Resource provisioning in Science Clouds: Requirements and challenges. (25th September 2017)

• Record Type: Journal Article
• Authors: López García, Álvaro; Fernández‐del‐Castillo, Enol; Orviz Fernández, Pablo; Campos Plasencia, Isabel; Marco de Lucas, Jesús
• Is Part Of: Software, practice & experience. Volume 48:Number 3(2018)
• Page Start: 486
• Page End: 498
• Publication Date: 2017-09-25
• Subjects: cloud challenges -- cloud computing -- Science Clouds -- scientific computing; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2544
• Languages: English
• ISSNs: 0038-0644

Abstract

Summary: Cloud 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.