2020Unpublished venueRequires access

CloudMeter: A Tool to Evaluate and Select the Desired VMs

Dian Jin, Yan Li, Donggang Cao, Bo An

Open publisher page 1 citations

Abstract

Nowadays, as more and more developers choose to deploy their work on the cloud, diverse workloads are being run in the cloud. Recognizing the diversity, cloud providers offer a rich selection of VMs with a large configuration space. The choice of cloud service can have a big impact on performance and cost. However, there are few guidelines given by the cloud providers. Choosing the right cloud service is difficult for users only with configuration information. Besides, there lacks a comparison between different cloud providers. To aid in the selection of VMs, we present CloudMeter, a tool to continuously run benchmarks on VMs of different cloud providers and grade each VM. With the grade, we recommend appropriate cloud service according to the requirement of cloud users. We also use CloudMeter to draw significant insights into cloud services among different cloud providers.

About this research paper

What this paper is about

Nowadays, as more and more developers choose to deploy their work on the cloud, diverse workloads are being run in the cloud. Recognizing the diversity, cloud providers offer a rich selection of VMs with a large configuration space. The choice of cloud service can have a big impact on performance and cost. However, there are few guidelines given by the cloud providers. Choosing the right cloud service is difficult for users only with configuration information. Besides, there lacks a comparison between different cloud providers. To aid in the selection of VMs, we present CloudMeter, a tool to continuously run benchmarks on VMs of different cloud providers and grade each VM. With the grade, we recommend appropriate cloud service according to the requirement of cloud users. We also use CloudMeter to draw significant insights into cloud services among different cloud providers.

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Available abstract

Nowadays, as more and more developers choose to deploy their work on the cloud, diverse workloads are being run in the cloud. Recognizing the diversity, cloud providers offer a rich selection of VMs with a large configuration space. The choice of cloud service can have a big impact on performance and cost. However, there are few guidelines given by the cloud providers. Choosing the right cloud service is difficult for users only with configuration information. Besides, there lacks a comparison between different cloud providers. To aid in the selection of VMs, we present CloudMeter, a tool to continuously run benchmarks on VMs of different cloud providers and grade each VM. With the grade, we recommend appropriate cloud service according to the requirement of cloud users. We also use CloudMeter to draw significant insights into cloud services among different cloud providers.

Key concepts: Cloud computing, Computer science, Cloud service provider, Service provider, Cloud testing, Selection (genetic algorithm), Cloud computing security, Service (business)

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