標(biāo)題: Titlebook: Cloud Computing and Services Science; 12th International C Maarten van Steen,Donald Ferguson,Claus Pahl Conference proceedings 2024 The Edi [打印本頁(yè)] 作者: minuscule 時(shí)間: 2025-3-21 16:42
書目名稱Cloud Computing and Services Science影響因子(影響力)
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書目名稱Cloud Computing and Services Science被引頻次
書目名稱Cloud Computing and Services Science被引頻次學(xué)科排名
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書目名稱Cloud Computing and Services Science讀者反饋
書目名稱Cloud Computing and Services Science讀者反饋學(xué)科排名
作者: 排他 時(shí)間: 2025-3-21 20:35
,Empowering Statistical Analysis in?FaaS Environments Through the?Orama Framework, execution of benchmarks in environments with this architecture has grown. The Orama framework has positioned itself as an aid tool in this type of evaluation, allowing the comparison of environments of this category through statistical analyses with factorial design and t-test, as well as a direct 作者: padding 時(shí)間: 2025-3-22 03:43 作者: Osteoporosis 時(shí)間: 2025-3-22 07:46 作者: 昆蟲 時(shí)間: 2025-3-22 11:51 作者: intrigue 時(shí)間: 2025-3-22 16:40
,Metamodel and?Formalization to?Model, Transform, Deploy, and?Execute Quantum Workflows,ration and orchestration challenges arising when building hybrid applications, a quantum-specific workflow modeling extension was introduced. However, it lacks support for state-of-the-art techniques that have emerged in recent years, e.g., circuit cutting and warm-starting. As the usage of these co作者: intrigue 時(shí)間: 2025-3-22 18:58
,Edge AI Deployment and?Stream-Based Time Series Classification Within ARTHUR,nd productivity. This study delves into the concept of edge computing, where AI algorithms are deployed closer to data sources within a distributed architecture. The ARTHUR framework, a versatile Data Acquisition System with Distributed Sensors, developed under the slogan “test before invest”, is in作者: 牽索 時(shí)間: 2025-3-22 22:21 作者: Pageant 時(shí)間: 2025-3-23 03:13 作者: MEET 時(shí)間: 2025-3-23 09:03 作者: sterilization 時(shí)間: 2025-3-23 12:02 作者: 流逝 時(shí)間: 2025-3-23 16:19
Agents and Artificial Intelligenceat maximizes performance metrics. The experiments conducted are an improvement on our previous self-healing approach. Our findings demonstrate the effectiveness of the proposed controller in enhancing performance and reliability, leading to precise and improved results.作者: 他去就結(jié)束 時(shí)間: 2025-3-23 18:30
Jakob Smedegaard Andersen,Olaf Zukunftower than its rivals, while Azure suffered from a high penalty on the first request due to the cold start. AWS and GCP presented similar performances, including failures in the face of high levels of concurrence.作者: 繼承人 時(shí)間: 2025-3-24 01:32 作者: Finasteride 時(shí)間: 2025-3-24 02:45 作者: 物質(zhì) 時(shí)間: 2025-3-24 08:46 作者: vanquish 時(shí)間: 2025-3-24 11:34 作者: 缺乏 時(shí)間: 2025-3-24 16:25 作者: Admire 時(shí)間: 2025-3-24 23:02
,Misconfiguration of?Cluster and?IoT Systems Recovery: Extended Experiments,at maximizes performance metrics. The experiments conducted are an improvement on our previous self-healing approach. Our findings demonstrate the effectiveness of the proposed controller in enhancing performance and reliability, leading to precise and improved results.作者: cardiopulmonary 時(shí)間: 2025-3-25 01:58
Conference proceedings 2024ubmissions out of which 3 papers are included in this book. From 46 submissions received for CLOSER 2023, 7 papers have been selected for inclusion in this book. They focus on latest advances and various aspects of cloud computing and the link to services science.?.作者: 向外才掩飾 時(shí)間: 2025-3-25 05:18
Daniel Michulke,Stephan Schiffels by adopting a declarative task-oriented approach. We demonstrate how the prototype achieved TRL7, through its full integration into the production monitoring stack of the federated national Cloud powered by Consortium GARR, viz., the Italian National Research and Education Network.作者: Corral 時(shí)間: 2025-3-25 08:35
Conference proceedings 2024nd CLOSER 2023, which took place as a virtual event in April 2022 and in Prague, Czech Republic, in April 2023.?..CLOSER 2022 received a total of 45 submissions out of which 3 papers are included in this book. From 46 submissions received for CLOSER 2023, 7 papers have been selected for inclusion in作者: 粗俗人 時(shí)間: 2025-3-25 15:14
,A Distributed Tool for?Monitoring and?Benchmarking a?National Federated Cloud,s by adopting a declarative task-oriented approach. We demonstrate how the prototype achieved TRL7, through its full integration into the production monitoring stack of the federated national Cloud powered by Consortium GARR, viz., the Italian National Research and Education Network.作者: 欺騙世家 時(shí)間: 2025-3-25 18:59
1865-0929 clusion in this book. They focus on latest advances and various aspects of cloud computing and the link to services science.?.978-3-031-68164-6978-3-031-68165-3Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 欺騙手段 時(shí)間: 2025-3-25 23:35 作者: Epidural-Space 時(shí)間: 2025-3-26 02:43
Lecture Notes in Computer Scienceve network and communication-aware microservices scheduling and orchestration strategy. In particular, we propose an extension of the default Kubernetes scheduler that takes into account microservices communication relationships, modeled through the use of the TOSCA language, the run time communicat作者: 乞討 時(shí)間: 2025-3-26 08:16
Agents and Artificial Intelligencetheir risks and severity, and provide the necessary measures to mitigate them. The proposed framework helps administrators to evaluate SDN security, address identified threats and meet network security requirements.作者: Bumble 時(shí)間: 2025-3-26 09:17 作者: 窩轉(zhuǎn)脊椎動(dòng)物 時(shí)間: 2025-3-26 14:17
Agents and Artificial Intelligences obtained with SimGrid. The approach specifically focuses on homogeneous and static Fog Robotics infrastructures. It introduces an algorithm that simultaneously optimizes the duration and cost of using Fog resources to determine the minimal resource requirements that compromise both metrics. We app作者: neuron 時(shí)間: 2025-3-26 20:11
Security-Aware Scheduling of Multiple Scientific Workflows in Cloud,red to prior art. We demonstrate the benefits of scheduling multiple workflows by . algorithm. We propose an enhanced security model for accurate estimation of risk and study the impact of different security levels on cost and makespan.作者: 貿(mào)易 時(shí)間: 2025-3-26 22:21 作者: Hot-Flash 時(shí)間: 2025-3-27 03:01
,Security Evaluation in?Software-Defined Networks,their risks and severity, and provide the necessary measures to mitigate them. The proposed framework helps administrators to evaluate SDN security, address identified threats and meet network security requirements.作者: ALTER 時(shí)間: 2025-3-27 09:01
,Orchestrating Microservices-Based Applications in?the?Cloud-to-Edge Continuum,er to implement an effective resource and network-aware microservices scheduling and orchestration strategy. Sophos extends the Kubernetes control and scheduling logic with a dynamic orchestration strategy aimed to continously adapt the placement and configuration of the application based on the run作者: 稀釋前 時(shí)間: 2025-3-27 13:11
Fog-Robotics Infrastructures Simulation-Based Sizing Approach,s obtained with SimGrid. The approach specifically focuses on homogeneous and static Fog Robotics infrastructures. It introduces an algorithm that simultaneously optimizes the duration and cost of using Fog resources to determine the minimal resource requirements that compromise both metrics. We app作者: BRACE 時(shí)間: 2025-3-27 15:59
Cloud Computing and Services Science978-3-031-68165-3Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 失誤 時(shí)間: 2025-3-27 19:07 作者: osculate 時(shí)間: 2025-3-28 00:06 作者: 捕鯨魚叉 時(shí)間: 2025-3-28 03:07
978-3-031-68164-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 泄露 時(shí)間: 2025-3-28 07:12
Josef Baloun,Pavel Král,Ladislav Lenced attention for executing complex scientific processes. The scientific workflows comprise of interdependent and heterogenous tasks. The cloud provides different instances of VMs (computing, memory, storage) and different security services (such as authentication, integrity, confidentiality) for sec作者: MOAT 時(shí)間: 2025-3-28 12:41
Jakob Smedegaard Andersen,Olaf Zukunft execution of benchmarks in environments with this architecture has grown. The Orama framework has positioned itself as an aid tool in this type of evaluation, allowing the comparison of environments of this category through statistical analyses with factorial design and t-test, as well as a direct 作者: 窒息 時(shí)間: 2025-3-28 17:40 作者: overweight 時(shí)間: 2025-3-28 22:09
Agents and Artificial Intelligenceer of this change is virtualisation, which allows computing resources to be deployed on a large scale. However, traditional DCs, with their network topology and proliferation of network endpoints, are struggling to meet the flexible, centrally managed requirements of cloud computing applications. So作者: 項(xiàng)目 時(shí)間: 2025-3-29 00:25
Daniel Michulke,Stephan Schiffelxtensible, customisable and open-access tools, featuring control over monitoring tasks and configurations, probabilistic representation of measured performance, and declarative description of setups. In this article, we present an open-source monitoring prototype that targets all the above objective作者: Badger 時(shí)間: 2025-3-29 05:36
Lecture Notes in Computer Scienceration and orchestration challenges arising when building hybrid applications, a quantum-specific workflow modeling extension was introduced. However, it lacks support for state-of-the-art techniques that have emerged in recent years, e.g., circuit cutting and warm-starting. As the usage of these co作者: 驚呼 時(shí)間: 2025-3-29 07:52 作者: 相容 時(shí)間: 2025-3-29 15:01
Agents and Artificial Intelligenceeriments on the self-healing approach for misconfigurations that adopt a Markov Decision Process to determine the optimal recovery action or policy that maximizes performance metrics. The experiments conducted are an improvement on our previous self-healing approach. Our findings demonstrate the eff作者: HACK 時(shí)間: 2025-3-29 18:40
Fadel Adoe,Yingke Chen,Prashant Doshigeo-distributed Cloud-to-Edge environments. Kubernetes is today the de-facto standard for container orchestration on Cloud data centers. However, its static container scheduling strategy is not suitable for the placement of complex and distributed microservices-based applications on Edge environment
