
How does it function? characterizing long-term trends in production serverless workloads
This paper releases and analyzes two new Huawei cloud serverless traces. The traces span
a period of over 7 months with over 1.4 trillion function invocations combined. The first trace …
a period of over 7 months with over 1.4 trillion function invocations combined. The first trace …
Hydragen: A microservice benchmark generator
MRS Sedghpour, AO Duque, X Cai… - 2023 IEEE 16th …, 2023 - ieeexplore.ieee.org
Microservice-based architectures have become ubiq-uitous in large-scale software systems.
Experimental cloud re-searchers constantly propose enhanced resource management …
Experimental cloud re-searchers constantly propose enhanced resource management …
Characterization and analysis of cloud-to-user latency: The case of Azure and AWS
With the growing adoption of cloud infrastructures to deliver a variety of IT services,
monitoring cloud network performance has become crucial. However, cloud providers only …
monitoring cloud network performance has become crucial. However, cloud providers only …
Cloudfactory: An open toolkit to generate production-like workloads for cloud infrastructures
Cloud infrastructures are large-scale and complex platforms designed to host a wide
diversity of applications and workloads. Given these complexity and scale factors, simulators …
diversity of applications and workloads. Given these complexity and scale factors, simulators …