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Burihabwa, Dorian

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Burihabwa, Dorian
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Site web
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Ancien.ne collaborateur.trice
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https://libra.unine.ch/handle/123456789/1084
_
0000-0001-6001-9393

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  • Publication
    Accès libre
  • Publication
    Métadonnées seulement
    A Performance Evaluation of Erasure Coding Libraries for Cloud-Based Data Stores
    (: Springer, 2016-6-5)
    Burihabwa, Dorian 
    ;
    Felber, Pascal 
    ;
    Mercier, Hugues 
    ;
    Schiavoni, Valerio 
    Erasure codes have been widely used over the last decade to implement reliable data stores. They offer interesting trade-offs between efficiency, reliability, and storage overhead. Indeed, a distributed data store holding encoded data blocks can tolerate the failure of multiple nodes while requiring only a fraction of the space necessary for plain replication, albeit at an increased encoding and decoding cost. There exists nowadays a number of libraries implementing several variations of erasure codes, which notably differ in terms of complexity and implementation-specific optimizations. Seven years ago, Plank et al. [14] have conducted a comprehensive performance evaluation of open-source erasure coding libraries available at the time to compare their raw performance and measure the impact of different parameter configurations. In the present experimental study, we take a fresh perspective at the state of the art of erasure coding libraries. Not only do we cover a wider set of libraries running on modern hardware, but we also consider their efficiency when used in realistic settings for cloud-based storage, namely when deployed across several nodes in a data centre. Our measurements therefore account for the end-to-end costs of data accesses over several distributed nodes, including the encoding and decoding costs, and shed light on the performance one can expect from the various libraries when deployed in a real system. Our results reveal important differences in the efficiency of the different libraries, notably due to the type of coding algorithm and the use of hardware-specific optimizations.
  • Publication
    Accès libre
    On the Cost of Safe Storage for Public Clouds: an Experimental Evaluation
    (: IEEE, 2016-9-26)
    Burihabwa, Dorian 
    ;
    Pontes, Rogério
    ;
    Felber, Pascal 
    ;
    Maia, Francisco
    ;
    Mercier, Hugues 
    ;
    Oliveira, Rui
    ;
    Paulo, João
    ;
    Schiavoni, Valerio 
    Cloud-based storage services such as Dropbox, Google Drive and OneDrive are increasingly popular for storing enterprise data, and they have already become the de facto choice for cloud-based backup of hundreds of millions of regular users. Drawn by the wide range of services they provide, no upfront costs and 24/7 availability across all personal devices, customers are well-aware of the benefits that these solutions can bring. However, most users tend to forget-or worse ignore-some of the main drawbacks of such cloud-based services, namely in terms of privacy. Data entrusted to these providers can be leaked by hackers, disclosed upon request from a governmental agency's subpoena, or even accessed directly by the storage providers (e.g., for commercial benefits). While there exist solutions to prevent or alleviate these problems, they typically require direct intervention from the clients, like encrypting their data before storing it, and reduce the benefits provided such as easily sharing data between users. This practical experience report studies a wide range of security mechanisms that can be used atop standard cloud-based storage services. We present the details of our evaluation testbed and discuss the design choices that have driven its implementation. We evaluate several state-of-the-art techniques with varying security guarantees responding to user-assigned security and privacy criteria. Our results reveal the various trade-offs of the different techniques by means of representative workloads on top of industry-grade storage services.