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Rethinking Application Container Networking in a Multi-cluster world 17

Rethinking Application Container Networking in a Multi-clust...

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ieee 17th international conference on Cloud computing (ieee CLOUD)

作者： Govindarajan, Chander Naik, Priyanka Govindarajan, Kavya Goel, Seep IBM Res Bengaluru India

ISBN: (纸本)9798350368543;9798350368536

Multi-cloud deployments are set to change the very fabric of cloud computing, allowing applications to be deployed over multiple clusters and cloud providers, offering flexibility and geo-redundancy. Existing multi-cloud networking approaches either require tight coupling of clusters or separation of control and management for intra and inter cluster networking. Unlike compute and storage, networking for multi-cluster cannot be approached as an extension to single cluster operations. Multi-cloud necessitates that networking must be rethought in terms of the application and not the underlying networking solution, cluster type or cloud provider. We propose Application Networking Interface (ANI), an application centric, provider agnostic interface to control and manage networking solutions for single and multi-cluster contexts. ANI presents exciting opportunities for application networking and we envision that it will revamp the outlook towards multi-cloud networking.

关键词： application networking CNI multi-cloud multi-cloud networking multi-cluster service mesh

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Orchestration of heterogeneous, distributed, real-time control containers 22

Orchestration of heterogeneous, distributed, real-time contr...

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22nd ieee international conference on Industrial Informatics, INDIN 2024

作者： Walker, Moritz Rupietta, Leonard Lechler, Armin Neubauer, Michael Verl, Alexander University of Stuttgart Stuttgart Germany

ISBN: (纸本)9798331527471

In today’s global market, manufacturers must be highly adaptable, producing profitably smaller batches. Disintegrating hardware and software and embracing modern IT concepts like containerization and service-oriented Architecture enable this flexibility. While offering rapid reconfiguration, these approaches add complexity. Orchestration tools aid in analyzing response times, workload mapping, and parameter selection for containerized real-time applications. However, current tools struggle with managing distributed, heterogeneous, real-time apps. This paper proposes an orchestration solution based on Compositional Performance Analysis and Genetic Algorithm to optimize task allocation across diverse computing resources. The approach enables the orchestration of heterogeneously scheduled, container-based, distributed real-time systems. © 2024 ieee.

关键词： service oriented architecture (SOA)

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Delay-aware Parallel offloading AIGC service in Edge computing

Delay-aware Parallel offloading AIGC Service in Edge Computi...

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ieee/CIC international conference on Communications in China (ICCC)

作者： Zeng, Weizhe Zheng, Jie Wang, Hai Sung, Qian Cao, Rui Jil, Shuo Ren, Jie Gao, Ling Northwest Univ Sch Informat & Technol Xian Peoples R China Northwest Univ Network & Data Ctr Xian Peoples R China Shaanxi Normal Univ Sch Comp Sci Xian Peoples R China

ISBN: (纸本)9798350377675;9798350377682

Mobile edge computing (MEC) enabled artificial intelligence-generated content (AIGC) has garnered significant attention. To support AIGC metaverse applications within MEC, it is effective to offload computation tasks, particularly those involving neural networks AIGC, from mobile devices to edge clouds. Existing solutions typically assume the availability of a dedicated and powerful edge server for each user, which can handle the entire AIGC service offloading. However, in practical scenarios, the availability of such dedicated and powerful servers may be limited, necessitating the utilization of less capable alternatives. Thus, we propose the delay-aware parallel offloading AIGC framework which partitions multi-modal content and offloads partial diffusion tasks to multiple servers. The proposed scheme accelerates mobile deep vision multi-modal metaverse applications by leveraging parallel offloading for any server provisioning. Our framework integrates recurrent region proposal prediction algorithm with delay-aware multi-modal parallel diffusion offloading scheme, optimizing communication and computing resources while minimizing delay in wireless environments. Simulation results show that our approach can reduce delay by 20% compared to conventional algorithms.

关键词： Parallel Offloading Artificial intelligence-generated content (AIGC) Region Proposal Prediction edge computing

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Energy-Efficient Deployment of Stateful FaaS Vertical applications on Edge Data Networks 33

Energy-Efficient Deployment of Stateful FaaS Vertical Applic...

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33rd ieee international conference on Computer Communications and Networks (ICCCN)

作者： Cicconetti, Claudio Bruno, Raffaele Passarella, Andrea CNR IIT Pisa Italy

ISBN: (纸本)9798350348439;9798350384611

5G and beyond support the deployment of vertical applications, which is particularly appealing in combination with network slicing and edge computing to create a logically isolated environment for executing customer services. Even if serverless computing has gained significant interest as a cloud-native technology its adoption at the edge is lagging, especially because of the need to support stateful tasks, which are commonplace in, e.g., cognitive services, but not fully amenable to being deployed on limited and decentralized computing infrastructures. In this work, we study the emerging paradigm of stateful Function as a service (FaaS) with lightweight task abstractions in WebAssembly. Specifically, we assess the implications of deploying inter-dependent tasks with an internal state on edge computing resources using a stateless vs. stateful approach and then derive a mathematical model to estimate the energy consumption of a workload with given characteristics, considering the power used for both processing and communication. The model is used in extensive simulations to determine the impact of key factors and assess the energy trade-offs of stateless vs. stateful.

关键词： Stateful FaaS Local Data Networks Beyond 5G Vertical applications Serverless computing

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Automatic Test Case Generation for Serverless applications 16

Automatic Test Case Generation for Serverless Applications

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16th ieee international conference on service-oriented System Engineering (SOSE)

作者： Winzinger, Stefan Wirtz, Guido Univ Bamberg Distributed Syst Grp Bamberg Germany

ISBN: (数字)9781665475341

ISBN: (纸本)9781665475341

Testing is an important part of software development helping detect faults and gain confidence in the quality of the software. However, serverless computing, a new cloud computing model which emerged with Amazon's introduction of AWS Lambda, still lacks testing support. In serverless computing, applications consist of several components mainly built around serverless functions whose integration has to be tested. In particular for regression tests and stress testing, many test cases are needed which have to cover different parts of the application. Therefore, we investigated how test cases can be built for serverless applications and what is needed for an automatic test case generation. Based on these requirements represented by a model, we built a tool which is able to create integration tests for some coverage criteria automatically and evaluated their potential on two applications. The results showed that integration test cases can be built for the supported criteria with a high coverage by our tool which can be helpful for regression or stress tests where many different test cases are needed.

关键词： Serverless FaaS test case generation integration testing model-based testing

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An Event-B Based Approach for Horizontally Scalable IoT applications 22nd

An Event-B Based Approach for Horizontally Scalable IoT Appl...

引用

22nd international conference on service oriented computing

作者： Hellal, Yassmine Gara Hamel, Lazhar Graiet, Mohamed Univ Monastir Fac Sci Monastir Monastir Tunisia Univ Monastir Dept Comp Sci ISIMM Monastir Tunisia Pantheon Assas Univ Efrei Res Lab EFREI Paris Villejuif France

ISBN: (纸本)9789819608041;9789819608058

The applications are being growingly executed on IoT systems. Such systems may involve devices that often rely on limited power sources, processing capabilities and shut down for prolonged durations to maximize energy efficiency. They do not possess the means to forge reliable and direct communications with the Internet. Establishing horizontally scalable applications is not always assured in IoT systems. In this paper, we propose a model to verify horizontally scalable IoT applications. Three verification axes are considered: Architectural, Intermediation, and Horizontal Scalability. Thus, we adopted the Event-B formal method to incrementally develop our model, taking advantage of its refinement features. We also engaged proof obligations to accurately verify the model and then leveraged the ProB animator for its validation.

关键词： IoT applications Architectural Verification Intermediation Horizontal Scalability low-power Event-B

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Energy-Efficient Resource Management for Real-Time applications in FaaS Edge computing Platforms 16

Energy-Efficient Resource Management for Real-Time Applicati...

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16th ieee/ACM international conference on Utility and Cloud computing (UCC) / 10th ieee/ACM international conference on Big Data computing, applications and Technologies (BDCAT)

作者： Vahabi, Shahrokh Righetti, Francesca Vallati, Carlo Tonellotto, Nicola Univ Pisa Dept Informat Engn Pisa Italy

ISBN: (纸本)9798400702341

Edge computing and Function-as-a-service are two emerging paradigms that enable a timed analysis of data directly in the proximity of cyber-physical systems and users. Function-as-a-service platforms deployed at the edge require mechanisms for resource management and allocation to schedule function execution and to scale the available resources in order to ensure the proper quality of service to applications. Large-scale deployments will also require mechanisms to control the energy consumption of the overall system, to ensure long-term sustainability. In this paper, we propose a technique to schedule function invocations on Edge resources by powering down idle edge nodes during period of low demands. In doing so, our technique aims at reducing the overall energy consumption without incurring in service level agreements violations. Experimental evaluations demonstrate that the proposed approach reduces service level agreement violations by at least 78.1% and energy consumption by at least 62.5% on average using synthetic and real-world datasets w.r.t. different baselines.

关键词： Edge computing Resource management Energy efficiency service level agreement Function-as-a-service

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Enabling Moving services in Enterprise computing 2

Enabling Moving Services in Enterprise Computing

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2nd international conference on Advanced Innovations in Smart Cities, ICAISC 2025

作者： Hamdy, Mohamed Samy, Ahmed Dahab, Mohamed Elbahnasy, Khaled Ain Shams University Cairo Egypt King Abdulaziz University Jeddah Saudi Arabia Monofia University Egypt Jeddah International College Jeddah Saudi Arabia

ISBN: (纸本)9798331506995

Recently., ICT enables new models for enterprise applications and resources such as Cloud computing. The common business applications and resources management within an enterprise compose the enterprise computing environment. The wireless and mobile infrastructure support in an enterprise computing environment for mobile applications represents the common feature of the modern enterprise computing. This work proposes a model for utilizing the role of service mobility or what is called (in this work) the 'moving services'' in an intermediary layer between cloud data service providers and their clients inside an enterprise computing environment. The model enables a better service mobility coverage for an enterprise. This intermediary layer introduces a required Edge/Fog computing layer that uses the wireless infrastructure to support a better data service allocation for the mobile clients and applications. This work considers the integration between Cloud Data services and their replicas inside enterprise environment. Moreover., the infrastructure of wireless enterprise networks and the challenges of deploying this model are introduced and discussed. © 2025 ieee.

关键词： Mobile edge computing

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Teaching Learning-Based Optimization for Medical IoT applications service Placement in Fog computing

Teaching Learning-Based Optimization for Medical IoT applica...

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2024 ieee international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2024

作者： Baskar, R. Mohanraj, E. Sneka, T. Yazhini, S. Vasanth, S. K. S. Rangasamy College of Technology Computer Science and Engineering Tiruchengode637 215 India

ISBN: (纸本)9798350348460

Fog computing with Medical Internet of Things (IoT) applications changes how healthcare systems manage low latency, privacy, and reliability. This research suggests using Teaching Learning-Based Optimization (TLBO) to improve fog computing service placement for Medical IoT applications. Inspired by classroom teaching and learning, TLBO guides solutions to optimal configurations through collaboration. service placement is crucial to fog node computational resource allocation for Medical IoT healthcare services. Optimizing medical service distribution across fog nodes reduces latency, improves privacy, and boosts healthcare system reliability. Simulations indicate the TLBO algorithm's adaptability to dynamic and resource-constrained healthcare situations. The results show that TLBO-based service placement optimizes crucial healthcare parameters, opening up new Fog computing applications in Medical IoT. © 2024 ieee.

关键词： Dynamic Resource Allocation Low Latency Medical applications Medical IoT services Teaching Learning-Based Optimization (TLBO)

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Design of Platform-Independent IoT applications in the Edge-Cloud Continuum 20

Design of Platform-Independent IoT Applications in the Edge-...

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20th Annual international conference on Distributed computing in Smart Sensor Systems and the Internet of Things (DCOSS-IoT)

作者： Marozzo, Fabrizio Vinci, Andrea Univ Calabria DIMES Dept Arcavacata Di Rende Italy ICAR CNR Natl Res Council Italy Arcavacata Di Rende Italy

ISBN: (纸本)9798350369458;9798350369441

In the dynamic edge cloud continuum, where platforms and vendors do not have shared standards, application development often depends on the initial platform choice. Furthermore, applications designed and deployed to leverage the cloud for data analytics and storage, with devices as data generators, face challenges in adapting to intermediate levels of the edge-cloud continuum (such as on-premise, near and faredge). This paper presents a novel approach that uses a set of abstractions to conceptualize platform-independent applications. applications are modeled as a composition of abstract services, which are independent of the place of distribution, be it edge or cloud, and specific platforms, and offer developers flexibility in the selection of services and providers during distribution, optimizing the use of resources and costs. Through detailed modeling, this paper uncovers how applications interact with abstract services, structured as workflows comprising interconnected tasks encompassing computation, communication, and storage. The interaction between these elements has a significant impact on both quality of service (QoS) and cost considerations, a key consideration in the design phase. Using such abstractions in modeling not only facilitates application development but also simplifies application deployment processes. A case study within the Industrial Internet of Things (IIoT) validates the modeling approach, illustrating how precise and abstract modeling of the application, independent of specific platforms, facilitates the development of real-world applications within the edge-cloud continuum.

关键词： Edge Cloud Continuum service Composition Abstract Design Deployment Agnosticism Requirements Analysis

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