Data center networks
Coflow scheduling in data center networks
... Modern data analysis tools such as MapReduce consist of multiple stages of compu- tation, each of which utilizes services of a large number of ...on data center networks (DCNs) depend on the ...
105
Collaborative Traffic Measurement in Virtualized Data Center Networks
... b) Optimizing network measurement tools: Performing measurement operations in large networks is a complex task. In [13], [14], the authors use mathematical programming to optimize the placement [14] and packet ...
7
Application-Aware Bandwidth Scheduling for Data Center Networks
... V. NETWORKS OF M OBILE P ROACTIVE E NGINES MPEs are designed to work both offline and ...exchange data provides a great opportunity for these systems to gain useful ...gathering data from their ...
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Prioritized Adaptive Max-Min Fair Residual Bandwidth Allocation for Software-Defined Data Center Networks
... Best Fit Algorithm Besides saving energy, a data center should to take measures to fulfill all Service-Level Agreement SLA requirements, including virtual machine placement ratio which i[r] ...
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When Network Matters: Data Center Scheduling with Network Tasks
... simple networks such as a set of machines connected via a bus by using a model with a single network machine or connected via an antenna (WiFi, 4G, ...complex networks can be represented. Data ...
10
VDC Planner: Dynamic Migration-Aware Virtual Data Center Embedding for Clouds
... Virtual Data Centers ...and data center networks to multiple VDCs in order to optimize total revenue, while minimizing the total energy consumption in the data ...
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On Tackling Virtual Data Center Embedding Problem
... Abstract—Virtualizing data center networks has been con- sidered a feasible alternative to satisfy the requirements of advanced cloud ...virtual data center (VDC) resources to their ...
9
Online Robust Placement of Service Chains for Large Data Center Topologies
... large data center networks – up to 30,528 nodes – to assess the feasibility of our proposition in very large-scale data ...the data center is sufficiently provisioned, our ...
16
Data center optical networks : short- and long-term solutions
... as data center networks, traffic between end-to-end nodes (servers in this case) is bursty and fastly varying, presenting connec- tions requiring typically less than the channel/wavelength ...EPS ...
180
Data center interconnection networks are not hyperbolic
... for data center networks have been proposed in the literature through various graph classes and ...interconnection networks because it minimizes congestion problems and it allows each entity ...
24
Green IT scheduling for data center powered with renewable energy
... of data centers has become more and more impor-tant, and several studies raised the possibility of using renewable energy to power ...a data center simulator, and evaluated it by considering a ...
24
Integrating Pre-Cooling of Data Center operated with Renewable Energies
... Fig. 2. Thermal behavior and power consumption of the data center with naive pre-cooling heuristic. Figure 2 shows the results with the naive heuristic for the cooling control in the same conditions as in ...
11
Protecting Data Privacy in Structured P2P Networks
... of data. Protected data are encrypted and access control is based on two types of restrictions: reader and writer ...private data access by adding the notion of ...with data privacy protection ...
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Reconstruction of gene regulation networks from microarray data by Bayesian networks
... regulation networks from the microarray experiments data by Bayesian networks ...patient data, one with treatment (drugs), other without ...
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Modeling Data Center Building Blocks for Energy-efficiency and Thermal Simulations
... commercial data center modeling tools is that they use closed limited databases of data center ...build data centers. They contain details of data center components and ...
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Energy Proportionality in Heterogeneous Data Center Supporting Applications with Variable Load
... Final step: Computing Ideal BML Combination Algorithm 3 details the function that computes the ideal machine combinations and their corresponding power consumption in order to achieve a [r] ...
9
Learning possibilistic networks from data: a survey.
... possibilistic networks, machine learning ...from data but most of the proposed methods are relative to prob- abilistic ...Bayesian networks [1] have been widely studied and used in real ap- ...
9
Capsule Networks against Medical Imaging Data Challenges
... we have per class, we compute the margin loss like [10] and attach a decoder to reconstruct the input image. Details are summarized in Table 1. Implementation. The networks were trained on a Linux-based system, ...
11
2017 — Modeling end user performance perspective for cloud computing systems using data center logs from big data technology
... the data repositories and processors should be included in order to actually measure (or try to measure as accurately as possible) the end user's perceived performance when using the information system? One of the ...
163
SEmantic Networks of Data: Utility and Privacy
... sensitive data An individual or company may have legitimate motivations to query a database it does not own, but preventing illegiti- mate access to private information while allowing legitimate database usage is ...
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