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Resource provisioning in Science Clouds: Requirements and challenges

AuthorsLópez García, Álvaro ; Fernández-del-Castillo, Enol ; Orviz, Pablo ; Campos, Isabel ; Marco, Jesús
KeywordsCloud challenges
Science clouds
Scientific computing
Issue Date2017
PublisherJohn Wiley & Sons
CitationSoftware: Practice and Experience 48(3): 486-498 (2018)
AbstractCloud computing has permeated into the information technology industry in the last few years, and it is emerging nowadays in scientific environments. Science user communities are demanding a broad range of computing power to satisfy the needs of high-performance applications, such as local clusters, high-performance computing systems, and computing grids. Different workloads are needed from different computational models, and the cloud is already considered as a promising paradigm. The scheduling and allocation of resources is always a challenging matter in any form of computation and clouds are not an exception. Science applications have unique features that differentiate their workloads; hence, their requirements have to be taken into consideration to be fulfilled when building a Science Cloud. This paper will discuss what are the main scheduling and resource allocation challenges for any Infrastructure as a Service provider supporting scientific applications.
Publisher version (URL)https://doi.org/10.1002/spe.2544
Appears in Collections:(IFCA) Artículos
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