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检索条件"任意字段=IEEE International Conference on Service-Oriented Computing and Applications"

共 21006 条记录，以下是151-160 订阅

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A service-oriented Middleware Enabling Decentralised Deployment in Mobile Multihop Networks

A Service-Oriented Middleware Enabling Decentralised Deploym...

引用

20th international conference on service-oriented computing (ICSOC)

作者： Hogie, Luc CNRS Paris France Univ Cote Azur Lab I3S Nice France Inria Sophia Antipolis Biot France

ISBN: (纸本)9783031265068;9783031265075

The number of computing devices, mostly smartphones is tremendous. The potential for distributed computing on them is no less huge. But developing applications for such networks is challenging especially as most middleware solutions for distributed computing are tailored to managed grids and clusters, so they lacks the elasticity needed to deal with the difficult conditions brought by multi-hops, mobility, heterogeneity, untrustability, etc. To solve this, several middleware were released, but none of them feature workable deployment solutions. This paper presents the deployment service of the Idawi middleware, which implements a fully decentralized and automatised deployment strategy into a Open Source middleware tailored to enabling distributed computing in difficult networking conditions like in the IoT/fog/edge.

关键词： Decentralised systems Overlay networks Middleware Deployment IoT Java

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Cost-optimized scheduling for Microservices in Kubernetes 14

Cost-optimized scheduling for Microservices in Kubernetes

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14th ieee international conference on Cloud computing Technology and Science (CloudCom)

作者： Arunan, Sugunakumar Amarasinghe, Gayashan Perera, Indika Univ Moratuwa Dept Comp Sci & Engn Moratuwa Sri Lanka

ISBN: (纸本)9798350339826

The usage of Kubernetes for running microservices applications is increasing nowadays. In a particular application, all microservices do not have the same priority. Hence it is costly to allocate the same resources to both high and low-priority services. This research aims to utilize spot instances to run low-priority services with the intention of reducing the cloud cost and providing overall high availability to the application. A service called KubeEconomy has been proposed to monitor and manage Kubernetes worker nodes. Three functionalities of the KubeEconomy service have been explained and it is shown that it is possible to reduce the cloud cost while maintaining high availability for the microservices.

关键词： Cloud computing Container Orchestration Kubernetes Microservices Cost Optimization High availability Spot Instances

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Providing Sustainable Unmanned Facial Detection and Recognition service on Edge

Providing Sustainable Unmanned Facial Detection and Recognit...

引用

ieee international conference on Web services (ieee ICWS)

作者： Xiang, Zhengzhe Xue, Xizi Wang, Dongjing Chen, Yuanyi Zheng, Zengwei Gao, Honghao Hangzhou City Univ Hangzhou Peoples R China Zhejiang Univ Hangzhou Peoples R China Hangzhou Dianzi Univ Hangzhou Peoples R China Shanghai Univ Shanghai Peoples R China

ISBN: (纸本)9798350368567;9798350368550

Facial recognition technique is used extensively in areas like online payments, education, and social media. Traditionally, these applications relied on powerful cloud-based systems, but advancements in edge computing have changed this, enabling fast and reliable local processing in complex and extreme environment. However, new challenges arise in availability and durability insurance to make the system running 24/7 with acceptable performance. This paper proposes a novel solution to these challenging settings. First, we use edge device for local data processing, reducing the need for cloud communication and enhancing user privacy. Second, we implement an adaptive control strategy to improve energy management in these devices. Lastly, we establish a solar-powered energy system to facilitate long-term device operation. Our approach strikes a balance between performance, quality, and durability, enabling facial recognition systems to work consistently and efficiently in complex environments.

关键词： Edge computing service Management Resource Allocation Energy Harvesting

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BIS: NL2SQL service Evaluation Benchmark for Business Intelligence Scenarios 22nd

BIS: NL2SQL Service Evaluation Benchmark for Business Intell...

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22nd international conference on service oriented computing

作者： Caglayan, Bora Wang, Mingxue Kelleher, John D. Fei, Shen Tong, Gui Ding, Jiandong Zhang, Puchao Huawei Ireland Res Ctr Dublin Ireland Trinity Coll Dublin ADAPT Res Ctr Sch Comp Sci & Stat Dublin Ireland Huawei Technol Co Ltd Shenzhen Peoples R China

ISBN: (纸本)9789819608072;9789819608089

NL2SQL (Natural Language to Structured Query Language) transformation has seen wide adoption in Business Intelligence (BI) applications in recent years. However, existing NL2SQL benchmarks are not suitable for production BI scenarios, as they are not designed for common business intelligence questions. To address this gap, we have developed a new benchmark focused on typical NL questions in industrial BI scenarios. We discuss the challenges of constructing a BI -focused benchmark and the shortcomings of existing benchmarks. Additionally, we introduce question categories in our benchmark that reflect common BI inquiries. Lastly, we propose two novel semantic similarity evaluation metrics for assessing NL2SQL capabilities in BI applications and services.

关键词： Structured Query Language

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Recognition of Denial-of-service Attacks in IoT Networks with Linear Complexity Model 16

Recognition of Denial-of-Service Attacks in IoT Networks wit...

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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： Lautert, Henrique Fell Pioli Junior, Laercio de Macedo, Douglas D. J. Univ Fed Santa Catarina Florianopolis SC Brazil

ISBN: (纸本)9798400702341

The growth in the number of IoT devices and applications, as well as their heterogeneity and hardware limitations, make it difficult to apply traditional security mechanisms. In this way, the IoT layer has become a highly vulnerable part of the network. In this context, an intrusion detection system with low computational complexity is proposed for online recognition of denial-of-service attacks. A common feature of denial-of-service attacks is the sudden increase of a particular type of packet or request. To track this sudden increase, network traffic is first filtered by protocol, and then reduced to the number of packets over time. On these data, the techniques of sliding window and the comparison of moving averages, both adjustable by variables, are applied to identify the anomalies. Tests carried out on data extracted from pcap files, containing attacks carried out on real devices, demonstrate the accuracy in recognizing attacks. Furthermore, the tools and techniques for implementing the proposed model in a realistic environment are described.

关键词： Denial of service Attacks Anomaly Detection Internet of Things

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Introducing Monitoring and extended Elasticity support in TOSCA 16

Introducing Monitoring and extended Elasticity support in TO...

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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： Tsagkaropoulos, Andreas Verginadis, Yiannis Mentzas, Gregoris Inst Commun & Comp Syst 9 Iroon Polytech St Athens 15780 Greece Athens Univ Business & Econ Inst Commun & Comp Syst 9 Iroon Polytech St Athens 15780 Greece

ISBN: (纸本)9798400702341

Cloud services and applications become ever more important for enterprises, which profit from the advantages of scalability, flexibility and the pay-as-you-go model which are offered by Cloud service vendors. One of the most well-known standards in the domain, which have been developed about ten years ago, is the TOSCA cloud application specification. TOSCA allows the definition of the structure and operation of cloud applications. Although considerable work has been done before in the specification of monitoring and elasticity - of which a thorough analysis is provided - its quality and its integration in TOSCA can be significantly improved. In this work we suggest specific extensions covering the monitoring of processing components and the elasticity policies which are associated with them. Indicative TOSCA examples are provided to aid comprehension.

关键词： TOSCA extensions modelling elasticity cloud computing service monitoring

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An Energy-Efficient Partition and Offloading Method for Multi-DNN applications in Edge-End Collaboration Environments 22nd

An Energy-Efficient Partition and Offloading Method for Mult...

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22nd international conference on service oriented computing

作者： Yang, Zhiqing He, Xiang Wang, Teng Wang, Zhongjie Harbin Inst Technol Fac Comp Harbin Peoples R China

ISBN: (纸本)9789819608041;9789819608058

Deep Neural Networks (DNNs) have emerged as the preferred solution for Internet of Things (IoT) applications, owing to their remarkable performance capabilities. However, the inherent complexity of DNNs presents significant challenges for IoT devices that are constrained by limited computational power and battery life. To adeptly navigate the demands of intricate inference tasks, edge computing is leveraged, enabling collaborative inference of DNNs between IoT devices and edge servers. However, existing research rarely focus simultaneously on the power consumption of IoT devices, the latency of collaborative inference and the cost of edge servers. Moreover, current research seldom takes into account the deployment of multiple DNN applications on IoT devices, a critical factor for adapting to increasingly complex edge-end collaborative environments. This research focuses on optimizing the inference power consumption of multiple DNN applications deployed on IoT devices in larger-scale edge-end collaboration environments, under the constraints of maximum End-to-End latency and the cost of edge servers. To address this issue, we propose the Greedy Genetic Algorithm, which leverages a combination of greedy strategy and Genetic Algorithm. The performance of our proposed method is extensively evaluated through experiments, demonstrating its superiority in achieving lower inference power consumption with fewer iterations compared to existing solutions.

关键词： DNN inference Edge computing DNN Partitioning and Offloading Energy Efficiency Greedy Genetic Algorithm

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Semi-Optimal Microservice Placement in the Fog with Quality of service (QoS) Awareness 10

Semi-Optimal MicroService Placement in the Fog with Quality ...

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10th international conference on Control, Decision and Information Technologies (CoDIT)

作者： Benamer, Amira Rayane Audensiel Paris France

ISBN: (纸本)9798350373981;9798350373974

The proliferation of connected devices has catalyzed a shift towards intelligent systems reliant on real-time analytics for decision-making. While Cloud computing offers a mature service infrastructure, the transfer of vast data volumes for processing introduces challenges such as network congestion and latency, hampering real-time requirements. Edge/Fog computing emerges as a solution, enabling data processing and hosting lightweight learning models closer to users at the network edge. However, unlike the Cloud, which exhibits high resource elasticity with a limited number of resource nodes, Edge/Fog resources are widely distributed with high density, characterized by their heterogeneity and limited capacities. To optimize the deployment of applications with diverse resource and latency requirements, a strategic approach to application placement across Edge/Fog and Cloud computing environments is essential. This strategy must carefully balance application-specific needs, latency sensitivity, and operational cost minimization. To this end, we begin by formulating the placement problem as a linear program, focusing on microservice applications. We then propose a hybrid approach that combines k-means clustering for grouping Edge/Fog nodes (based on physical location) with the formulated linear model to enhance computational efficiency. The linear model is developed using the CPLEX solver and validated using real-world datasets of Edge/Fog node and user distributions. The findings unequivocally demonstrate that the clustering step leads to significantly decreased decision placement times, all while maintaining a high standard of solution quality. These results provide a promising avenue for deploying optimal models directly at the network's edge, enabling optimal application placement decisions while adhering to problem constraints.

关键词： K-means clustering

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Implementation of Data Mining Algorithm Based on Distributed Cloud Platform 3

Implementation of Data Mining Algorithm Based on Distributed...

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3rd ieee international conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2024

作者： Ming, Li Shuai, Gong Dongbo, Yu Min, Zhang Bin, Li Hongbo, Lu State Grid Anhui Electric Power Co. Ltd. Information and Communication Branch Hefei China

ISBN: (纸本)9798350380989

MapReduce and Hadoop distributed data processing technologies are used for systematic research. The system is interactive in distributed computing, data mining, service response and cloud environment. At the level of data mining, the normalized method is used to normalize the data, so that it has a standardized dimension. The converted signal is denoised by ICA fast decomposition method. Cloud DM takes full advantage of Hadoop's open-source cloud platform, which is able to efficiently process large amounts of data. This provides a service model for the development and operation of distributed data mining system. This paper introduces the core components of the business-based cloud computing mining engine and its implementation methods. Combined with data mining technology in cloud computing environment, large-scale data storage, processing and data interoperability are realized. Experiments show that this method can efficiently mine the spatial attributes of the city and improve the efficiency of data mining to a great extent. © 2024 ieee.

关键词： Cloud computing data mining Hadoop service-oriented architecture

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Semantic communications, semantic edge computing, and semantic caching with applications to the Metaverse and 6G mobile networks 43

Semantic communications, semantic edge computing, and semant...

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43rd ieee international conference on Distributed computing Systems (ICDCS)

作者： Yu, Wenhan Zhao, Jun Nanyang Technol Univ Singapore Singapore

ISBN: (纸本)9798350339864

The increasing popularity of applications like the Metaverse has led to the exploration of new, more effective ways of communication. Semantic communication, which focuses on the meaning behind transmitted information, represents a departure from traditional communication paradigms. As mobile devices become increasingly prevalent, it is important to explore the potential of edge computing to aid the semantic encoding/decoding process, which requires significant computing power and storage capabilities. However, establishing knowledge bases (KBs) for domain-oriented communication can be time-consuming. To address this challenge, this paper proposes a semantic caching model in edge computing system that caches domain-specialized general models and user-specific individual models. This approach has the potential to reduce the time and resources required to establish individual KBs while accurately capturing the semantics behind users' messages, ultimately leading to more efficient and accessible semantic communication.

关键词： Semantic communication Caching Edge computing

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