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IContinuum: An Emulation Toolkit for Intent-Based Computing Across the Edge-to-Cloud Continuum

Negin Akbari, Adel N. Toosi, John Grundy, Hourieh Khalajzadeh, Mohammad S. Aslanpour, Shashikant Ilager

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

The Internet of Things (IoT) has led to a surge in smart devices, generating vast volumes of data. Cloud computing offers scalability but does not suffice for many real-time and privacy-sensitive IoT applications. This limitation has prompted a blend of both edge and cloud resources, creating the need for seamless integration, known as the 'compute continuum'. Testing applications and resource management techniques within this continuum is vital but can be very complex. Simulation and emulation are preferred methods, with emulation providing more accurate representations of real-world environments. In this paper, we introduce iContinuum, a novel emulation toolkit facilitating an intent-based platform for edge-to-cloud testing and experimentation. Leveraging Software-Defined Networking (SDN) and containerization, iContinuum enables experimentation and performance evaluation while aligning application requirements with actual performance. We present our detailed architecture, implementation, and evaluation of iContinuum, showcasing how our proposed toolkit bridges the gap between simulation and real-world deployment within compute continuum environments, and further demonstrate the effectiveness of Intent-Based Scheduling through a specific use case.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 17th International Conference on Cloud Computing, IEEE CLOUD 2024
EditorsRong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi Atukorala, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Tevfik Kosar, Santonu Sarkar, Sreekrishnan Venkateswaran, Shangguang Wang, Xuanzhe Liu, Seetharami Seelam, Chandra Narayanaswami, Ziliang Zong
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages468-474
Number of pages7
ISBN (Electronic)9798350368536
ISBN (Print)9798350368543
DOIs
Publication statusPublished - 2024
EventIEEE International Conference on Cloud Computing 2024 - Shenzhen, China
Duration: 7 Jul 202413 Jul 2024
Conference number: 17th
https://ieeexplore.ieee.org/xpl/conhome/10643868/proceeding (Proceedings)
https://services.conferences.computer.org/2024/ (Website)

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190

Conference

ConferenceIEEE International Conference on Cloud Computing 2024
Abbreviated titleCLOUD 2024
Country/TerritoryChina
CityShenzhen
Period7/07/2413/07/24
Internet address

Keywords

  • Compute Continuum
  • Container Orchestration
  • Emulation
  • IBN
  • Intents
  • Kubernetes
  • SDN

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