Search Results - Computer system organisation Architectures Distributed architectures Cloud computing*

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    Who limits the resource efficiency of my datacenter: an analysis of Alibaba datacenter traces by Guo, Jing, Chang, Zihao, Wang, Sa, Ding, Haiyang, Feng, Yihui, Mao, Liang, Bao, Yungang

    ISBN: 9781450367783, 145036778X
    Published: New York, NY, USA ACM 24.06.2019
    “…Cloud platform provides great flexibility and cost-efficiency for end-users and cloud operators…”
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    Conference Proceeding
  3. 3

    DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning by Zhang, Chenxi, Peng, Xin, Sha, Chaofeng, Zhang, Ke, Fu, Zhenqing, Wu, Xiya, Lin, Qingwei, Zhang, Dongmei

    ISSN: 1558-1225
    Published: ACM 01.05.2022
    “…A microservice system in industry is usually a large-scale dis-tributed system consisting of dozens to thousands of services run-ning in different machines…”
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    Conference Proceeding
  4. 4

    SoftSKU: Optimizing Server Architectures for Microservice Diversity @Scale by Sriraman, Akshitha, Dhanotia, Abhishek, Wenisch, Thomas F.

    ISSN: 2575-713X
    Published: ACM 01.06.2019
    “… of scale, and curb qualification/test overheads. As such, there is an urgent need for strategies that enable limited server CPU architectures (a.k.a "SKUs…”
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    Conference Proceeding
  5. 5

    AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference by Li, Min, Li, Yu, Tian, Ye, Jiang, Li, Xu, Qiang

    Published: IEEE 05.12.2021
    “…This paper presents AppealNet, a novel edge/cloud collaborative architecture that runs deep learning (DL…”
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    Conference Proceeding
  6. 6

    Benchmarking microservice systems for software engineering research by Zhou, Xiang, Peng, Xin, Xie, Tao, Sun, Jun, Xu, Chenjie, Ji, Chao, Zhao, Wenyun

    ISBN: 145035663X, 9781450356633
    Published: New York, NY, USA ACM 27.05.2018
    “… Based on the results of the gap analysis, we then develop and release a medium-size benchmark system of microservice architecture…”
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    Conference Proceeding
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    Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing by Liu, Xiangguo, Luo, Yunpeng, Goeckner, Anthony, Chakraborty, Trishna, Jiao, Ruochen, Wang, Ningfei, Wang, Yixuan, Sato, Takami, Chen, Qi Alfred, Zhu, Qi

    Published: IEEE 09.07.2023
    “…The rapid advancement of edge and cloud computing platforms, vehicular ad-hoc networks, and machine learning techniques have brought both opportunities and challenges for next-generation connected…”
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    Conference Proceeding
  8. 8

    Invited: Caching in Automated Data Centric Vehicles for Edge Computing Scenarios by Sperling, Nora, Bendrick, Alex, Stohrmann, Dominik, Ernst, Rolf

    Published: IEEE 09.07.2023
    “… the deployment of advanced edge and cloud computing services. A main reason is the established publisher-centric distribution mechanism that over-utilizes network resources…”
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    Conference Proceeding
  9. 9

    EcoFaaS: Rethinking the Design of Serverless Environments for Energy Efficiency by Stojkovic, Jovan, Iliakopoulou, Nikoleta, Xu, Tianyin, Franke, Hubertus, Torrellas, Josep

    Published: IEEE 29.06.2024
    “…While serverless computing is increasingly popular, its energy and power consumption behavior is hardly explored…”
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    Conference Proceeding
  10. 10

    SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud by Stojkovic, Jovan, Misra, Pulkit A., Goiri, Inigo, Whitlock, Sam, Choukse, Esha, Das, Mayukh, Bansal, Chetan, Lee, Jason, Sun, Zoey, Qiu, Haoran, Zimmermann, Reed, Samal, Savyasachi, Warrier, Brijesh, Raniwala, Ashish, Bianchini, Ricardo

    Published: IEEE 29.06.2024
    “… Based on the characterization insights, we propose SmartOClock, the first distributed overclocking management platform specifically designed for cloud environments…”
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    Conference Proceeding
  11. 11

    Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching by Chen, Zhuangbin, Liu, Jinyang, Su, Yuxin, Zhang, Hongyu, Ling, Xiao, Lyu, Michael R.

    ISSN: 1558-1225
    Published: ACM 01.05.2022
    “…To ensure the performance of online service systems, their status is closely monitored with various software and system metrics…”
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    Conference Proceeding
  12. 12

    ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models by Choi, Yujeong, Kim, Jiin, Rhu, Minsoo

    Published: IEEE 29.06.2024
    “…With the increasing popularity of recommendation systems (RecSys), the demand for compute resources in data-centers has surged…”
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    Conference Proceeding
  13. 13

    DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning by Meng, Chunyang, Song, Shijie, Tong, Haogang, Pan, Maolin, Yu, Yang

    ISSN: 2643-1572
    Published: IEEE 11.09.2023
    “…Autoscaling functions provide the foundation for achieving elasticity in the modern cloud computing paradigm…”
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    Conference Proceeding
  14. 14

    Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning by Wang, Liang, Lu, Kai, Zhang, Nan, Qu, Xiaoyang, Wang, Jianzong, Wan, Jiguang, Li, Guokuan, Xiao, Jing

    Published: IEEE 09.07.2023
    “…This paper proposes Shoggoth, an efficient edge-cloud collaborative architecture, for boosting inference performance on real-time video of changing scenes…”
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    Conference Proceeding
  15. 15

    AARC: Automated Affinity-aware Resource Configuration for Serverless Workflows by Jin, Lingxiao, Cai, Zinuo, Chen, Zebin, Zhao, Hongyu, Ma, Ruhui

    Published: IEEE 22.06.2025
    “…Serverless computing is increasingly adopted for its ability to manage complex, event-driven workloads without the need for infrastructure provisioning…”
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    Conference Proceeding
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    LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies by Odema, Mohanad, Rashid, Nafiul, Demirel, Berken Utku, Faruque, Mohammad Abdullah Al

    Published: IEEE 05.12.2021
    “…Edge-Cloud hierarchical systems employing intelligence through Deep Neural Networks (DNNs…”
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    Conference Proceeding
  17. 17

    Energy Efficiency Through Architectural Tactics for Self-Adaptive Cloud Systems by Medeiros, Henrique

    ISSN: 2574-1934
    Published: IEEE 27.04.2025
    “…[CONTEXT] Cloud computing provides many benefits, such as virtualization, high availability, low cost of maintenance, and elasticity…”
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    Conference Proceeding
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    ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems by Huai, Shuo, Zhang, Lei, Liu, Di, Liu, Weichen, Subramaniam, Ravi

    Published: IEEE 05.12.2021
    “…Edge devices have been widely adopted to bring deep learning applications onto low power embedded systems, mitigating the privacy and latency issues of accessing cloud servers…”
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    Conference Proceeding
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    CoFI: Consistency-Guided Fault Injection for Cloud Systems by Chen, Haicheng, Dou, Wensheng, Wang, Dong, Qin, Feng

    ISSN: 2643-1572
    Published: ACM 01.09.2020
    “…Network partitions are inevitable in large-scale cloud systems. Despite developer's efforts in handling network partitions throughout designing, implementing and testing cloud systems, bugs caused by network partitions, i.e…”
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    Conference Proceeding
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    EXPRESS 2.0: An Intelligent Service Management Framework for AIoT Systems in the Edge by Xu, Jia, Liu, Xiao, Pan, Wuzhen, Li, Xuejun, Yao, Aiting, Yang, Yun

    ISSN: 2643-1572
    Published: IEEE 11.09.2023
    “… It is crucial to design scalable, efficient, and reliable software solutions for large-scale AIoT systems in edge computing environments…”
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    Conference Proceeding