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

共 20996 条记录，以下是11-20 订阅

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A Stable Matching Approach to Energy Efficient and Sustainable Serverless Scheduling for the Green Cloud Continuum 18

A Stable Matching Approach to Energy Efficient and Sustainab...

引用

18th ieee international conference on Intelligent and service-oriented Systems Engineering (CISOSE)

作者： Patel, Yashwant Singh Townend, Paul Umea Univ Dept Comp Sci Umea Sweden

ISBN: (纸本)9798331539580

Cloud infrastructures are evolving from centralised systems to geographically distributed federations of edge devices, fog nodes, and clouds - often known as the Cloud-Edge Continuum. Continuum systems are dynamic, often massive in scale, and feature disparate infrastructure providers and platforms;this greatly increase the complexity of developing and managing applications. The Serverless paradigm shows the potential to greatly simplify the process of building Continuum applications - however, current scheduling mechanisms for Serverless Continuum platforms pay little attention to reducing the energy consumption and improving the sustainability of function execution. This is a significant omission, made worse as computing nodes within a Continuum may be powered by renewable energy sources that are intermittent and unpredictable, making low-powered and bottleneck nodes unavailable. There is great opportunity to design a decentralized energy management scheme for scheduling Serverless functions that takes advantage of the different layers of the Continuum, such as IoT devices located at the Edge, on-premises clusters closer to the data sources, or directly on large Cloud infrastructures. To achieve this, we formally model a green energy-aware Serverless workload scheduling problem for the multi-provider Cloud-Edge Continuum. We then design stable matching based technique for decentralized energy management (utilising a distributed controller) that considers the availability of green energy nodes and the QoS requirements of Serverless functions. We prove the complexity, stability and termination of the proposed heuristic algorithm, and also compare its performance with baseline scheduling techniques.

关键词： Cloud-Edge Continuum Serverless computing Renewable energy Scheduling Function-as-a-service Matching

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Goal-oriented Modeling in Fault Tolerant service-oriented Multi-Agent Systems 48

Goal-Oriented Modeling in Fault Tolerant Service-Oriented Mu...

引用

48th Annual ieee international Computers, Software, and applications conference (COMPSAC) - Digital Development for a Better Future

作者： Troubitsyna, Elena KTH Royal Inst Technol Dept Comp Sci Stockholm Sweden

ISBN: (纸本)9798350376975;9798350376968

Multi-agent systems are examples of complex distributed systems enabling dynamic adaptation in providing their services. By establishing on-the-fly collaborations, the agents can execute complex scenarios and adapt to changing operating conditions including agent failures. We investigate how goal-oriented modelling can enhance reliability by providing a structured support for designing fault tolerant service orchestration.

关键词： multi-agent systems goal-oriented modelling fault tolerance

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Poster: service Polymorphism: Enhancing Web service Performance by Serving Clients Dissimilarly 44

Poster: Service Polymorphism: Enhancing Web Service Performa...

引用

44th ieee international conference on Distributed computing Systems (ICDCS)

作者： Li, Zhengquan Song, Zheng Univ Michigan Dearborn Dept Comp & Informat Sci Dearborn MI 48128 USA

ISBN: (纸本)9798350386066;9798350386059

Modern applications often invoke web services to access remote data and functionalities. The current service-oriented paradigm is "one-size-fits-all," where App developers expect a single service to deliver satisfying Quality of service (QoS) to all geographically and temporally dispersed clients. However, our empirical study reveals that despite the pervasive use of CDN and edge computing, many web services deliver significantly varied QoS to different users, resulting in some clients suffering from poor user experience. This paper introduces service polymorphism, a novel software paradigm that serves dispersed clients dissimilarly to improve their perceived QoS. service polymorphism allows a client to maintain a list of equivalent services and invokes the one that offers the optimal QoS in the invocation context. The main challenge in supporting service polymorphism lies in minimizing the overhead for fine-grained QoS sensing. To address this challenge, we propose an edge-based QoS sharing mechanism that aggregates the context-specific QoS in edge servers, and allows clients to retrieve the QoS from local WiFi Access Points with minimized latency to decide the optimal service. Our evaluation shows that service polymorphism improves QoS significantly for 8 services out of 20, reducing their average latency by 231 ms (45%), tail latency by 80 ms (12%), and error ratio from 0.2% to 0%.

关键词： Web service Latency WiFi Access Points

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SCOOP: a SCalable Object-oriented serverless Platform 16

SCOOP: a SCalable Object-Oriented serverless Platform

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ieee 16th international conference on Cloud computing (ieee CLOUD)

作者： Shahidi, Narges Gunasekaran, Jashwant Raj Kandemir, Mahmut Taylan Urgaonkar, Bhuvan Penn State Univ Comp Sci & Engn University Pk PA 16802 USA Adobe Res San Jose CA USA

ISBN: (纸本)9798350304817

Function-as-a-service (FaaS) has been the primary component to drive the movement toward serverless computing. These lightweight and scalable components, though attractive, are non-trivial to accommodate the needs of long-running stateful applications. In this paper, we highlight the drawbacks of existing stateful FaaS proposals, in turn motivating the need to rethink the stateful serverless model for building general-purpose applications, while maintaining its benefits such as auto-scaling and pay-per-use cost model. We present a novel serverless model based on the object-oriented (OO) programming paradigm, with Object-as-a-service (OaaS), acting as the only component of the serverless design. Through our experimental evaluations, we demonstrate that the proposed architecture, named SCOOP, can improve the end-to-end latency of applications by 52% and 58%, compared to the state-of-the-art stateless and stateful FaaS implementations, respectively, while reducing the SLO violations by up to 14% by scaling resources based on the traffic fluctuations in the WITS and Berkeley traces.

关键词： Serverless computing Object-oriented Programming FaaS Stateful AWS Azure AWS Step Function Azure Durable Function

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Green Orchestration of Cloud-Edge applications: State of the Art and Open Challenges 17

Green Orchestration of Cloud-Edge Applications: State of the...

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17th ieee international Congress on Intelligent and service-oriented Systems Engineering (CISOSE)

作者： Gaglianese, Marco Soldani, Jacopo Forti, Stefano Brogi, Antonio Univ Pisa Dept Comp Sci Pisa Italy

ISBN: (纸本)9798350322392

In recent years, Cloud-Edge computing continuum paradigms have received increasing attention to support the deployment of latency-critical and bandwidth-hungry applications enabled by the Internet-of-Things. Meanwhile, the dramatic increase in energy consumption of ICT calls for new methodologies to reduce the ecological impact of application orchestration, making it environmentally sustainable. This article conducts a systematic literature review of the state-of-the-art related to environmentally sustainable orchestration of containerised applications in Cloud-Edge settings. Ultimately, it points to open challenges and directions for future work in the field.

关键词： green computing sustainability containers application management systematic literature review

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Tutorial: Object as a service (OaaS) Serverless Cloud computing Paradigm 44

Tutorial: Object as a Service (OaaS) Serverless Cloud Comput...

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44th ieee international conference on Distributed computing Systems (ICDCS)

作者： Lertpongrujikorn, Pawissanutt Salehi, Mohsen Amini Univ North Texas High Performance Cloud Comp HPCC Lab Denton TX 76205 USA

ISBN: (纸本)9798350354720;9798350354713

While the first generation of cloud computing systems mitigated the job of system administrators, the next generation of cloud computing systems is emerging to mitigate the burden for cloud developers-facilitating the development of cloud-native applications. This paradigm shift is primarily happening by offering higher-level serverless abstractions, such as Function as a service (FaaS). Although FaaS has successfully abstracted developers from the cloud resource management details, it falls short in abstracting the management of both data (i.e., state) and the non-functional aspects, such as Quality of service (QoS) requirements. The lack of such abstractions implies developer intervention and is counterproductive to the objective of mitigating the burden of cloud-native application development. To further streamline cloud-native application development, we present Object-as-a-service (OaaS)-a serverless paradigm that borrows the object-oriented programming concepts to encapsulate application logic and data in addition to non-functional requirements into a single deployment package, thereby streamlining provider-agnostic cloud-native application development. We realized the OaaS paradigm through the development of an open-source platform called Oparaca. In this tutorial, we will present the concept and design of the OaaS paradigm and its implementation-the Oparaca platform. Then, we give a tutorial on developing and deploying the application on the Oparaca platform and discuss its benefits and its optimal configurations to avoid potential overheads.

关键词： FaaS Serverless paradigm Cloud computing Cloud-native programming Abstraction

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Comparison of Integration Coverage Criteria for Serverless applications 17

Comparison of Integration Coverage Criteria for Serverless A...

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17th ieee international Congress on Intelligent and service-oriented Systems Engineering (CISOSE)

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

ISBN: (纸本)9798350322392

Serverless computing is a modern computing model which is mainly based on serverless functions. These functions are combined with other serverless functions and services to build applications whose integration has to be tested. Coverage criteria are commonly used to determine the relevance of test cases within a test suite. However, it is unclear how effective these criteria are at detecting faults. To investigate this issue, we designed an experiment in which we injected faults into several applications by using mutation operators. Tests suites fulfilling different coverage criteria were run on these applications and compared to randomly generated test suites and each other. Our results showed that the use of coverage criteria can significantly improve the identification of integration-related faults. Additionally, our research suggests that it is beneficial to apply some coverage criteria in an earlier stage to quickly identify faults, before moving on to more comprehensive criteria. Therefore, by applying coverage criteria, developers can create and select relevant test cases and improve the quality of the serverless applications built.

关键词： Serverless FaaS integration testing mutation testing coverage criteria model-based testing

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Towards an API-driven Approach for Universal and Lightweight Cloud-Edge Orchestration 18

Towards an API-driven Approach for Universal and Lightweight...

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18th ieee international conference on Intelligent and service-oriented Systems Engineering (CISOSE)

作者： Boehm, Sebastian Wirtz, Guido Univ Bamberg Distributed Syst Grp Bamberg Germany

ISBN: (纸本)9798331539580

service placement in cloud-edge environments is complex because workloads must be placed on constrained nodes based on particular objectives, like response time, energy, or cost. Many advanced techniques emerged over time to tackle this issue. However, real-world experiments are the minority. Theoretical and simulation-based evaluations are prevalent. We present a Platform for Universal and Lightweight Cloud-Edge Orchestration (PULCEO) to foster real-world evaluations. It supports creating, operating, monitoring, evaluating, and documenting orchestration solutions via a RESTful API. For evaluation, we performed a case study. We used PULCEO to reproduce a representative and theoretically designed solution for service placement in a real-world environment. Our platform can transfer theoretical orchestration solutions to real-world environments. Consequently, our platform simplifies realworld experiments with topology creation, dynamic link quality measurement, evaluation, and documentation automation.

关键词： service Placement Edge computing Fog computing Cloud-Edge Orchestration Orchestration Platform

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A Comparison of Distributed Tracing Tools in Serverless applications 17

A Comparison of Distributed Tracing Tools in Serverless Appl...

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17th ieee international Congress on Intelligent and service-oriented Systems Engineering (CISOSE)

作者： Eder, Christina Winzinger, Stefan Lichtenthaeler, Robin Univ Bamberg Distributed Syst Grp Bamberg Germany

ISBN: (纸本)9798350322392

Serverless computing can favor the emergence of complex and error-prone applications. In order to gain observability in such applications, distributed tracing can be used. However, as serverless computing relies on the pay-per-use billing model, utilizing distributed tracing tools can have a noticeable impact on the resulting costs. Therefore, this paper investigates the impact of distributed tracing in serverless applications by exploring and comparing the efficiency characteristics of three selected distributed tracing tools - Zipkin, OpenTelemetry, and SkyWalking. In particular, the runtime, the memory usage, and the initialization duration were examined by benchmarking AWS Lambda function invocations. In the experiments, Zipkin imposed the lowest runtime overhead with an average of 10.73 %, while SkyWalking introduced the highest overhead with an average runtime overhead of 50.67 %. OpenTelemetry added 24.19% additional runtime. Besides runtime overheads, significantly higher memory usage and initialization durations were detected for all tools. Therefore, the results suggest that distributed tracing can significantly impact the efficiency of serverless applications. Nevertheless, differences could be observed concerning tracing mechanisms and use cases. This helps developers to carefully select the most suitable tracing tool considering factors such as runtime overhead, memory usage, and initialization durations.

关键词： Distributed Tracing Serverless AWS Lambda Benchmarking

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1st international Workshop on Edge Adoption and Migration, EdgeWays 2020, 16th international Workshop on Engineering service-oriented applications and Cloud services, WESOACS 2020, ESOCC 2020 PhD Symposium, ESOCC 2020 EU Projects Track which took place at 8th European conference on service-oriented and Cloud computing, ESOCC 2020

1st International Workshop on Edge Adoption and Migration, E...

引用

1st international Workshop on Edge Adoption and Migration, EdgeWays 2020, 16th international Workshop on Engineering service-oriented applications and Cloud services, WESOACS 2020, ESOCC 2020 PhD Symposium, ESOCC 2020 EU Projects Track which took place at 8th European conference on service-oriented and Cloud computing, ESOCC 2020

ISBN: (纸本)9783030719050

The proceedings contain 18 papers. The special focus in this conference is on Edge Adoption and Migration. The topics include: Towards Resolving Security Smells in Microservice-Based applications;towards Citizen-Centric Marketplaces for Urban Sensed Data;DevOps and Quality Management in Serverless computing: The RADON Approach;5G-CARMEN: service Continuity in 5G-Enabled Edge Clouds;services computing for Cyber-Threat Intelligence: The ANITA Approach;Quality Assurance of Heterogeneous applications: The SODALITE Approach;fogProtect: Protecting Sensitive Data in the computing Continuum;intelligent Monitoring of Virtualized services;edge computing Simulation Platforms: A Technology Survey;platforms for Serverless at the Edge: A Review;formal Modeling and Simulation of Collaborative Intelligent Robots;virtual Machine Placement for Edge and Cloud computing;Cloud-Edge Microservice Architecture for DNN-based Distributed Multimedia Event Processing;modelling service-oriented Systems and Cloud services with Heraklit;an Evaluation of Frameworks for Microservices Development;mining the Architecture of Microservice-Based applications from their Kubernetes Deployment.

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