Document - Integrated Cloud Broker System and Its Experimental Evaluation

2017

Contribution to book Closed Access

Integrated Cloud Broker System and Its Experimental Evaluation

Youn C. H., Chen M., Dazzi P.

Broker Cloud Cloudlet

In distributed computing environment, there are a large number of similar or equivalent resources provided by different service providers. These resources may provide the same functionality, but optimize different Quality of Service (QoS) metrics. These computing resources are managed and sold by many different service providers [1]. Service providers offer necessary information about their services such as the service capability, and the utility measuring methods and charging policies, which will be later referred to as the "resource policy" in this book. Each resource policy bears a tuple of two components, such as (capability, price). For capability, we model the resource capability as a set of QoS metrics which include the CPU type, the memory size, and the storage/hard disk size.

Source: Cloud Broker and Cloudlet for Workflow Scheduling, pp. 1–45, 2017

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BibTeX entry

@inbook{oai:it.cnr:prodotti:429999,
	title = {Integrated Cloud Broker System and Its Experimental Evaluation},
	author = {Youn C. H. and Chen M. and Dazzi P.},
	doi = {10.1007/978-981-10-5071-8_1},
	booktitle = {Cloud Broker and Cloudlet for Workflow Scheduling, pp. 1–45, 2017},
	year = {2017}
}