FFDL: A Flexible Multi-tenant Deep Learning Platform
Jayaram Kr Kallapalayam Radhakrishnan, Vinod Muthusamy, et al.
Middleware 2019
The Internet's growth, and the proliferation of online collaboration tools and platforms and the federated systems that support them, have enabled ad hoc processes in which people interact in a dynamic collective way. Such activities are characterized by their flexibility and data-driven nature, which makes them more difficult to analyze and support than traditionally rigid processes. Systems that handle dynamic collective work activities must address three main challenges: finding patterns in ad hoc execution behavior, handling concurrent users and concurrently executing tasks, and providing operational support. This special issue provides a snapshot of ongoing work in this area that addresses these challenges. © 2013 IEEE.
Jayaram Kr Kallapalayam Radhakrishnan, Vinod Muthusamy, et al.
Middleware 2019
Geetika T. Lakshmanan, Ying Li, et al.
IEEE Internet Computing
Geetika T. Lakshmanan, Davood Shamsi, et al.
KAIS
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ICDE 2011