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Titlebook: Service-Oriented and Cloud Computing; 5th IFIP WG 2.14 Eur Marco Aiello,Einar Broch Johnsen,Ilche Georgievski Conference proceedings 2016 I

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樓主: Hermit
11#
發(fā)表于 2025-3-23 10:57:11 | 只看該作者
aard’s philosophy has to face. In effect, it can be argued that only provisionally can anxiety (dread in some translations of Kierkegaard’s works) be considered a pivotal concept in Kierkegaard’s thought, since to treat anxiety as a concept proper would amount to failing to acknowledge its ‘a(chǎn)bysmal’
12#
發(fā)表于 2025-3-23 16:41:56 | 只看該作者
Conference proceedings 2016tria, in September 2016..The 16 full papers?presented were carefully reviewed and selected from 33?submissions. The papers are organized in topical sections on policies and performance, adaptation, SLA-aware services, job placement, compositionality, and fault tolerance..
13#
發(fā)表于 2025-3-23 19:40:45 | 只看該作者
978-3-319-44481-9IFIP International Federation for Information Processing 2016
14#
發(fā)表于 2025-3-24 01:03:06 | 只看該作者
15#
發(fā)表于 2025-3-24 04:44:27 | 只看該作者
Marco Aiello,Einar Broch Johnsen,Ilche GeorgievskiIncludes supplementary material:
16#
發(fā)表于 2025-3-24 09:45:28 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/865682.jpg
17#
發(fā)表于 2025-3-24 14:04:50 | 只看該作者
https://doi.org/10.1007/978-3-319-44482-6business information systems; cloud computing; formal methods; information retrieval; service compositio
18#
發(fā)表于 2025-3-24 18:29:00 | 只看該作者
0302-9743 Computing, ESOCC 2016, held in?Vienna, Austria, in September 2016..The 16 full papers?presented were carefully reviewed and selected from 33?submissions. The papers are organized in topical sections on policies and performance, adaptation, SLA-aware services, job placement, compositionality, and fa
19#
發(fā)表于 2025-3-24 21:32:14 | 只看該作者
20#
發(fā)表于 2025-3-25 00:56:00 | 只看該作者
vmBBThrPred: A Black-Box Throughput Predictor for Virtual Machines in Cloud Environments demand. In such complex environments, guaranteeing throughput of Virtual Machines (VMs) is crucial to minimize performance degradation for all applications. vmBBThrPred, our novel approach in this work, is an application-oblivious approach to predict performance of virtualized applications based on
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