標題: Titlebook: Algorithmic Aspects of Cloud Computing; 5th International Sy Ivona Brandic,Thiago A. L. Genez,Rizos Sakellariou Conference proceedings 2020 [打印本頁] 作者: MOURN 時間: 2025-3-21 17:42
書目名稱Algorithmic Aspects of Cloud Computing影響因子(影響力)
書目名稱Algorithmic Aspects of Cloud Computing影響因子(影響力)學科排名
書目名稱Algorithmic Aspects of Cloud Computing網絡公開度
書目名稱Algorithmic Aspects of Cloud Computing網絡公開度學科排名
書目名稱Algorithmic Aspects of Cloud Computing被引頻次
書目名稱Algorithmic Aspects of Cloud Computing被引頻次學科排名
書目名稱Algorithmic Aspects of Cloud Computing年度引用
書目名稱Algorithmic Aspects of Cloud Computing年度引用學科排名
書目名稱Algorithmic Aspects of Cloud Computing讀者反饋
書目名稱Algorithmic Aspects of Cloud Computing讀者反饋學科排名
作者: 諂媚于性 時間: 2025-3-22 00:10 作者: Coronary-Spasm 時間: 2025-3-22 01:48
0302-9743 , ALGOCLOUD 2019, held in Munich, Germany, in September 2019...The 8 revised full papers were carefully reviewed and selected from 16 submissions. The aim of the symposium is to present research activities and results on topics related to algorithmic, design, and development aspects of modern cloud-作者: BRAND 時間: 2025-3-22 07:37
On the Diagonal N-Representability Problem,rol the data rate by re-configuring the IoT devices to send data based on the current network condition and load on the Edge device. We tested this system with a simulated data flow from 10 sensors to a Raspberry Pi Device which performed the rate limiting.作者: 間接 時間: 2025-3-22 10:07 作者: Frequency 時間: 2025-3-22 16:01
Relativistic density functional theory,referendum. In particular, Twitter users have been classified and the results have been compared with the polls before voting and with the results obtained after the vote. The achieved results are very close to the real ones.作者: Indicative 時間: 2025-3-22 17:12
Developing a Cloud-Based Algorithm for Analyzing the Polarization of Social Media Users,referendum. In particular, Twitter users have been classified and the results have been compared with the polls before voting and with the results obtained after the vote. The achieved results are very close to the real ones.作者: JOT 時間: 2025-3-22 23:57
Algorithms for a Smart Construction Environment,h Quality of Service (QoS) to various AI-based applications. Due to the various uncertainties of the Fog Computing environment, the project aims at also providing Service Level Agreements for the offered services, which include assurances, ranking and verification of Edge-to-Cloud deployment options作者: 殘酷的地方 時間: 2025-3-23 01:55 作者: DEMUR 時間: 2025-3-23 09:16
A Container-Driven Approach for Resource Provisioning in Edge-Fog Cloud,ity, the proximity of computational resources to data producers and consumers, and the dynamic system status, our proposed scheduling mechanism selects the most adequate host to achieve the minimum response time for a given IoT service. We show how a hybrid use of containers and serverless microserv作者: 雜色 時間: 2025-3-23 10:08
Self-adaptive Container Deployment in the Fog: A Survey,y, we identify some open challenges that arise for the application deployment in the fog. In literature, we can find many different approaches for adapting the containers deployment, each tailored for optimizing a specific objective, such as the application response time, its deployment cost, or the作者: Minatory 時間: 2025-3-23 17:19 作者: 小歌劇 時間: 2025-3-23 20:14 作者: 鞭子 時間: 2025-3-23 22:38 作者: Distribution 時間: 2025-3-24 06:16 作者: 哪有黃油 時間: 2025-3-24 10:00
https://doi.org/10.1007/978-1-4757-4931-1y, we identify some open challenges that arise for the application deployment in the fog. In literature, we can find many different approaches for adapting the containers deployment, each tailored for optimizing a specific objective, such as the application response time, its deployment cost, or the作者: adhesive 時間: 2025-3-24 12:58
Density Matrix Theory and Applicationsbase migration problem from the perspective of security risk minimization (shift minimization) and establish the computational complexities of several models in the same. We present experimental results for various intractable models and show that our heuristic methods produce solutions that are wit作者: growth-factor 時間: 2025-3-24 16:53
Ivona Brandic,Thiago A. L. Genez,Rizos Sakellariou作者: MUT 時間: 2025-3-24 22:52 作者: Ascribe 時間: 2025-3-25 00:19
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/152903.jpg作者: 交響樂 時間: 2025-3-25 03:19
https://doi.org/10.1007/978-3-030-58628-7architecture types; artificial intelligence; big data; cloud computing; cloud services; computer networks作者: Fretful 時間: 2025-3-25 07:39 作者: prostate-gland 時間: 2025-3-25 14:06 作者: 積云 時間: 2025-3-25 17:10
Scalable and Hierarchical Distributed Data Structures for Efficient Big Data Management,In this work, we survey state of the art hierarchical distributed data structures for the efficient handling of big data, in scenarios where the dominant operation is range queries which have to be answered in real-time. Our main focus is on structures that exhibit stable scalability.作者: Substitution 時間: 2025-3-25 22:23
Algorithmic Aspects of Cloud Computing978-3-030-58628-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 自制 時間: 2025-3-26 00:32
Density Functionals: Theory and Applicationscts. Setting up smart services and applications that would support the building process is on the wish list of every construction company. Such applications, however, have time-critical requirements that must be addressed in the application designing process. There are four broad types of converging作者: CLAIM 時間: 2025-3-26 04:53
Relativistic density functional theory, been developed for capturing the mood of social media users related to a specific topic of interest. This paper shows how to use a cloud-based algorithm aimed at discovering the polarization of social media users in relation to political events characterized by the rivalry of different factions. Th作者: 調整 時間: 2025-3-26 12:10
On the Diagonal N-Representability Problem,on. For sensors, the data flow is from the physical devices to the cloud. The IoT edge device is responsible for collecting this data and forwarding it to the cloud environment for processing. The time it takes for the data to be made available for processing in the cloud is critical, and the networ作者: 陶醉 時間: 2025-3-26 14:27
Density Matrix Theory and Applicationsdevices at the network edge. It is a characteristic of the target environment that both, the infrastructure to be monitored and the hosts where the monitoring system runs, change over time, and network partitions may happen. The proposed monitoring system is decentralized, and monitoring servers coo作者: COLON 時間: 2025-3-26 18:41
https://doi.org/10.1007/978-1-4757-4931-1the use of the cloud, IoT networks present new challenges because the ever growing number of IoT devices increases the latency of transferring data to central cloud data centers. Edge and fog computing represent practical solutions to counter the huge communication needs between IoT devices and the 作者: 不給啤 時間: 2025-3-26 23:22
https://doi.org/10.1007/978-1-4757-4931-1delays among resources as well as the dynamism of operating conditions. Such a variable computing environment leads the applications to adopt an elastic and decentralized execution. To simplify the application deployment and run-time management, containers are widely used nowadays. The deployment of作者: 公司 時間: 2025-3-27 04:04 作者: EXPEL 時間: 2025-3-27 06:27
Algorithms for a Smart Construction Environment,cts. Setting up smart services and applications that would support the building process is on the wish list of every construction company. Such applications, however, have time-critical requirements that must be addressed in the application designing process. There are four broad types of converging作者: 組成 時間: 2025-3-27 10:12 作者: 戰(zhàn)役 時間: 2025-3-27 16:17
Coordinated Data Flow Control in IoT Networks,on. For sensors, the data flow is from the physical devices to the cloud. The IoT edge device is responsible for collecting this data and forwarding it to the cloud environment for processing. The time it takes for the data to be made available for processing in the cloud is critical, and the networ作者: 斑駁 時間: 2025-3-27 20:47
A Monitoring System for Distributed Edge Infrastructures with Decentralized Coordination,devices at the network edge. It is a characteristic of the target environment that both, the infrastructure to be monitored and the hosts where the monitoring system runs, change over time, and network partitions may happen. The proposed monitoring system is decentralized, and monitoring servers coo作者: 寒冷 時間: 2025-3-27 23:01
A Container-Driven Approach for Resource Provisioning in Edge-Fog Cloud,the use of the cloud, IoT networks present new challenges because the ever growing number of IoT devices increases the latency of transferring data to central cloud data centers. Edge and fog computing represent practical solutions to counter the huge communication needs between IoT devices and the 作者: Default 時間: 2025-3-28 03:06 作者: 防止 時間: 2025-3-28 10:00
Security-Aware Database Migration Planning,urity risks as well. For some institutions, the primary focus is on reducing the cost of the migration operation, which manifests itself in application testing. For other institutions, minimizing security risks is the most important goal, especially if the data involved is of a sensitive nature. In 作者: Alveoli 時間: 2025-3-28 12:57
9樓作者: 知識分子 時間: 2025-3-28 14:36
10樓作者: Coronary 時間: 2025-3-28 21:54
10樓作者: 蜿蜒而流 時間: 2025-3-29 00:01
10樓作者: 精密 時間: 2025-3-29 04:03
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