Skip to Main content Skip to Navigation
Conference papers

Assured Cloud-Based Data Analysis with ClusterBFT

Abstract : The shift to cloud technologies is a paradigm change that offers considerable financial and administrative gains. However governmental and business institutions wanting to tap into these gains are concerned with security issues. The cloud presents new vulnerabilities and is dominated by new kinds of applications, which calls for new security solutions.Intuitively, Byzantine fault tolerant (BFT) replication has many benefits to enforce integrity and availability in clouds. Existing BFT systems, however, are not suited for typical “data-flow processing” cloud applications which analyze large amounts of data in a parallelizable manner: indeed, existing BFT solutions focus on replicating single monolithic servers, whilst data-flow applications consist in several different stages, each of which may give rise to multiple components at runtime to exploit cheap hardware parallelism; similarly, BFT replication hinges on comparison of redundant outputs generated, which in the case of data-flow processing can represent huge amounts of data. In fact, current limits of data processing directly depend on the amount of data that can be processed per time unit.In this paper we present ClusterBFT, a system that secures computations being run in the cloud by leveraging BFT replication coupled with fault isolation. In short, ClusterBFT leverages a combination of variable-degree clustering, approximated and offline output comparison, smart deployment, and separation of duty, to achieve a parameterized tradeoff between fault tolerance and overhead in practice. We demonstrate the low overhead achieved with ClusterBFT when securing data-flow computations expressed in Apache Pig, and Hadoop. Our solution allows assured computation with less than 10 percent latency overhead as shown by our evaluation.
Complete list of metadatas

Cited literature [29 references]  Display  Hide  Download

https://hal.inria.fr/hal-01480793
Contributor : Hal Ifip <>
Submitted on : Wednesday, March 1, 2017 - 5:33:28 PM
Last modification on : Thursday, March 2, 2017 - 10:18:42 AM
Document(s) archivé(s) le : Tuesday, May 30, 2017 - 6:16:58 PM

File

978-3-642-45065-5_5_Chapter.pd...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Julian Stephen, Patrick Eugster. Assured Cloud-Based Data Analysis with ClusterBFT. 14th International Middleware Conference (Middleware), Dec 2013, Beijing, China. pp.82-102, ⟨10.1007/978-3-642-45065-5_5⟩. ⟨hal-01480793⟩

Share

Metrics

Record views

115

Files downloads

177