NetCruiser: Localize Network Failures by Learning from Latency Data

2020 ◽  
Author(s):  
Haoshi Ren ◽  
Lihai Nie ◽  
Hongyun Gao ◽  
Laiping Zhao ◽  
Jianchao Diao
Keyword(s):  
Latency Data ◽  
Network Failures

scholarly journals Librarians participation in professional development workshops using Zoom in Nigeria

2021 ◽  
pp. 026666692110267
Author(s):  
Ifeanyi Adindu Anene ◽  
Victor Okeoghene Idiedo
Keyword(s):  
Professional Development ◽  
Teaching And Learning ◽  
Survey Method ◽  
Online Questionnaire ◽  
Power Outage ◽  
Network Failures ◽  
Zoom In

The purpose of this study is to investigate the extent to which librarians in Nigeria engaged in professional development workshops during the COVID-19 era. The study adopted a survey method using an online questionnaire. Factors such as saving money, the free nature of workshops, eliminating travel risk, in the comfort of the home, and providing an opportunity for all were mentioned as the benefits of participating in online workshops using Zoom. Buying data bundle, lack of computer/Android phone/smartphone, ignorance or lack of awareness of up-coming workshops, lack of time, power outage, nonchalant attitude towards technology, and network failures were identified as challenges of participation. The Zoom platform can be adopted for organizing workshops and meetings, and for teaching and learning in the post COVID-19 era.

scholarly journals Updating Data-Center Network With Ultra-Low Latency Data Plane

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 2134-2144 ◽  
Author(s):  
Chengyuan Huang ◽  
Jiao Zhang ◽  
Tao Huang
Keyword(s):  
Data Center ◽  
Low Latency ◽  
Data Center Network ◽  
Latency Data ◽  
Data Plane

Low-latency data analysis for the spherical detector Mario Schenberg

2014 ◽  
Vol 31 (8) ◽  
pp. 085012 ◽  
Author(s):  
Carlos Filipe Da Silva Costa ◽  
César Augusto Costa ◽  
Odylio Denys Aguiar
Keyword(s):  
Data Analysis ◽  
Low Latency ◽  
Latency Data ◽  
Spherical Detector

Brokerage and Boots on the Ground: Complements or Substitutes in the Manufacturing Extension Partnerships?

2018 ◽  
Vol 32 (4) ◽  
pp. 288-299 ◽  
Author(s):  
Philipp Brandt ◽  
Andrew Schrank ◽  
Josh Whitford
Keyword(s):  
Optimal Design ◽  
Service Delivery ◽  
Administrative Data ◽  
Third Party ◽  
Advisory Services ◽  
Street Level ◽  
Direct Delivery ◽  
Network Failures ◽  
Street Level Bureaucrats

There is more agreement on the need for advisory services to help small and midsized manufacturers keep up with the latest managerial techniques and technologies than there is on the optimal design of those services. This study reconfigures and reanalyzes administrative data from the American Manufacturing Extension Partnership, and draws on extensive interviews with “street-level bureaucrats” at Manufacturing Extension Partnership centers, to identify and compare variation in centers’ approaches to service delivery. Centers and clients who rely on third-party providers tend to have more rather than less enduring ties, suggesting that it’s direct delivery, rather than brokerage, that is associated with one-shot deals. There is evidence also that projects generate the most impact when they help “get the relationships right” and mitigate network failures.

Network failures support for traffic monitoring mechanisms in software-defined networks

2016 ◽  
Author(s):  
Adrian Flores de la Cruz ◽  
Juan Pedro Munoz-Gea ◽  
Pilar Manzanares-Lopez ◽  
Josemaria Malgosa-Sanahuja
Keyword(s):  
Traffic Monitoring ◽  
Software Defined Networks ◽  
Network Failures

Towards cost-effective and low latency data center network architecture

2016 ◽  
Vol 82 ◽  
pp. 1-12 ◽  
Author(s):  
Ting Wang ◽  
Zhiyang Su ◽  
Yu Xia ◽  
Bo Qin ◽  
Mounir Hamdi
Keyword(s):  
Data Center ◽  
Network Architecture ◽  
Cost Effective ◽  
Low Latency ◽  
Data Center Network ◽  
Latency Data

NVLSM: A Persistent Memory Key-Value Store Using Log-Structured Merge Tree with Accumulative Compaction

2021 ◽  
Vol 17 (3) ◽  
pp. 1-26
Author(s):  
Baoquan Zhang ◽  
David H. C. Du
Keyword(s):  
Computer Systems ◽  
Memory Storage ◽  
Low Latency ◽  
Latency Data ◽  
Persistent Memory ◽  
Write Amplification ◽  
Non Volatile Memory ◽  
Data Persistence ◽  
Average Latency ◽  
Volatile Memory

Computer systems utilizing byte-addressable Non-Volatile Memory ( NVM ) as memory/storage can provide low-latency data persistence. The widely used key-value stores using Log-Structured Merge Tree ( LSM-Tree ) are still beneficial for NVM systems in aspects of the space and write efficiency. However, the significant write amplification introduced by the leveled compaction of LSM-Tree degrades the write performance of the key-value store and shortens the lifetime of the NVM devices. The existing studies propose new compaction methods to reduce write amplification. Unfortunately, they result in a relatively large read amplification. In this article, we propose NVLSM, a key-value store for NVM systems using LSM-Tree with new accumulative compaction. By fully utilizing the byte-addressability of NVM, accumulative compaction uses pointers to accumulate data into multiple floors in a logically sorted run to reduce the number of compactions required. We have also proposed a cascading searching scheme for reads among the multiple floors to reduce read amplification. Therefore, NVLSM reduces write amplification with small increases in read amplification. We compare NVLSM with key-value stores using LSM-Tree with two other compaction methods: leveled compaction and fragmented compaction. Our evaluations show that NVLSM reduces write amplification by up to 67% compared with LSM-Tree using leveled compaction without significantly increasing the read amplification. In write-intensive workloads, NVLSM reduces the average latency by 15.73%–41.2% compared to other key-value stores.

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