Paper Publications

Current position: Home > Scientific Research > Paper Publications

Solution to propagation of compressing wave based on continuum hypothesis

  • Release time:2026-07-20
  • Hits:

  • Impact Factor: 

    9.2

  • DOI number: 

    10.1109/TCC.2026.3714912

  • Affiliation of Author(s): 

    中国矿业大学

  • Teaching and Research Group: 

    计算机系

  • Journal: 

    IEEE Transactions on Cloud Computing

  • Place of Publication: 

    美国

  • Key Words: 

    Serverless computing, resource configuration,reinforcement learning, performance optimization, cloud computing

  • Abstract: 

    Serverless resource control must react to workload pressure without ignoring what the function actually computes. Existing profiling and telemetry-driven optimizers mainly observe runtime symptoms, which makes them slow to transfer across functions whose CPU, memory, and I/O behavior differ. CALO is a code-aware and load-aware controller that caches offline code embeddings, combines them with live telemetry in a 79-dimensional state, and selects memory, architecture, and timeout from a 48-action provider catalog. CALO is trained with a measurement-grounded batch-window simulator built from OpenWhisk warm, cold-start, burst, and idle-gap profiles, which supports simulator-based policy comparison while keeping the execution model tied to measured behavior. Across three seeds, five benchmarks, and four workload families under dual x64/ARM64 calibration, CALO improves mean raw reward from 0.513 to 0.569 over online Bayesian optimization and raises the 10% Conditional Value at Risk (CVaR10) from 0.163 to 0.351. A matched Load-Only CALO ablation indicates a modest, workload-dependent code contribution: the largest mean gains occur on thumbnailer and image-recognition, while effects are mixed or small when runtime telemetry already explains the workload well. OpenWhisk validation covers 120 x64 fixedconfiguration targets, yields 112 deployable configurations with 13.9% median warm-path error, and gives positive transfer evidence across eight focused adaptive-stress replay cases. Together, the simulator and OpenWhisk evidence indicate that code semantics can provide a complementary control signal within the tested settings, while online action selection remains lightweight at 0.124 ms median and 0.132 ms p95 on the local CPU used in this study. Code is available at https://github.com/MuQY1818/calo-experiments

  • First Author: 

    徐东红

  • Co-author: 

    卜炜珏,叶周亮,武世龙

  • Indexed by: 

    Journal paper

  • Discipline: 

    Engineering

  • First-Level Discipline: 

    Computer Science and Technology

  • Document Type: 

    J

  • Page Number: 

    1 - 14

  • Number of Words: 

    12000

  • ISSN No.: 

    2168-7161

  • Translation or Not: 

    no

  • Date of Publication: 

    2026-07-20

  • Included Journals: 

    SCI
Address:No1,Daxue Road,Xuzhou,Jiangsu,221116,P.R.China    Email: master@cumt.edu.cn
All Rights Reserved by China University of Mining and Technology