Research on Segmentation Monitoring Control of IA-RWA Algorithm with Probe Flow

2018 ◽  
Vol 39 (2) ◽  
pp. 231-240
Author(s):  
Danping Ren ◽  
Kun Guo ◽  
Qiuyan Yao ◽  
Jijun Zhao
Keyword(s):  
Large Scale ◽  
Blocking Probability ◽  
Wavelength Assignment ◽  
Accurate Estimation ◽  
Quality Of Data ◽  
Network Resources ◽  
Large Scale Network ◽  
Assignment Algorithm ◽  
Transmission Quality

AbstractThe impairment-aware routing and wavelength assignment algorithm with probe flow (P-IA-RWA) can make an accurate estimation for the transmission quality of the link when the connection request comes. But it also causes some problems. The probe flow data introduced in the P-IA-RWA algorithm can result in the competition for wavelength resources. In order to reduce the competition and the blocking probability of the network, a new P-IA-RWA algorithm with segmentation monitoring-control mechanism (SMC-P-IA-RWA) is proposed. The algorithm would reduce the holding time of network resources for the probe flow. It segments the candidate path suitably for the data transmitting. And the transmission quality of the probe flow sent by the source node will be monitored in the endpoint of each segment. The transmission quality of data can also be monitored, so as to make the appropriate treatment to avoid the unnecessary probe flow. The simulation results show that the proposed SMC-P-IA-RWA algorithm can effectively reduce the blocking probability. It brings a better solution to the competition for resources between the probe flow and the main data to be transferred. And it is more suitable for scheduling control in the large-scale network.

Multi-hop traffic grooming routing and wavelength assignment using split light trail in WDM all optical mesh networks

2021 ◽  
pp. 1-14
Author(s):  
Sampa Rani Bhadra ◽  
Ashok Kumar Pradhan ◽  
Utpal Biswas
Keyword(s):  
Mesh Networks ◽  
Blocking Probability ◽  
Wavelength Assignment ◽  
End User ◽  
Network Resources ◽  
Wdm Network ◽  
Optical Wdm ◽  
All Optical ◽  
User Access ◽  
Optical Mesh Networks

For the last few decades, fiber optic cables not only replaced copper cables but also made drastic evolution in the technology to overcome the optoelectronic bandwidth mismatch. Light trail concept is such an attempt to minimize the optoelectronic bandwidth gap between actual WDM bandwidth and end user access bandwidth. A light trail is an optical bus that connects two nodes of an all optical WDM network. In this paper, we studied the concept of split light trail and proposed an algorithm namely Static Multi-Hop Split Light Trail Assignment (SMSLTA), which aims to minimize blocking probability, the number of static split light trails assigned and also the number of network resources used, at the same time maximizing the network throughput. Our proposed algorithm works competently with the existing algorithms and generates better performance in polynomial time complexity.

scholarly journals Uneven Data Quality and the Earliest Occupation of Europe – The Case of Untermassfeld (Germany)

2017 ◽  
Author(s):  
Wil Roebroeks ◽  
Sabine Gaudzinski-Windheuser ◽  
Michael Baales ◽  
Ralf-Dietrich Kahlke
Keyword(s):  
Large Scale ◽  
Critical Evaluation ◽  
Early Pleistocene ◽  
Middle Pleistocene ◽  
Faunal Remains ◽  
Quality Of Data ◽  
Site Distribution ◽  
Time Period ◽  
Data Points

AbstractThe database regarding the earliest occupation of Europe has increased significantly in quantity and quality of data points over the last two decades, mainly through the addition of new sites as a result of long-term systematic excavations and large-scale prospections of Early and early Middle Pleistocene exposures. The site distribution pattern suggests an ephemeral presence of hominins in the south of Europe from around one million years ago, with occasional short northward expansions along the western coastal areas when temperate conditions permitted. From around 600,000-700,000 years ago Acheulean artefacts appear in Europe and somewhat later hominin presence seems to pick up, with more sites and now some also present in colder climatic settings. It is again only later, around 350,000 years ago, that the first sites show up in more continental, central parts of Europe, east of the Rhine. A series of recent papers on the Early Pleistocene palaeontological site of Untermassfeld (Germany) makes claims that are of great interest for studies of earliest Europe and are at odds with the described pattern: the papers suggest that Untermassfeld has yielded stone tools and humanly modified faunal remains, evidence for a one million years old hominin presence in European continental mid-latitudes, and additional evidence that hominins were well-established in Europe already around that time period. Here we evaluate these claims and demonstrate that these studies are severely flawed in terms of data on provenance of the materials studied and in the interpretation of faunal remains and lithics as testifying to a hominin presence at the site. In actual fact any reference to the Untermassfeld site as an archaeological one is unwarranted. Furthermore, it is not the only European Early Pleistocene site where inferred evidence for hominin presence is problematic. The strength of the spatiotemporal patterns of hominin presence and absence depend on the quality of the data points we work with, and data base maintenance, including critical evaluation of new sites, is crucial to advance our knowledge of the expansions and contractions of hominin ranges during the Pleistocene.

scholarly journals Machine Learning for the Educational Sciences

2021 ◽  
Author(s):  
Sven Hilbert ◽  
Stefan Coors ◽  
Elisabeth Barbara Kraus ◽  
Bernd Bischl ◽  
Mario Frei ◽  
...  
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Decisive Role ◽  
Quality Of Data ◽  
Practical Applications ◽  
Educational Sciences ◽  
Complex Relationships ◽  
The Impact ◽  
Analytical Approaches

Classical statistical methods are limited in the analysis of highdimensional datasets. Machine learning (ML) provides a powerful framework for prediction by using complex relationships, often encountered in modern data with a large number of variables, cases and potentially non-linear effects. ML has turned into one of the most influential analytical approaches of this millennium and has recently become popular in the behavioral and social sciences. The impact of ML methods on research and practical applications in the educational sciences is still limited, but continuously grows as larger and more complex datasets become available through massive open online courses (MOOCs) and large scale investigations.The educational sciences are at a crucial pivot point, because of the anticipated impact ML methods hold for the field. Here, we review the opportunities and challenges of ML for the educational sciences, show how a look at related disciplines can help learning from their experiences, and argue for a philosophical shift in model evaluation. We demonstrate how the overall quality of data analysis in educational research can benefit from these methods and show how ML can play a decisive role in the validation of empirical models. In this review, we (1) provide an overview of the types of data suitable for ML, (2) give practical advice for the application of ML methods, and (3) show how ML-based tools and applications can be used to enhance the quality of education. Additionally we provide practical R code with exemplary analyses, available at https: //osf.io/ntre9/?view only=d29ae7cf59d34e8293f4c6bbde3e4ab2.

scholarly journals MinION Analysis and Reference Consortium: Phase 1 data release and analysis

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 1075 ◽  
Author(s):  
Camilla L.C. Ip ◽  
Matthew Loose ◽  
John R. Tyson ◽  
Mariateresa de Cesare ◽  
Bonnie L. Brown ◽  
...  
Keyword(s):  
Large Scale ◽  
Phase 1 ◽  
Public Access ◽  
Quality Of Data ◽  
E Coli ◽  
Oxford Nanopore ◽  
Access Programme ◽  
K 12 ◽  
Consistency Rate

The advent of a miniaturized DNA sequencing device with a high-throughput contextual sequencing capability embodies the next generation of large scale sequencing tools. The MinION™ Access Programme (MAP) was initiated by Oxford Nanopore Technologies™ in April 2014, giving public access to their USB-attached miniature sequencing device. The MinION Analysis and Reference Consortium (MARC) was formed by a subset of MAP participants, with the aim of evaluating and providing standard protocols and reference data to the community. Envisaged as a multi-phased project, this study provides the global community with the Phase 1 data from MARC, where the reproducibility of the performance of the MinION was evaluated at multiple sites. Five laboratories on two continents generated data using a control strain of Escherichia coli K-12, preparing and sequencing samples according to a revised ONT protocol. Here, we provide the details of the protocol used, along with a preliminary analysis of the characteristics of typical runs including the consistency, rate, volume and quality of data produced. Further analysis of the Phase 1 data presented here, and additional experiments in Phase 2 of E. coli from MARC are already underway to identify ways to improve and enhance MinION performance.

scholarly journals Wireless LAN Service Quality Optimization in Academic Environments

2017 ◽  
Vol 11 (10) ◽  
pp. 166
Author(s):  
Moses E. Ekpenyong ◽  
Uduak A. Umoh ◽  
Udoinyang G. Inyang ◽  
Aniekpeno M. Jackson
Keyword(s):  
Service Quality ◽  
Test Data ◽  
Wireless Lan ◽  
Accurate Estimation ◽  
Self Organizing Map ◽  
Quality Of Data ◽  
Inference System ◽  
Perceived Performance ◽  
Expected Performance

This paper targets optimized service quality (SQ) – a metric that compares the perceived performance by users with the expected performance – sufficient to satisfy users’ quality of experience (QoE). The perceived performance was obtained in a field survey from an academic environment, and using Interval Type-2 Fuzzy Logic (IT2FL), uncertainties inherent in the field data were efficiently modeled for accurate estimation of the SQ. To obtain the expected performance, two unsupervised tools: the Principal Component Analysis (PCA) and Self-organizing Map (SOM) were exploited to abstract the most relevant features, and observe similarity patterns between the abstract features. An Adaptive Neuro-Fuzzy Inference System (ANFIS) was then used to optimize the system performance. Results obtained showed that ANFIS sufficiently optimized and modeled the SQ – as the root mean square error (RMSE) values of the train and test data were approximately the same – for all the study sites considered. However, combining the three campuses produced the least mean absolute error (MAE) of 0.0979 for train data, and the highest MAE of 0.7345 for test data. Further, the least MAE of 0.4707 for test data was obtained from town campus Annex. The wide variation in MAE observed in the train and test data might not be unconnected with the high degree of uncertainties associated with interference, site topology and terrain issues – exhibited by the system under study, as well as the quality of data collected. The proposed system framework has the potentials to develop into a complete location-based system.

Waveband Switching

2014 ◽  
pp. 195-217
Author(s):  
Yang Wang ◽  
Vishal Anand ◽  
Xiaojun Cao
Keyword(s):  
Blocking Probability ◽  
Adaptive Routing ◽  
Wavelength Assignment ◽  
Optimization Techniques ◽  
Superior Performance ◽  
Dynamic Graph ◽  
Blocking Probabilities ◽  
Assignment Algorithm ◽  
Online Traffic ◽  
Cross Connect

In this chapter, the authors describe and review some of the recent research on WBS, including Multi-Granular optical cross-connect (MG-OXC) architectures that can switch traffic at different granularities. The authors focus on the dynamic online WBS problem, and describe and analyze two reconfigurable MG-OXC architectures in terms of their port count and blocking probabilities. Based on the analyses, the authors then propose a novel dynamic graph-based waveband assignment algorithm in conjunction with adaptive routing. The proposed algorithm employs ant optimization techniques to reduce ports and blocking probability in the network with online traffic in a distributed manner. The authors use simulation experiments to evaluate the effectiveness of the authors’ approach under various parameters such as varying number of ants, varying the number of routes and the wavelength assignment algorithm. The authors’ simulation results show that their graph-based waveband assignment algorithm combined with adaptive routing can achieve a superior performance when compared to other schemes. Furthermore, the authors’ studies shows that even with limited resources, WBS can achieve a low blocking probability and port savings.

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