Search results

  1. OneOS: IoT Platform based on POSIX and Actors

    Kumseok Jung, University of British Columbia; Julien Gascon-Samson, ÉTS Montréal; Karthik Pattabiraman, University of British Columbia Recent interest in Edge/Fog Computing has pushed IoT Platforms to support a broader range of general-purpose workloads. ...

    admin - December 1, 2021 - 4:30 pm

  2. DeCaf: Iterative Collaborative Processing over the Edge

    fashion on the edge devices without sending the raw private data to the central cloud. In this paper, we ...

    admin - December 1, 2021 - 4:30 pm

  3. Edge-based Transcoding for Adaptive Live Video Streaming

    Pradeep Dogga, UCLA; Sandip Chakraborty, IIT Kharagpur; Subrata Mitra, Adobe Research; Ravi Netravali, UCLA User-generated video content is imposing an increasing burden on live video service architectures such as Facebook Live. These services are respons ...

    admin - December 1, 2021 - 5:30 pm

  4. Shimmy: Shared Memory Channels for High Performance Inter-Container Communication

    development effort and deployability, but also introduces inefficiencies in communication. In this paper, we ...

    admin - December 1, 2021 - 5:30 pm

  5. Navigating the Visual Fog: Analyzing and Managing Visual Data from Edge to Cloud

    have a framework that works collaboratively between edge and cloud. In this paper, we propose an ...

    admin - December 1, 2021 - 5:30 pm

  6. Open Infrastructure for Edge: A Distributed Ledger Outlook

    or privacy. In this paper, we discuss the challenges related to creating such an open infrastructure, ... computing, and in this paper, we highlight the potential and shortcomings of distributed ledger technologies ...

    admin - December 1, 2021 - 5:30 pm

  7. Distributing Deep Neural Networks with Containerized Partitions at the Edge

    accuracy or by relying on cloud resources for assistance. In this paper, we propose a containerized ...

    admin - December 1, 2021 - 5:30 pm

  8. Devices-as-Services: Rethinking Scalable Service Architectures for the Internet of Things

    Fatih Bakir, Rich Wolski, and Chandra Krintz, Univ. of California, Santa Barbara; Gowri Sankar Ramachandran, Univ. of Southern California We investigate a new distributed services model and architecture for Internet of Things (IoT) applications. In partic ...

    admin - December 1, 2021 - 5:30 pm

  9. The Case for Determinism on the Edge

    developer effort per application to maintain stable quality of experience for the user. In this paper, we ...

    admin - December 1, 2021 - 5:30 pm

  10. Collaborative Learning on the Edges: A Case Study on Connected Vehicles

    Sidi Lu, Yongtao Yao, and Weisong Shi, Wayne State University The wide deployment of 4G/5G has enabled connected vehicles as a perfect edge computing platform for a plethora of new services which are impossible before, such as remote real-time diagnostics ...

    admin - December 1, 2021 - 5:30 pm

  11. Throwing MUD into the FOG: Defending IoT and Fog by expanding MUD to Fog network

    devices in the home, where there is no dedicated network administrator. In this paper, we describe the ...

    admin - December 1, 2021 - 5:30 pm

  12. HydraOne: An Indoor Experimental Research and Education Platform for CAVs

    problems. In this paper, we present HydraOne, an indoor experimental research and education platform for ...

    admin - December 1, 2021 - 5:30 pm

  13. Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources

    observations have motivated this paper’s study on the use of synthetic gradients for distributed training cross ...

    admin - December 1, 2021 - 6:30 pm

  14. Publish-Pay-Subscribe Protocol for Payment-driven Edge Computing

    this paper, we present an edge computing architecture by extending the publish-subscribe protocol with ...

    admin - December 1, 2021 - 6:30 pm

  15. Designing an Efficient Replicated Log Store with Consensus Protocol

    hard to keep the system efficient. This paper suggests a novel way to build a replicated log store on ...

    admin - December 1, 2021 - 8:30 pm

  16. Co-evolving Tracing and Fault Injection with Box of Pain

    Daniel Bittman, Ethan L. Miller, and Peter Alvaro, UC Santa Cruz Distributed systems are hard to reason about largely because of uncertainty about what may go wrong in a particular execution, and about whether the system will mitigate those faults. Tools ...

    admin - December 1, 2021 - 8:30 pm

  17. Happiness index: Right-sizing the cloud’s tenant-provider interface

    Vojislav Dukic and Ankit Singla, ETH Zurich Cloud providers and their tenants have a mutual interest in identifying optimal configurations in which to run tenant jobs, i.e., ones that achieve tenants' performance goals at minimum cost; or ones that m ...

    admin - December 1, 2021 - 8:30 pm

  18. A Black-Box Approach for Estimating Utilization of Polled IO Network Functions

    Harshit Gupta, Georgia Institute of Technology; Abhigyan Sharma, Alex Zelezniak, and Minsung Jang, AT&T Labs Research; Umakishore Ramachandran, Georgia Institute of Technology Cloud management tasks such as performance diagnosis, workload placement, a ...

    admin - December 1, 2021 - 8:30 pm

  19. DLion: Decentralized Distributed Deep Learning in Micro-Clouds

    to the unique characteristics and challenges in this environment. In this paper, we examine the key ...

    admin - December 1, 2021 - 8:30 pm

  20. The Case for Unifying Data Loading in Machine Learning Clusters

    Aarati Kakaraparthy, University of Wisconsin, Madison & Microsoft Gray Systems Lab, Madison; Abhay Venkatesh, University of Wisconsin, Madison; Amar Phanishayee, Microsoft Research, Redmond; Shivaram Venkataraman, University of Wisconsin, Madison Trai ...

    admin - December 1, 2021 - 8:30 pm

  21. Deep Enforcement: Policy-based Data Transformations for Data in the Cloud

    role- or attribute-based, continue to focus on access/deny enforcement. In this paper, we propose how to ...

    admin - December 1, 2021 - 9:30 pm

  22. Accelerating Deep Learning Inference via Freezing

    Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, and Aditya Akella, University of Wisconsin, Madison Over the last few years, Deep Neural Networks (DNNs) have become ubiquitous owing to their high accuracy on real-world tasks. However, this inc ...

    admin - December 1, 2021 - 9:30 pm

  23. Tackling Parallelization Challenges of Kernel Network Stack for Container Overlay Networks

    network performance degradation of containers. In this paper, we perform a comprehensive empirical ...

    admin - December 1, 2021 - 9:30 pm

  24. Agile Cold Starts for Scalable Serverless

    elements. This paper proposes a solution that pre-crafts such resources and then dynamically re-associates ...

    admin - December 1, 2021 - 9:30 pm

  25. Jumpgate: In-Network Processing as a Service for Data Analytics

    widely deployed. This paper presents a vision for providing in-network processing as a service to data ...

    admin - December 1, 2021 - 9:30 pm

Pages