Search Results - Distributed Workloads

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  1. 1

    Efficient Orchestration of Distributed Workloads in Multi-Region Kubernetes Cluster by Furnadzhiev, Radoslav, Shopov, Mitko, Kakanakov, Nikolay

    ISSN: 2073-431X, 2073-431X
    Published: Basel MDPI AG 01.04.2025
    Published in Computers (Basel) (01.04.2025)
    “…Distributed Kubernetes clusters provide robust solutions for geo-redundancy and fault tolerance in modern cloud architectures…”
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    Journal Article
  2. 2

    Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds by Bi, Jing, Yuan, Haitao, Zhou, Mengchu

    ISSN: 1545-5955, 1558-3783
    Published: New York IEEE 01.10.2019
    “…With their fast development and deployment, a large number of cloud services provided by distributed cloud data centers have become the most important part of Internet services…”
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    Journal Article
  3. 3

    Transitioning GlideinWMS, a multi domain distributed workload manager, from GSI proxies to tokens and other granular credentials by Mambelli, Marco, Coimbra, Bruno, Box, Dennis

    ISSN: 2100-014X, 2101-6275, 2100-014X
    Published: Les Ulis EDP Sciences 01.01.2024
    Published in EPJ Web of conferences (01.01.2024)
    “…GlideinWMS is a distributed workload manager that has been used in production for many years to provision resources for experiments like…”
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    Journal Article Conference Proceeding
  4. 4

    Provision and use of GPU resources for distributed workloads via the Grid by Traynor, Daniel, Froy, Terry

    ISSN: 2100-014X, 2101-6275, 2100-014X
    Published: Les Ulis EDP Sciences 2020
    Published in EPJ Web of conferences (2020)
    “… GPUs are an important modern tool to assist in data analysis. They have historically been used to accelerate computationally expensive but parallelisable workloads using frameworks such as OpenCL and CUDA…”
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    Journal Article Conference Proceeding
  5. 5

    SplitStream: Distributed and workload-adaptive video analytics at the edge by Liang, Yu, Zhang, Sheng, Wu, Jie

    ISSN: 1084-8045, 1095-8592
    Published: Elsevier Ltd 01.05.2024
    “… Although existing systems aim at optimizing video query tasks from a variety of perspectives, they rarely consider the general cooperation between heterogeneous edge devices and the dynamic workload of video content…”
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    Journal Article
  6. 6

    Seamless data delivery for distributed AI workloads via dynamic queue scheduling and FPGA-based implementation in converged optical-electrical networks by Feng, Shi, Zhang, Jiawei, Dai, Jun, Liu, Yashe, Liu, Zhenhua, Ji, Yuefeng

    ISSN: 1943-0620, 1943-0639
    Published: Piscataway Optica Publishing Group 01.09.2025
    “… of Moore’s law and struggle to accommodate the specific traffic patterns of distributed deep learning (DDL…”
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    Journal Article
  7. 7

    Optimization‐based workload distribution in geographically distributed data centers: A survey by Ahmad, Iftikhar, Khalil, Muhammad Imran Khan, Shah, Syed Adeel Ali

    ISSN: 1074-5351, 1099-1131
    Published: Chichester Wiley Subscription Services, Inc 01.08.2020
    “…‐distributed data centers by employing optimal workload distribution and resource utilization in the real…”
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    Journal Article
  8. 8

    Optimizing Distributed Workloads With Infrastructure-Managed Communication and Deployment by Wu, Yongji

    ISBN: 9798302162250
    Published: ProQuest Dissertations & Theses 01.01.2024
    “…As the scale and complexity of distributed workloads grows, performance is no longer the sole objective sought by application developers and infrastructure operators, as they increasingly demand cost…”
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    Dissertation
  9. 9

    Elections and Reputation for High Dependability and Performance in Distributed Workload Execution by de Carvalho Costa, Rogerio Luis, Furtado, Pedro

    ISSN: 1045-9219, 1558-2183
    Published: New York IEEE 01.08.2015
    “… In this work, we present a reputation-based task scheduling strategy for distributed database systems, which efficiently schedules workloads composed…”
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    Journal Article
  10. 10

    Demo: Emulating Distributed Workloads with DistWalk by Andreoli, Remo, Burlon, Tommaso, Napolitano, Antonio, Cucinotta, Tommaso

    ISSN: 2694-0825
    Published: IEEE 23.09.2025
    “…This demo showcases DistWalk, an open-source distributed workload emulator designed to study the end-to-end latency implications of Linux-based systems…”
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    Conference Proceeding
  11. 11

    Energy-efficient Workload Allocation and Computation Resource Configuration in Distributed Cloud/Edge Computing Systems With Stochastic Workloads by Zhang, Wenyu, Zhang, Zhenjiang, Zeadally, Sherali, Chao, Han-Chieh, Leung, Victor C. M.

    ISSN: 0733-8716, 1558-0008
    Published: New York IEEE 01.06.2020
    “… In this paper, we study the joint workload allocation and computation resource configuration problem in distributed cloud/edge computing…”
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    Journal Article
  12. 12

    Distributed Workload Control for Federated Service Discovery by Suraci, Vincenzo, Giorgi, Claudio Gori, Battilotti, Stefano, Facchinei, Francisco

    ISSN: 1877-0509, 1877-0509
    Published: Elsevier B.V 2015
    Published in Procedia computer science (2015)
    “… In this paper the authors propose a distributed workload control algorithm to handle efficiently the service discovery requests, with the aim of minimizing the overall latencies experienced…”
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    Journal Article
  13. 13

    WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system by Cheng, Daning, Li, Shigang, Zhang, Yunquan

    ISSN: 0743-7315
    Published: Elsevier Inc 01.11.2020
    “…Stochastic gradient descent (SGD) is a popular stochastic optimization method in machine learning. Traditional parallel SGD algorithms, e.g., SimuParallel SGD…”
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    Journal Article
  14. 14

    DistWalk: A Distributed Workload Emulator by Andreoli, Remo, Cucinotta, Tommaso

    ISSN: 2993-2114
    Published: IEEE 19.05.2025
    “…This paper introduces DistWalk, a flexible, distributed, scalable, and open-source toolkit designed to emulate compute, network, and storage workloads across a networked infrastructure, and measure…”
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    Conference Proceeding
  15. 15

    AISAW: An adaptive interference-aware scheduling algorithm for acceleration of deep learning workloads training on distributed heterogeneous systems by Bi, Yushen, Xi, Yupeng, Jing, Chao

    ISSN: 0167-739X
    Published: Elsevier B.V 01.05.2025
    Published in Future generation computer systems (01.05.2025)
    “… However, owing to the limited computational power of conventionally centralized clusters, it is more beneficial to accelerate workload training while placing them in distributed heterogeneous systems…”
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    Journal Article
  16. 16

    Improved Centralized XML Query Processing Using Distributed Query Workload by Subramaniam, Samini, Haw, Su-Cheng, Soon, Lay-Ki

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2021
    Published in IEEE access (2021)
    “… Due to an increase in query workloads and management of larger datasets, centralized processing is no longer feasible for XML query processing…”
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    Journal Article
  17. 17

    Towards transparent and distributed workload management for large scale web servers by Zhang, Shengzhi, Wang, Wenjie, Wu, Haishan, Vasilakos, Athanasios V., Liu, Peng

    ISSN: 0167-739X, 1872-7115
    Published: Elsevier B.V 01.06.2013
    Published in Future generation computer systems (01.06.2013)
    “… In order to achieve satisfactory Quality of Service (QoS) and reduce operation cost, we present a fully distributed workload management system in a large scale server environment, e.g., cloud…”
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    Journal Article
  18. 18

    Heterogeneity Aware Workload Management in Distributed Sustainable Datacenters by Cheng, Dazhao, Zhou, Xiaobo, Ding, Zhijun, Wang, Yu, Ji, Mike

    ISSN: 1045-9219, 1558-2183
    Published: New York IEEE 01.02.2019
    “… In this paper, we propose a holistic heterogeneity-aware cloud workload management approach, sCloud, that aims to maximize the system goodput in distributed self-sustainable…”
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    Journal Article
  19. 19

    Spatial and thermal aware methods for efficient workload management in distributed data centers by Ali, Ahsan, Özkasap, Öznur

    ISSN: 0167-739X
    Published: Elsevier B.V 01.04.2024
    Published in Future generation computer systems (01.04.2024)
    “…Geographically distributed data centers provide facilities for users to fulfill the demand of storage and computations, where most of the operational cost is due to electricity consumption…”
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    Journal Article
  20. 20

    Temperature Aware Workload Managementin Geo-Distributed Data Centers by Xu, Hong, Feng, Chen, Li, Baochun

    ISSN: 1045-9219, 1558-2183
    Published: IEEE 01.06.2015
    “…Lately, for geo-distributed data centers, a workload management approach that routes user requests to locations with cheaper and cleaner electricity has been developed to reduce energy consumption and cost…”
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    Journal Article