Search results
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Cost-effective Hardware Accelerator Recommendation for Edge Computing
Xingyu Zhou, Robert Canady, Shunxing Bao, and Aniruddha Gokhale, Vanderbilt University Hardware accelerator devices have emerged as an alternative to traditional CPUs since they not only help perform computations faster but also consume much lessenergy th ...admin - November 29, 2021 - 7:30 am
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EdgeBalance: Model-Based Load Balancing for Network Edge Data Planes
this paper, we design and implement a model-based load balancer EdgeBalance for edge network data ...admin - November 29, 2021 - 7:30 am
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P4EC: Enabling Terabit Edge Computing in Enterprise 4G LTE
Max Hollingsworth, Jinsung Lee, Zhang Liu, Jihoon Lee, Sangtae Ha, and Dirk Grunwald, University of Colorado Boulder Traditional LTE networks route Internet traffic through a packet gateway. Enterprise LTE networks with a cloud-based core use a similarly ...admin - November 29, 2021 - 7:30 am
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SMARTER: Experiences with Cloud Native on the Edge
Alexandre Ferreira, Eric Van Hensbergen, Chris Adeniyi-Jones, Edmund Grimely-Evans, Josh Minor, Mark Nutter, Luis E. Peña, Kanak Agarwal, and Jon Hermes, Arm Research The decreasing cost and power consumption of intelligent, interconnected, and interactiv ...admin - November 29, 2021 - 7:30 am
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Synthesizing Plausible Infrastructure Configurations for Evaluating Edge Computing Systems
Wien This paper proposes a framework for synthesizing infrastructure configurations for evaluating edge ...admin - November 29, 2021 - 7:30 am
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Scale-out Edge Storage Systems with Embedded Storage Nodes to Get Better Availability and Cost-Efficiency At the Same Time
and offer a new design point for storage systems at the edge. In this paper we hypothesize that ... Media-Based Work Unit (MBWU) that we developed in an earlier paper as a reference point. Jianshen Liu, UC ...admin - November 29, 2021 - 7:30 am
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Securing RDMA for High-Performance Datacenter Storage Systems
security.This paper investigates security issues introduced to datacenter systems by switching to RDMA and ...admin - November 28, 2021 - 11:55 pm
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Towards Supporting Millions of Users in Modifiable Virtual Environments by Redesigning Minecraft-Like Games as Serverless Systems
Jesse Donkervliet, Animesh Trivedi, and Alexandru Iosup, VU Amsterdam How can Minecraft-like games become scalable cloud services? Hundreds of Minecraft-like games, that is, games acting as modifiable virtual environments (MVEs), are currently played by o ...admin - November 28, 2021 - 11:55 pm
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Serverless Boom or Bust? An Analysis of Economic Incentives
Xiayue Charles Lin, Joseph E. Gonzalez, and Joseph M. Hellerstein, UC Berkeley Serverless computing is a new paradigm that promises to free cloud users from the burden of having to provision and manage resources. However, the degree to which serverless co ...admin - November 28, 2021 - 11:55 pm
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AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management
Josep L. Berral, Barcelona Supercomputing Center, Universitat Politecnica de Catalunya; Chen Wang and Alaa Youssef, IBM Research The more we know about the resource usage patterns of workloads, the better we can allocate resources. Here we present a metho ...admin - November 29, 2021 - 12:57 am
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More IOPS for Less: Exploiting Burstable Storage in Public Clouds
Hojin Park, Gregory R. Ganger, and George Amvrosiadis, Carnegie Mellon University Burstable storage is a public cloud feature that enhances cloud storage volumes with credits that can be used to boost performance temporarily. These credits can be exchange ...admin - November 29, 2021 - 12:57 am
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Stratus: Clouds with Microarchitectural Resource Management
microarchitectural resources across different performance and security boundaries. In this paper, we introduce ...admin - November 29, 2021 - 12:57 am
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Disaggregation and the Application
This paper examines disaggregated data center architectures from the perspective of the applications ...admin - November 29, 2021 - 12:57 am
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A Cloud-native Architecture for Replicated Data Services
high-availability of the service itself. In this paper, we explore types of replicated data services and how they ...admin - November 29, 2021 - 12:57 am
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Model-Switching: Dealing with Fluctuating Workloads in Machine-Learning-as-a-Service Systems
this paper, we introduce Model-Switching, a new approach to dealing with fluctuating workloads when ...admin - November 29, 2021 - 12:57 am
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Towards GPU Utilization Prediction for Cloud Deep Learning
service availability. In this paper, we propose a prediction engine to proactively determine the GPU ...admin - November 29, 2021 - 12:57 am
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When is the Cache Warm? Manufacturing a Rule of Thumb
Lei Zhang, Emory University; Juncheng Yang, Carnegie Mellon University; Anna Blasiak, Akamai Inc and Indigo Ag; Mike McCall, Akamai Inc and Facebook Inc; Ymir Vigfusson, Emory University The plethora of parameters and nuanced configuration options that go ...admin - November 29, 2021 - 12:57 am
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Resource Efficient Stream Processing Platform with Latency-Aware Scheduling Algorithms
Yuta Morisawa, Masaki Suzuki, and Takeshi Kitahara, KDDI Research, Inc. We presented a novel platform dedicated to stream processing that improved resource efficiency by sharing resources among applications. The platform utilized latency-aware schedulers ...admin - November 29, 2021 - 12:57 am
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No Reservations: A First Look at Amazon's Reserved Instance Marketplace
availability zones and 22 regions in Amazon's Elastic Compute Cloud (EC2). This paper provides a first ...admin - November 29, 2021 - 12:57 am
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Multitenancy for Fast and Programmable Networks in the Cloud
words, we need to provide multitenancy on these devices. In this position paper, we design compile and ...admin - November 29, 2021 - 1:59 am
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On the Impact of Isolation Costs on Locality-aware Cloud Scheduling
Ankit Bhardwaj, Meghana Gupta, and Ryan Stutsman, University of Utah Serverless applications create an opportunity for more granular scheduling across machines in cloud platforms that can improve efficiency, especially if functions can be run within stora ...admin - November 29, 2021 - 1:59 am
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Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources
ML systems must be designed from the ground up for transient cloud resources. This paper describes ...admin - November 29, 2021 - 1:59 am
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Rethinking Isolation Mechanisms for Datacenter Multitenancy
Varun Gandhi and James Mickens, Harvard University In theory, trusted execution environments like SGX are promising approaches for isolating datacenter tenants. In practice, the associated hardware primitives suffer from three major problems: side channel ...admin - November 29, 2021 - 1:59 am
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JACKPOT: Online Experimentation of Cloud Microservices
further increase developers’ agility. In this paper, we propose a novel formulation for online ...admin - November 29, 2021 - 1:59 am
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Towards Plan-aware Resource Allocation in Serverless Query Processing
missing significant resource optimization opportunities. In this paper, we proposed a plan-aware resource ...admin - November 29, 2021 - 1:59 am