Extending Science Gateway Frameworks to Support Big Data Applications in the Cloud

• DOI: 10.1007/s10723-016-9369-8
• Publication Date: 2016-06-13T14:04:38Z
• Authors: Shashank Gugnani; Carlos Blanco; Tamas Kiss; Gabor Terstyanszky
• Keywords: Gateway (web page); Data Processing; Cyberinfrastructure

Cloud computing offers massive scalability and elasticity required by many scientific commercial applications. Combining the computational data handling capabilities of clouds with parallel processing also has potential to tackle Big Data problems efficiently. Science gateway frameworks workflow systems enable application developers implement complex applications make these available for end-users via simple graphical user interfaces. The integration such tools on cloud opens new opportunities developers. This paper investigates how science gateways can be extended capabilities. A generic approach based infrastructure aware workflows is suggested a proof concept implemented WS-PGRADE/gUSE framework its Hadoop solution MapReduce paradigm in cloud. provided analysis demonstrates that methods described integrate work well different infrastructures scenarios, used create massively Data.