Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters

By Marcos Dias de Assunção, Al Costanzo, Rajkumar Buyya. IEEE International Symposium on High-Performance Parallel Distributed Computing, 2009

389 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/352629d4394f630a321a80e6ef25a116d96513a5

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Citations in the corpus

A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing (2009, background): “They run their calculations in the cloud [16], extend clusters on demand with IaaS resources [10] and execute big workflows on a resource mix from traditional grids and clouds [22].”
Cloud auto-scaling with deadline and budget constraints (2010, background): “In [4], they considered extending computing capacity using cloud instances and compared the incurred cost of different policies.”
Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework (2013, background): “, 2009), potential applications (Liu and Orban, 2008) and costs and benefits (Assuncao et al., 2009), the decision making on the adoption of cloud computing has not been empirically examined.”
The Cloud Adoption Toolkit: supporting cloud adoption decisions in the enterprise (2010, background): “The cloud computing literature has so far examined the costs of using the cloud via individual case studies [4, 25, 26, 27], and researchers such as Walker [28, 29] have laid down some of the theoretical foundations for cost modeling.”
Auto-scaling to minimize cost and meet application deadlines in cloud workflows (2011, background): “[14] implement job scheduling strategies for a mixed local cluster and cloud environment.”
CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications (2010, methodology): “In addition an experimental brokerage policy for peak load sharing is implemented on CloudAnalyst.”
Elastic Site: Using Clouds to Elastically Extend Site Resources (2010, background): “Assuncao et al. [ 4 ] focus on scheduling strategies for individual jobs and the effect of those scheduling strategies on the overall cost of utilizing a cloud to provide compute resources in addition to existing site resources.”