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Titlebook: Algorithmic Aspects of Cloud Computing; Second International Timos Sellis,Konstantinos Oikonomou Conference proceedings 2017 Springer Inter

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樓主: decoction
21#
發(fā)表于 2025-3-25 04:06:13 | 只看該作者
Density Evolution Under Delayed Dynamicshe set of edges and .. The main challenge posed by this formulation is that problems that are relatively easy to solve in exact graphs become very difficult (or even intractable) in probabilistic graphs. In this paper, we perform an overview of the algorithmic techniques proposed in the literature f
22#
發(fā)表于 2025-3-25 11:07:50 | 只看該作者
23#
發(fā)表于 2025-3-25 15:13:23 | 只看該作者
NSM-Tree: Efficient Indexing on Top of NoSQL Databases, smartphones, mapping devices, etc.). The volume of the data derived by such services, grows exponentially and conventional databases tend to be ineffective in storing and indexing them efficiently. Ultimately, we need to turn to scalable solutions and methods using the NoSQL database model. Quite
24#
發(fā)表于 2025-3-25 19:45:20 | 只看該作者
25#
發(fā)表于 2025-3-25 21:43:58 | 只看該作者
26#
發(fā)表于 2025-3-26 03:55:33 | 只看該作者
A Cloud-Based Time-Dependent Routing Servicesmart cities. We describe the architecture of the time-dependent routing engine, consisting of a core routing module along with the so-called urban-traffic knowledge base, which creates, maintains and stores historic traffic data, as well as live traffic updates such as road blockages or unforeseen
27#
發(fā)表于 2025-3-26 06:19:13 | 只看該作者
28#
發(fā)表于 2025-3-26 09:19:17 | 只看該作者
Mining Uncertain Graphs: An Overviewation that most of the “killer” applications require a graph-based representation (e.g., the Web, social network management, protein-protein interaction networks), efficient query processing and analysis techniques are required, not only because these graphs are massive but also because the operatio
29#
發(fā)表于 2025-3-26 15:54:08 | 只看該作者
Recovering from Cloud Application Deployment Failures Through Re-execution infrastructures, attributed to the complexity of the software and hardware stacks utilized. These errors affect cloud application deployment, forcing the users to manually check and intervene in the deployment process. To address this challenge, we propose a simple yet powerful deployment methodolo
30#
發(fā)表于 2025-3-26 19:54:44 | 只看該作者
Fair, Fast and Frugal Large-Scale Matchmaking for VM Placementry over time and circumstances. However, current resource management practices are either statically bound to specific policies or unilaterally favor the needs of Cloud operators. In this paper we argue for a flexible and democratic mechanism to map virtual to physical resources, trying to balance s
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