# EdgeSys 2025 : EdgeSys 2025 : The 8th International Workshop on Edge Systems, Analytics and Networking

Conference completed its latest edition on March 31, 2025.

**Type**: Conference
**Status**: Expired
**Verified On**: 9th May, 2026

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## ⏱ Critical Deadline
> *No submission deadline specified*

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## 📍 Event Information
- **Mode**: In Person
- **Location**: Global
- **Field**: Interdisciplinary
- **Date**: March 31, 2025
- **Official Website**: [https://edge-sys.github.io/2025/](https://edge-sys.github.io/2025/?utm_source=callforpaper.org)

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## 📝 Call for Papers Description


<a href="https://callforpaper.org/categories/conomie" title="Browse  call for papers" rel="follow" aria-label="View more  call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors"></a>Call For Papers<br><br>Given the growing demand for real-time gathering and processing of vast amount of <a href="https://callforpaper.org/categories/data-1" title="Browse data call for papers" rel="follow" aria-label="View more data call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">data</a> from data-intensive <a href="https://callforpaper.org/categories/services" title="Browse services call for papers" rel="follow" aria-label="View more services call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">services</a> such as autonomous driving and <a href="https://callforpaper.org/categories/augmented-reality-1" title="Browse augmented reality call for papers" rel="follow" aria-label="View more augmented reality call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">augmented reality</a> (AR), we are witnessing a visible trend to push computing and data analytics closer to the edge of networks for benefits in low latency, <a href="https://callforpaper.org/categories/reliability-1" title="Browse reliability call for papers" rel="follow" aria-label="View more reliability call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">reliability</a>, throughput, <a href="https://callforpaper.org/categories/security-1" title="Browse security call for papers" rel="follow" aria-label="View more security call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">security</a> and privacy. Supported by lightweight virtualization <a href="https://callforpaper.org/categories/technologies-1" title="Browse technologies call for papers" rel="follow" aria-label="View more technologies call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">technologies</a> such as Docker Containers and Unikernels, the decentralized edge computing paradigm aims to offer efficient access to various geographically distributed computing resources. In this context, the EdgeSys <a href="https://callforpaper.org/categories/workshop-1" title="Browse workshop call for papers" rel="follow" aria-label="View more workshop call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">workshop</a> focuses on the confluence of edge computing, decentralized communication and distributed computing. For example, there are several industry-led edge computing and orchestration platforms such as KubeEdge, Firecracker, and Azure Sphere. In the decentralized communication <a href="https://callforpaper.org/categories/space-1" title="Browse space call for papers" rel="follow" aria-label="View more space call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">space</a>, <a href="https://callforpaper.org/categories/systems" title="Browse systems call for papers" rel="follow" aria-label="View more systems call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">systems</a> such as Mastodon and Matrix have been developed. There are also lots of <a href="https://callforpaper.org/categories/academic-research" title="Browse academic research call for papers" rel="follow" aria-label="View more academic research call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">academic research</a> activities on <a href="https://callforpaper.org/categories/mobile-1" title="Browse mobile call for papers" rel="follow" aria-label="View more mobile call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">mobile</a> data and computation offloading (e.g., Cloudlet, Talket, ThinkAir, MAUI, and MADNet) and systems that combine <a href="https://callforpaper.org/categories/decentralization" title="Browse decentralization call for papers" rel="follow" aria-label="View more decentralization call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">decentralization</a> and computation/<a href="https://callforpaper.org/categories/storage-1" title="Browse storage call for papers" rel="follow" aria-label="View more storage call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">storage</a> offloading together, such as IPFS. In addition, as data analytics and <a href="https://callforpaper.org/categories/machine-learning-3" title="Browse machine learning call for papers" rel="follow" aria-label="View more machine learning call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">machine learning</a> are increasingly offered as a service, the next phase of evolution is to extend the offerings beyond basic algorithms and push the analytics closer to the edge where the data from users and <a href="https://callforpaper.org/categories/devices-1" title="Browse devices call for papers" rel="follow" aria-label="View more devices call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">devices</a> is first captured. In this regard, edge computing has the potential to enable a new class of real-time data analytics platforms and services. We expect such edge-driven data analytics will emerge and reshape the existing cloud-based data processing pipelines. The knowledge from this new edge pipeline can further power future cyber-physical and network services, such as cognitive assistance and proactive accident prevention for autonomous driving.<br><br>The 8th Workshop on Edge Systems, Analytics and Networking (EdgeSys'25) aims to bring together system researchers, data scientists, engineers and practitioners to identify open directions and discuss the latest research ideas and results on edge systems, analytics and networking, especially those related to novel and emerging technologies and use cases. EdgeSys focuses on systems, analytics and networking aspects, covering system architecture, distributed <a href="https://callforpaper.org/categories/ml-1" title="Browse ML call for papers" rel="follow" aria-label="View more ML call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">ML</a> algorithms, decentralized networking, distributed consensus and ledger techniques, edge services and data analysis.<br><br>The topics include but are not limited to the following:<br><br>    System Architecture for Edge Computing<br>    Distributed Machine Learning for Edge Analytics and Services<br>    Generative AI on Edge<br>    Edge <a href="https://callforpaper.org/categories/storage-systems-1" title="Browse Storage Systems call for papers" rel="follow" aria-label="View more Storage Systems call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">Storage Systems</a><br>    Edge-driven Data Analytics<br>    Lightweight Virtualization for Edge Computing<br>    Distributed Consensus Algorithms and Ledger Technologies<br>    Infrastructure and Toolkit for Edge AI<br>    Trustworthy Edge AI<br>    Sustainable Edge Computing<br>    IoT Networking and Communications<br>    (Autonomous) Management for Edge Systems<br>    System Performance and <a href="https://callforpaper.org/categories/measurement-1" title="Browse Measurement call for papers" rel="follow" aria-label="View more Measurement call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">Measurement</a><br>    Security and <a href="https://callforpaper.org/categories/trust-1" title="Browse Trust call for papers" rel="follow" aria-label="View more Trust call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">Trust</a> Management<br>    Privacy-Preserving Analytics<br>    Data Provenance for Distributed Processing<br>    Heterogeneous & Scalable Orchestration<br>    Serverless, In-network Computing<br>    Joint <a href="https://callforpaper.org/categories/optimization-1" title="Browse Optimization call for papers" rel="follow" aria-label="View more Optimization call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">Optimization</a> of Edge Network, Computation and Storage Resources<br><br>Important Dates<br><br>    Submission deadline: 31 January 2025<br>    Acceptance notification: 28 February 2025<br>    Workshop date: 31 March 2025<br><br>Submission Guidelines<br><br>Authors are encouraged to submit papers describing original and unpublished research, not currently under review in other venues. In particular, innovative, early-stage ideas and preliminary results are welcome. Papers must be submitted electronically as PDF files, formatted for 8.5x11-inch paper. The length of the paper must be no more than 6 pages in the ACM double-column format (10-pt font), including references and everything. Authors are suggested to use the ACM Master article template. The reviews will be single blind. The first page must contain an abstract, the name(s) and affiliation(s) of the author(s), as well as the corresponding contact <a href="https://callforpaper.org/categories/information-1" title="Browse information call for papers" rel="follow" aria-label="View more information call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">information</a>. Each submission will receive independent, blind peer reviews from the program committee. Accepted papers will be published in the ACM Digital Library. At least one of the authors of every accepted paper must register and present the paper at the workshop. The program committee will elect one paper for the Best Paper Award.<br><br>Submission: 
	

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## 🏷 Taxonomy &amp; Topics
- **Primary Category**: N/A
- **Research Fields**: 

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## 🧭 Agent Instructions
- **Standard Link**: `https://callforpaper.org/cfp/call-for-papers-edgesys-2025`
- **Markdown Link**: `https://callforpaper.org/cfp/call-for-papers-edgesys-2025.md`
- **PDF Version**: `https://callforpaper.org/cfp/call-for-papers-edgesys-2025.pdf`

