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ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence [article]

Luhui Wang, Cong Zhao, Shusen Yang, Xinyu Yang, Julie McCann
2022 arXiv   pre-print
The Edge-Cloud Collaborative Intelligence (ECCI) paradigm has become a popular approach to address such issues, and rapidly increasing applications are developed and deployed.  ...  In this article, we systematically design and construct the first unified platform, ACE, that handles ever-increasing edge and cloud resources, user-transparent services, and proliferating intelligence  ...  APPLICATION-CENTRIC ECCI PLATFORM Driven by all principles above, the explicit design of our Application-Centric ECCI (ACE) platform is as follows.  ... 
arXiv:2203.13061v1 fatcat:qg7oiikfwnd6zfvkawjhih7cem

EGI-ACE D2.2 EGI-ACE Strategic Plan

Sergio Andreozzi, Gergely Sipos, Mark Dietrich, Tiziana Ferrari
2021 Zenodo  
Launch of the European Alliance for Industrial Data, Edge and Cloud On 19 th July 2021 11 , the European Commission (EC) launched the European Alliance for Industrial Data, Edge and Cloud 12 .  ...  f data-centric scientific computing in Europe through the EOSC.  ...  ., edge computing, HPC) for which additional funding would be needed.  ... 
doi:10.5281/zenodo.6944570 fatcat:luvyyzimazhyjae4sxeab5ppzy

EGI-ACE D2.2 EGI-ACE Strategic Plan

Sergio Andreozzi, Gergely Sipos, Mark Dietrich, Tiziana Ferrari
2021 Zenodo  
data-centric scientific computing in Europe through the EOSC. 1 Introduction EGI-ACE is a 30-month project (Jan 2021 -June 2023) with a mission to empower researchers from all disciplines to collaborate  ...  Launch of the European Alliance for Industrial Data, Edge and Cloud On 19 th July 2021 11 , the European Commission (EC) launched the European Alliance for Industrial Data, Edge and Cloud 12 .  ...  Initiatives • The EOSC Compute Platform is promoted as a scenario within the EOSC Task Force on Financial Models (EGI-ACE SFG) • The EOSC Compute Platform is promoted towards the EOSC Partnership for support  ... 
doi:10.5281/zenodo.5745168 fatcat:o23boxxhxvbu5euqbauzmudani

Clustering Arabic Tweets for Sentiment Analysis

Diab Abuaiadah, Dileep Rajendran, Mustafa Jarrar
2017 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)  
Towards a collaborative architecture of Honeypots.  Sarra Naoui, Mohamed Elhoucine Elhdhili and Leila Azouz Saidane.  ...  Cloud Based Collaborative Software Development: A Review, Gap Analysis and Future Directions. Chair: Dr. Anja Habacha & Dr.  ... 
doi:10.1109/aiccsa.2017.162 dblp:conf/aiccsa/AbuaiadahRJ17 fatcat:t63au2drvrbo3fulnxkunb7kvy

Detailed Program

2019 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)  
Towards an Edge-based Architecture for Real-Time Collaborative Editors • Dou El Kefel Mansouri, Seif-Eddine Benkabou, Bachir Kaddar, Dorob Wali Ahmad and Waqar Haque.  ...  Towards Optimistic Access Control in Cloud-based Collaborative Editors Adriel dos Santos Araújo, "Computer Techniques for Follow up Breast Cancer Neoadjuvant Treatment Using Infrared Examinations" • Maryam  ... 
doi:10.1109/aiccsa47632.2019.9035306 fatcat:iejcl2bj7jdfrgzgxkcckga22y

Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms [article]

Ana Juan Ferrer, Soeren Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao
2021 arXiv   pre-print
In this paper we introduce our vision of a Cognitive Computing Continuum to address the changing IT service provisioning towards a distributed, opportunistic, self-managed collaboration between heterogeneous  ...  All this creates novel demands for the underlying architecture and resource management, which must bridge the gap from edge to cloud environments, while keeping the QoS parameters within required boundaries  ...  a seamless collaboration with dedicated Edge and Cloud resources.  ... 
arXiv:2103.06026v1 fatcat:qz3hv3clojhpth6bmreovcfuta

A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface

Omer Ali, Mohamad Khairi Ishak, Muhammad Kamran Liaquat Bhatti, Imran Khan, Ki-Il Kim
2022 Sensors  
Furthermore, this article addresses the open challenges and provides comprehensive steps towards IoT stack optimization.  ...  Finally, the interfacing of Fog/Edge Networks to IoT technology stack is thoroughly investigated by discussing the current research and open challenges in this domain.  ...  advanced real-time device-level analytics throughout edge and cloud Pixeom Software-Defined Edge computing platform that extends cloud function-alities to on-premise Deeplite Artificial Intelligence (  ... 
doi:10.3390/s22030995 pmid:35161740 pmcid:PMC8840251 fatcat:sfaylca5lzam7kqq3p6kujtld4

Survey on Multi-Access Edge Computing for Internet of Things Realization

Pawani Porambage, Jude Okwuibe, Madhusanka Liyanage, Mika Ylianttila, Tarik Taleb
2018 IEEE Communications Surveys and Tutorials  
IoT is identified as a key use case of MEC, given MEC's ability to provide cloud platform and gateway services at the network edge.  ...  The emergence of Multi-Access Edge Computing (MEC) technology aims at extending cloud computing capabilities to the edge of the radio access network, hence providing real-time, high-bandwidth, low-latency  ...  Big data analytics in shopping centers can further exploit the collaborative processing between edge and cloud computing [52] .  ... 
doi:10.1109/comst.2018.2849509 fatcat:fnksr3dbqfakzfvnopyyxjdlfm

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI [article]

Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang (+6 others)
2022 arXiv   pre-print
Influenced by the great success of deep learning via cloud computing and the rapid development of edge chips, research in artificial intelligence (AI) has shifted to both of the computing paradigms, i.e  ...  However, edge computing, especially edge and cloud collaborative computing, are still in its infancy to announce their success due to the resource-constrained IoT scenarios with very limited algorithms  ...  Edge computing [6] has the quite promising IoT applications in the future intelligent life, but without the auxiliary from cloud computing, the powerful large models will be extravagant to most of us  ... 
arXiv:2111.06061v3 fatcat:5rq6s5s4cvcidblidgahwynp34

Towards Actionable Mission Impact Assessment in the Context of Cloud Computing [chapter]

Xiaoyan Sun, Anoop Singhal, Peng Liu
2017 Lecture Notes in Computer Science  
Our case study shows that the new cloud-applicable model is able to bridge the gap be tween mission impact assessment and cyber resilience.  ...  Today's cyber-attacks towards enterprise networks often un dermine and even fail the mission assurance of victim net works.  ...  First, it is not mission-centric. The at tack graph is able to generate potential attack paths through logical reasoning, but it lacks the capability to reason po tential impacts towards missions.  ... 
doi:10.1007/978-3-319-61176-1_14 fatcat:syhd74ykffb6tnguplgwqtcwka

Collaborative Machine Learning-Driven Internet of Medical Things – A Systematic Literature Review [article]

Rohit Shaw
2022 arXiv   pre-print
This could serve as a good starting point for future studies on collaborative machine learning on IoMT data.  ...  The growing adoption of IoT devices for healthcare has enabled researchers to build intelligence using all the data produced by these devices.  ...  of collaborative computing.  ... 
arXiv:2207.06416v1 fatcat:o7vny36q5vbznjkfgoguimpu7e

A Survey of State-of-the-art on Edge Computing: Theoretical Models, Technologies, Directions, and Development Paths

Bin Liu, Zhongqiang Luo, Hongbo Chen, Chengjie Li
2022 IEEE Access  
It is true that edge computing has been adaptively integrated into growing number of applications.  ...  Edge computing theory and technology will bring substantial innovation and incentive, as well as a large number of application scenarios in different fields, such as edge computing assisted smart city,  ...  This strategy implements task scheduling between MD, ES and cloud and collaboration between ES. 3) EDGE INTELLIGENCE ARCHITECTURE With the breakthrough of DL, Artificial Intelligence (AI) applications  ... 
doi:10.1109/access.2022.3176106 fatcat:7l3p2ug5dfb6pl6qvw7liuzayu

Smart Electric Vehicle Charging in the Era of Internet of Vehicles, Emerging Trends, and Open Issues

Bhaskar P. Rimal, Cuiyu Kong, Bikrant Poudel, Yong Wang, Pratima Shahi
2022 Energies  
and its applications, digital twins of IoV, software-defined IoVs, and intelligent EV charging with information-centric networking, and parking lot microgrids and EV-based virtual storage.  ...  The fourth industrial revolution, that is, a cyber-physical system in conjunction with the Internet of Things (IoT) and coexistence of edge (fog) and cloud computing brings new ways of dealing with such  ...  Further, edge computing infrastructures are decentralized and serve as local storage of the remote centralized cloud, while periodically synchronizing with it, and offer various innovative edge applications  ... 
doi:10.3390/en15051908 fatcat:kanwltg735ehjonbcpty5czpjy

D1.1: COLLABS Innovations for Industrial IoT Systems1

Miloš Radovanović, Wafa Ben Jaballah, George Bravos, Erwan Le-Disez, Ernesto Gomez Marin, Erwin Moed, Md Masoom Rabbani, Valerio Senni, Fabio Federici, George Spanoudakis, Konstantinos Fysarakis, Martin Wimmer (+2 others)
2021 Zenodo  
During the past year there have been many works in the domains relevant to COLLABS, notably in blockchain applications, machine- and deep-learning based anomaly detection and wireless system design, remote  ...  security (Section 4), function as a service (FaaS, Section 5), secure and trusted execution environments (Section 6), encrypted traffic analysis (Section 7), and AI-enabled cybersecurity in IIoT-based collaborative  ...  a sophisticated AI approach tailor-made for IIoT challenges towards the COLLABS comprehensive cyber-intelligence framework for collaborative manufacturing.  ... 
doi:10.5281/zenodo.5256842 fatcat:xf4y27mcjvbwvfjxy7lo4kwqw4

Towards the Internet of Behaviors in airports with a fog-to-cloud approach [article]

Antonio Salis
2021 arXiv   pre-print
The use of the fog-to-cloud platform and the fulfilling of all centricity and privacy requirements of the IoB give evidence of the impact of the solution in a smart city environment.  ...  machine learning, and using fog computing in between IoT and the Cloud.  ...  Figure 3 shapes the functional blocks defined for the agent entity, Platform Manager (PM), Agent Controller (AC), Data Management, Security, Event Manager, Graphical User Interface (GUI) and an Application  ... 
arXiv:2112.06006v1 fatcat:kk6d5nd5ufeqhgffrkcorhgxta
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