FEDARGOS-V1: A Monitoring Architecture for Federated Cloud Computing Infrastructures
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Resource management in cloud infrastructure is one of the key elements of quality of services
provided by the cloud service providers. Resource management has its taxonomy, which includes discovery
of resources, selection of resources, allocation of resources, pricing of resources, disaster management, and
monitoring of resources. Specifically, monitoring provides the means of knowing the status and availability
of the physical resources and services within the cloud infrastructure. This results in making ‘‘monitoring
of resources’’ one of the key aspects of the cloud resource management taxonomy. However, managing
the resources in a secure and scalable manner is not easy, particularly when considering a federated cloud
environment.Afederated cloud is used and shared by many multi-cloud tenants and at various cloud software
stack levels. As a result, there is a need to reconcile all the tenants’ diverse monitoring requirements. To cover
all aspects relating to the monitoring of resources in a federated cloud environment, we present the FEDerated
Architecture for Resource manaGement and mOnitoring in cloudS Version 1.0 (FEDARGOS-V1), a cloud
resource monitoring architecture for federated cloud infrastructures. The architecture focuses mainly on the
ability to access information while monitoring services for early identification of resource constraints within
short time intervals in federated cloud platforms. The monitoring architecture was deployed in a real-time
OpenStack-based FEDerated GENomic (FEDGEN) cloud testbed. We present experimental results in order
to evaluate our design and compare it both qualitatively and quantitatively to a number of existing Cloud
monitoring systems that are similar to ours. The architecture provided here can be deployed in private or
public federated cloud infrastructures for faster and more scalable resource monitoring.
Keywords
QA75 Electronic computers. Computer science