Angiogenesis
发表于 2025-3-25 06:10:45
https://doi.org/10.1007/978-94-011-0487-6em that automatically decides on the appropriate amount of resources to be provisioned for each node of the Storm workflow topology based on user-defined performance and cost constraints. ARiSTO employs two mechanisms: a ., model-based one, used at bootstrap time to predict the resource-related para
混合
发表于 2025-3-25 10:32:49
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落叶剂
发表于 2025-3-25 13:52:38
Tight Approximability of the Server Allocation Problem for Real-Time Applicationsrithm. When we assume the triangle inequality only among servers, we propose a polynomial-time 2-approximation algorithm. Both of the algorithms are tight in the sense that we cannot obtain better polynomial-time approximation algorithms unless . = .. Furthermore, we evaluate the practical performan
BALK
发表于 2025-3-25 16:19:57
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尊重
发表于 2025-3-25 20:59:10
Automatic Scaling of Resources in a Storm Topologyem that automatically decides on the appropriate amount of resources to be provisioned for each node of the Storm workflow topology based on user-defined performance and cost constraints. ARiSTO employs two mechanisms: a ., model-based one, used at bootstrap time to predict the resource-related para
恶臭
发表于 2025-3-26 00:33:57
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高兴一回
发表于 2025-3-26 07:54:26
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panorama
发表于 2025-3-26 11:25:26
Service Chain Placement in SDNswork that contains servers with limited processing power and of links with limited bandwidth, a service chain is a sequence of virtual network functions (VNFs) that service a certain flow request in the network. The allocation of a service chain consists of routing and VNF placement, namely each VNF
curriculum
发表于 2025-3-26 14:14:14
Tight Approximability of the Server Allocation Problem for Real-Time Applications a set of users and a set of servers. Then, we consider the following communication process between users and servers. First a user sends his/her request to the nearest server. After receiving all the requests from users, the servers share the requests. A user will then receive the data processed fr
古代
发表于 2025-3-26 17:35:39
Risk Aware Stochastic Placement of Cloud Services: The Case of Two Data Centers much harder due to the dynamic nature of the workload and the fact that while long term statistics about the demand may be known, it is impossible to predict the exact demand in each point in time. As a result, service providers either over allocate resources and hurt the service cost efficiency, o