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Authors
Advisor(s)
Abstract(s)
In most of the current commercial Clouds, resources
are billed based on a time interval equal to one hour,
as is the case of virtual machine (VM) instances on Amazon
EC2. Such time interval is usually long, and yet the user has
to pay for the whole last hour, even if he/she has only used a
fraction of it, contradicting the pay-as-you-go model of Clouds.
In this paper, we analyse the advantages of adopting alternative
scheduling policies that exploit idle last time intervals,
in terms of service cost to Cloud users and operating costs
to Cloud providers. Using a real-life astronomy workflow
application, constrained by user-defined Deadline and Budget
quality of service (QoS) parameters, a set of online state-ofthe-
art-based scheduling algorithms try different execution and
resource provisioning plans. Our results show that exploitation
of partially idle last time intervals can reduce the cost of service
to the end user, and augments providers competitiveness up to
21.6% through energy efficiency improvement and consequent
lowering of operational costs.
Description
Keywords
Cloud computing workflow scheduling service and operating cost analysis
Citation
Publisher
Institute of Electrical and Electronics Engineers