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  1. EdgeCons: Achieving Efficient Consensus in Edge Computing Networks

    Zijiang Hao, Shanhe Yi, and Qun Li, College of William and Mary Fast event ordering is critical for delay-sensitive edge computing applications that serve massive geographically distributed clients. Using a centralized cloud to determine the event order s ...

    admin - December 5, 2021 - 5:30 am

  2. DataFog: Towards a Holistic Data Management Platform for the IoT Age at the Network Edge

    Harshit Gupta, Zhuangdi Xu, and Umakishore Ramachandran, Georgia Institute of Technology The increasing adoption of the Internet of Things (IoT) paradigm in structuring services for “smart cities” has led to an explosion of data generated, ingested, proce ...

    admin - December 5, 2021 - 6:30 am

  3. eSGD: Communication Efficient Distributed Deep Learning on the Edge

    Zeyi Tao and Qun Li, College of William and Mary Training machine learning model on IoT device is a natural trend due to the growing computation power and the great ability to collect various data of modern IoT de- vice.In this work, we consider an edge b ...

    admin - December 5, 2021 - 6:30 am

  4. Are FPGAs Suitable for Edge Computing?

    computing. In this paper, we study the suitability of deploying FPGAs for edge computing from the ...

    admin - December 5, 2021 - 6:30 am

  5. pCAMP: Performance Comparison of Machine Learning Packages on the Edges

    to select an appropriate pair of software and hardware. In this paper, we make a performance ...

    admin - December 5, 2021 - 6:30 am

  6. Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging

    Yu Gan, Meghna Pancholi, Dailun Cheng, Siyuan Hu, Yuan He, and Christina Delimitrou, Cornell University Performance unpredictability in cloud services leads to poor user experience, degraded availability, and has revenue ramifications. Detecting performan ...

    admin - December 5, 2021 - 6:30 am

  7. From JVM to FPGA: Bridging Abstraction Hierarchy via Optimized Deep Pipelining

    resulting in considerably reduced system-wide speedup, or even slowdown. In this paper we propose a fully ...

    admin - December 5, 2021 - 6:30 am

  8. RecService: Distributed Real-Time Graph Processing at Twitter

    Ajeet Grewal, Jerry Jiang, Gary Lam, Tristan Jung, Lohith Vuddemarri, Quannan Li, and Aaditya Landge, Twitter; Jimmy Lin, University of Waterloo We present RecService, a distributed real-time graph processing engine that drives billions of recommendations ...

    admin - December 5, 2021 - 6:30 am

  9. A Case for Packing and Indexing in Cloud File Systems

    Saurabh Kadekodi, Carnegie Mellon University; Bin Fan and Adit Madan, Alluxio, Inc.; Garth A. Gibson, Carnegie Mellon University, Vector Institute; Gregory R. Ganger, Carnegie Mellon University Small (kilobyte-sized) objects are the bane of highly scalabl ...

    admin - December 5, 2021 - 7:30 am

  10. Steel: Simplified Development and Deployment of Edge-Cloud Applications

    Shadi A. Noghabi, University of Illinois at Urbana-Champaign; John Kolb, University of California, Berkeley; Peter Bodik and Eduardo Cuervo, Microsoft Research The rapid growth in both the number and variety of cloud services has led to the emergence of c ...

    admin - December 5, 2021 - 7:30 am

  11. To Relay or Not to Relay for Inter-Cloud Transfers?

    Fan Lai, Mosharaf Chowdhury, and Harsha Madhyastha, University of Michigan Efficient big data analytics over the wide-area network (WAN) is becoming increasingly more popular. Current geo-distributed analytics (GDA) systems employ WAN-aware optimizations ...

    admin - December 5, 2021 - 7:30 am

  12. Reinventing Video Streaming for Distributed Vision Analytics

    optimized video streaming protocols to provide better quality-of-experience to users. In this paper, we call ...

    admin - December 5, 2021 - 7:30 am

  13. NodeFinder: Scalable Search over Highly Dynamic Geo-distributed State

    complex query constraints that traverse decentralized data sources. In this paper, we address this problem ...

    admin - December 5, 2021 - 7:30 am

  14. Go Serverless: Securing Cloud via Serverless Design Patterns

    paper, we advocate for taking a serverless approach by proposing six serverless design patterns to build ...

    admin - December 5, 2021 - 7:30 am

  15. RECap: Run-Escape Capsule for On-demand Managed Service Delivery in the Cloud

    containers in the cloud. In this paper, we describe the motivation and the emerging opportunity for RECap in ...

    admin - December 5, 2021 - 7:30 am

  16. Making Cloud Easy: Design Considerations and First Components of a Distributed Operating System for Cloud

    Wolfgang John, Joacim Halen, Xuejun Cai, Chunyan Fu, Torgny Holmberg, Vladimir Katardjiev, Tomas Mecklin, and Mina Sedaghat, Pontus Sköldström, Daniel Turull, Vinay Yadhav, and James Kempf, Ericsson Research Cloud offerings have over the years been transf ...

    admin - December 5, 2021 - 7:30 am

  17. RaMP: A Lightweight RDMA Abstraction for Loosely Coupled Applications

    Babar Naveed Memon, Xiayue Charles Lin, Arshia Mufti, Arthur Scott Wesley, Tim Brecht, Kenneth Salem, Bernard Wong, and Benjamin Cassell, University of Waterloo RDMA can be used to implement a shared storage abstraction for distributed applications. We ar ...

    admin - December 5, 2021 - 7:30 am

  18. Say Goodbye to Virtualization for a Safer Cloud

    isolation. In this paper, we argue that the interface to the host can be lowered for any application by ...

    admin - December 5, 2021 - 7:30 am

  19. A Secure Cloud with Minimal Provider Trust

    Amin Mosayyebzadeh and Gerardo Ravago, Boston University; Apoorve Mohan, Northeastern University; Ali Raza and Sahil Tikale, Boston University; Nabil Schear, MIT Lincoln Laboratory; Trammell Hudson, Two Sigma; Jason Hennessey, Boston University and NetApp ...

    admin - December 5, 2021 - 8:30 am

  20. Rethinking Adaptability in Wide-Area Stream Processing Systems

    Albert Jonathan, Abhishek Chandra, and Jon Weissman, University of Minnesota Twin Cities Adaptability is an important property of stream processing systems since the systems need to maintain low latency and high throughput execution of long-running querie ...

    admin - December 5, 2021 - 8:30 am

  21. Packet-Level Analytics in Software without Compromises

    being processed. In this paper, we provide a first step towards a cloud-scale, packet-level monitoring ...

    admin - December 5, 2021 - 8:30 am

  22. A Side-channel Attack on HotSpot Heap Management

    an appropriate heap size. In this paper, we present a new active side-channel attack that exploits ...

    admin - December 5, 2021 - 8:30 am

  23. CacheCloud: Towards Speed-of-light Datacenter Communication

    this paper we argue that in this environment, a major performance bottleneck is DRAM latency, which has ...

    admin - December 5, 2021 - 8:30 am

  24. Enforcing Context-Aware BYOD Policies with In-Network Security

    Adam Morrison, Rice University; Lei Xue, The Hong Kong Polytechnic University; Ang Chen, Rice University; Xiapu Luo, The Hong Kong Polytechnic University Bring Your Own Device, or BYOD, has become the new norm for many enterprise networks; but it also rai ...

    admin - December 5, 2021 - 8:30 am

  25. Cloud-Native File Systems

    Remzi Arpaci-Dusseau and Andrea Arpaci-Dusseau, University of Wisconsin-Madison; Venkat Venkataramani, Rockset, Inc. We present the case for cloud-native system design, focused on the creation of CNFS, a local file system built specifically for the cloud ...

    admin - December 5, 2021 - 8:30 am

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