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  1. ReproZip: Using Provenance to Support Computational Reproducibility

    Fernando Chirigati, Polytechnic Institute of NYU; Dennis Shasha, New York University; Juliana Freire, Polytechnic Institute of NYU We describe ReproZip, a tool that makes it easier for authors to publish reproducible results and for reviewers to validate ...

    michele - December 16, 2021 - 6:52 am

  2. Using Provenance for Repeatability

    Quan Pham, University of Chicago;  Tanu Malik and Ian Foster, University of Chicago and Argonne National Laboratory We present Provenance-To-Use (PTU), a tool that minimizes computation time during repeatability testing. Authors can use PTU to build a pac ...

    michele - December 16, 2021 - 6:52 am

  3. Supporting Undo and Redo in Scientific Data Analysis

    Osterweil,  University of Massachusetts, Amherst This paper presents a provenance-based technique to support ...

    michele - December 16, 2021 - 6:52 am

  4. Android Provenance: Diagnosing Device Disorders

    Nathaniel Husted, Indiana University; Sharjeel Qureshi, Dawood Tariq, and Ashish Gehani, SRI International Mobile devices are a ubiquitous part of our daily lives. Smartphones are being used in many areas where data privacy and integrity are a concern. On ...

    michele - December 16, 2021 - 6:52 am

  5. Provenance for Data Mining

    they were created. In this paper, we argue that the user needs access to the provenance of mining ...

    michele - December 16, 2021 - 7:52 am

  6. Provenance Analyzer: Exploring Provenance Semantics with Logic Rules

    Saumen Dey, Sean Riddle, and Bertram Ludäscher, University of California, Davis Abstract not available. Saumen Dey, University of California, Davis Sean Riddle, University of California, Davis Bertram Ludäscher, University of California, Davis BibTeX @inp ...

    michele - December 16, 2021 - 7:52 am

  7. Declaratively Processing Provenance Metadata

    Scott Moore, Harvard University; Ashish Gehani, SRI International Systems that gather fine-grained provenance metadata must process and store large amounts of information. Filtering this metadata as it is collected has a number of benefits, including reduci ...

    michele - December 16, 2021 - 7:52 am

  8. OPUS: A Lightweight System for Observational Provenance in User Space

    themselves to specific specialised platforms. In this paper we propose the design of a data provenance capture ...

    michele - December 16, 2021 - 7:52 am

  9. D-PROV: Extending the PROV Provenance Model with Workflow Structure

    California, Davis This paper presents an extension to the W3C PROV provenance model, aimed at representing ... or other formally encoded processes. In the paper, we motivate the need for such and extended model ...

    michele - December 16, 2021 - 7:52 am

  10. IPAPI: Designing an Improved Provenance API

    Lucian Carata, Ripduman Sohan, Andrew Rice, and Andy Hopper, University of Cambridge We investigate the main limitations imposed by existing provenance systems in the development of provenance aware applications. In the case of disclosed provenance APIs, ...

    michele - December 16, 2021 - 7:52 am

  11. HadoopProv: Towards Provenance as a First Class Citizen in MapReduce

    Sherif Akoush, Ripduman Sohan, and Andy Hopper, University of Cambridge We introduce HadoopProv, a modified version of Hadoopthat implements provenance capture and analysis in MapReduce jobs. It is designed to minimise provenancecapture overheads by (i) tr ...

    michele - December 16, 2021 - 7:52 am

  12. A Provenance Model for Key-value Systems

    Devdatta Kulkarni In this paper we present key-value provenance model (KVPM). In KVPM, provenance ...

    michele - December 16, 2021 - 7:52 am

  13. We Need to Talk About NICs

    Pravin Shinde, Antoine Kaufmann, Timothy Roscoe, and Stefan Kaestle, Systems Group, ETH Zurich Operating systems fail both to efficiently exploit, and to effectively manage, the considerable hardware resources of modern network interface controllers. We s ...

    michele - December 16, 2021 - 12:52 am

  14. The NIC Is the Hypervisor: Bare-Metal Guests in IaaS Clouds

    Jeffrey C. Mogul, Jayaram Mudigonda, Jose Renato Santos, and Yoshio Turner, HP Labs Cloud computing does not inherently require the use of virtual machines, and some cloud customers prefer or even require “bare metal” systems, where no hypervisor separate ...

    michele - December 16, 2021 - 12:52 am

  15. Virtualize Storage, Not Disks

    William Jannen, Chia-che Tsai, and Donald E. Porter, Stony Brook University When one uses virtual machines for application compatibility, such as running Windows programs on Linux, the user only wants the API components, yet must emulate a disk drive and ...

    michele - December 16, 2021 - 12:52 am

  16. Unified High-Performance I/O: One Stack to Rule Them All

    high-performance network stacks. In this paper we draw parallels to illustrate synergies between high-performance ...

    michele - December 16, 2021 - 12:52 am

  17. The Case for Onloading Continuous High-Datarate Perception to the Phone

    Seungyeop Han, University of Washington; Matthai Philipose, Microsoft Research Much has been said recently on off-loading computations from the phone. In particular, workloads such as speech and visual recognition that involve models based on “big data” a ...

    michele - December 16, 2021 - 12:52 am

  18. Making Every Bit Count in Wide-Area Analytics

    Ariel Rabkin, Matvey Arye, Siddhartha Sen, Vivek Pai, and Michael J. Freedman, Princeton University Many data sets, such as system logs, are generated from widely distributed locations. Current distributed systems often discard this data because they lack ...

    michele - December 16, 2021 - 12:52 am

  19. QuarkOS: Pushing the Operating Limits of Micro-Powered Sensors

    Pengyu Zhang, Deepak Ganesan, and Boyan Lu,  University of Massachusetts Amherst As sensors penetrate into deeply embedded settings such as implantables, wearables, and textiles, they present new challenges due to their tiny energy buffers and extremely l ...

    michele - December 16, 2021 - 12:52 am

  20. Failure Recovery: When the Cure Is Worse Than the Disease

    Zhenyu Guo, Sean McDirmid, Mao Yang, and Li Zhuang, Microsoft Research Asia;  Pu Zhang, Microsoft Research Asia and Peking University; Yingwei Luo, Peking University; Tom Bergan, Microsoft Research and University of Washington; Madan Musuvathi, Zheng Zhan ...

    michele - December 16, 2021 - 12:52 am

  21. Toward Common Patterns for Distributed, Concurrent, Fault-Tolerant Code

    Ryan Stutsman and John Ousterhout, Stanford University There are no widely accepted design patterns for writing distributed, concurrent, fault-tolerant code. Each programmer develops her own techniques for writing this type of complex software. The use of ...

    michele - December 16, 2021 - 12:52 am

  22. Escape Capsule: Explicit State Is Robust and Scalable

    Shriram Rajagopalan, IBM T. J. Watson Research Center and University of British Columbia;  Dan Williams and Hani Jamjoom,  IBM T. J. Watson Research Center;   Andrew Warfield,  University of British Columbia Software is modular, and so is run-time state. W ...

    michele - December 16, 2021 - 1:52 am

  23. Large-Scale Computation Not at the Cost of Expressiveness

    Sangjin Han and Sylvia Ratnasamy, University of California, Berkeley We present Celias, a new concurrent programming model for data-intensive scalable computing. Celias supports many virtues commonly found in existing distributed programming frameworks, s ...

    michele - December 16, 2021 - 1:52 am

  24. When Cycles Are Cheap, Some Tables Can Be Huge

     David G. Andersen,  Carnegie Mellon University The goal of this paper is to raise a new question: What ...

    michele - December 16, 2021 - 1:52 am

  25. Wanted: Systems Abstractions for SDN

    Sapan Bhatia, Andy Bavier, and Larry Peterson,  Princeton University This paper presents a case ...

    michele - December 16, 2021 - 1:52 am

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