Ceaml: A novel modeling language for enabling cloud and edge continuum orchestration

被引:0
|
作者
Korontanis, Ioannis [1 ,2 ]
Makris, Antonios [1 ,2 ]
Tserpes, Konstantinos [1 ,2 ]
机构
[1] Harokopio Univ Athens, Dept Informat & Telemat, Omirou 9, GR-17676 Athens, Greece
[2] Natl Tech Univ Athens, Sch Elect & Comp Engn, Iroon Politecn St Zografou Campus, GR-15780 Athens, Greece
来源
SOFTWARE AND SYSTEMS MODELING | 2024年
基金
欧盟地平线“2020”;
关键词
Cloud modeling language; Application model; Cloud; Edge; Orchestration; Runtime adaptation; Workflows;
D O I
10.1007/s10270-024-01222-9
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Cloud modeling languages (CMLs) are utilized to depict and describe Cloud infrastructures and services in a manner that is easily comprehensible and manipulable by Cloud orchestration systems. These languages play a pivotal role in the domain of Cloud and Edge computing, as they enable the deployment of applications and services that can be dynamically scaled and adapted to evolving workloads. In this paper, a novel CML is presented that encompasses the ability to represent runtime adaptation through an event-driven syntax that relies on Quality of Experience conditions. In addition to introducing the modeling language, this paper also explains how it was applied in a system to deploy and adapt applications within Kubernetes at runtime.
引用
收藏
页码:553 / 571
页数:19
相关论文
共 50 条
  • [21] Resource-aware Orchestration of IoT Applications in Edge-Cloud Continuum with 6G
    Shahid, Hafiz Faheem
    2024 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS, PERCOM WORKSHOPS, 2024, : 245 - 246
  • [22] Modeling the Green Cloud Continuum: integrating energy considerations into Cloud-Edge models
    Patel, Yashwant Singh
    Townend, Paul
    Singh, Anil
    Ostberg, Per-Olov
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (04): : 4095 - 4125
  • [23] Intelligent Service Orchestration in Edge Cloud Networks
    Zeydan, Engin
    Mangues-Bafalluy, Josep
    Turk, Yekta
    IEEE NETWORK, 2021, 35 (06): : 126 - 132
  • [24] The Edge-to-Cloud Continuum
    Milojicic, Dejan
    COMPUTER, 2020, 53 (11) : 16 - 25
  • [25] Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows
    Balouek-Thomert, Daniel
    Renart, Eduard Gibert
    Zamani, Ali Reza
    Simonet, Anthony
    Parashar, Manish
    INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2019, 33 (06): : 1159 - 1174
  • [26] Event-Driven FaaS Workflows for Enabling IoT Data Processing at the Cloud Edge Continuum
    Sicari, Christian
    Balouek, Daniel
    Villiari, Massimo
    Parashar, Manish
    16TH IEEE/ACM INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING, UCC 2023, 2023,
  • [27] A deep reinforcement learning approach towards distributed Function as a Service (FaaS) based edge application orchestration in cloud-edge continuum
    Khansari, Mina Emami
    Sharifian, Saeed
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2025, 233
  • [28] Application orchestration in mobile edge cloud Placing of IoT applications to the edge
    Hegyi, Attila
    Flinck, Hannu
    Ketyko, Istvan
    Kuure, Pekka
    Nemes, Csaba
    Pinter, Lajos
    2016 IEEE 1ST INTERNATIONAL WORKSHOPS ON FOUNDATIONS AND APPLICATIONS OF SELF* SYSTEMS (FAS*W), 2016, : 230 - 235
  • [29] LLRS : A Low latency Resource Scheduling in Cloud Continuum orchestration
    Mukuhi, David Kule
    Outtagarts, Abdelkader
    PROCEEDINGS OF THE 27TH CONFERENCE ON INNOVATION IN CLOUDS, INTERNET AND NETWORKS, ICIN, 2024, : 81 - 87
  • [30] Enabling Automated Service Orchestration in a Computing Continuum with User-Owned Devices
    Herrera, Juan Luis
    Berrocal, Javier
    Chen, Hsiao-Yuan
    Julien, Christine
    2024 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE SERVICES ENGINEERING, SSE 2024, 2024, : 86 - 96