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Contribution Details

Type Conference or Workshop Paper
Scope Contributions to practice
Published in Proceedings Yes
Title MRbox: Simplifying Working with Remote Heterogeneous Analytics and Storage Services via Localised Views
Organization Unit
  • Contribution from another University/Organization than University of Zurich
Authors
  • Athina Kyriakou
  • Iraklis A. Klampanos
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Event Title EDBT/ICDT 2021 Joint Conference
Event Type workshop
Event Location Nicosia, Cyprus
Event Start Date March 23 - 2021
Event End Date March 26 - 2021
Abstract Text The management, analysis and sharing of big data usually involves interacting with multiple heterogeneous remote and local resources. Performing data-intensive operations in this environment is typically a non-automated and arduous task that often requires deep knowledge of the underlying technical details by non-experts. MapReduce box (MRbox) is an open-source experimental application that aims to lower the barrier of technical expertise needed to use powerful big data analytics tools and platforms. MRbox extends the Dropbox interaction paradigm, providing a unifying view of the data shared across multiple heterogeneous infrastructures, as if they were local. It also enables users to schedule and execute analytics on remote computational resources by just interacting with local files and folders. MRbox currently supports Hadoop and ownCloud/B2DROP services and MapReduce jobs can be scheduled and executed. We hope to further expand MRbox so that it unifies more types of resources, and to explore ways for users to interact with complex infrastructures more simply and intuitively.
Free access at Official URL
Official URL https://ceur-ws.org/Vol-2841/SIMPLIFY_10.pdf
Other Identification Number merlin-id:23363
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