hashFS: Applying Hashing to Optimize File Systems for Small File Reads

Author(s):  
Paul Lensing ◽  
Dirk Meister ◽  
André Brinkmann
Keyword(s):  
Author(s):  
Philip Carns ◽  
Sam Lang ◽  
Robert Ross ◽  
Murali Vilayannur ◽  
Julian Kunkel ◽  
...  

2018 ◽  
Vol 7 (2.6) ◽  
pp. 221
Author(s):  
O Achandair ◽  
S Bourekkadi ◽  
E Elmahouti ◽  
S Khoulji ◽  
M L. Kerkeb

Hadoop Distributed File System (HDFS) is designed to reliably store very large files across machines in a large cluster. It is one of the most used distributed file systems and offer a high availability and scalability on low-cost hardware. All Hadoopframework have HDFS as their storage component. Coupled with map reduce, which is the processing component, HDFS and Map Reduce (a processing component) have become the standard platforms for any management of big data in these days. HDFS however, in terms of design has the ability to handle huge numbers of large files,  but when it comes to its deployments to handle large amounts of small files it might not be very effective. This paper puts forward a new strategy of managing small files. The approach will consists of two principal phases. The first phase will deal with the consolidating of aaclients input files, storing it continuously in a particular allocated block, that is a SequenceFile format, and so on into the next blocks. In this way we avoid the use of multiple block allocations for different streams, this reduces calls for available blocks and also reduces the metadata memory on the NameNode. Note the reason for this is that groups of small files packaged in a SequenceFile on the same block require one entry instead of one of each small file. The second phase will involve analyzing the attributes of stored small files so they can be distributed them in a way that the most called files will be referenced by an additional index as a MapFile format to reduce the read throughput during random access. 


Author(s):  
L.S. Priyanka ◽  
Lakshmi Nidhi Rao ◽  
Aditya Shetty ◽  
Mithra N. Hegde ◽  
Chitharanjan Shetty

Abstract Introduction The outcomes of oral health conditions and therapy for those conditions are described by the term “oral health-related quality of life.” Oral health-related quality of life is recognized by the World Health Organization as an important part of the Global Oral Health Program. The study aims to compare the impact of three root canal preparation systems on patients’ quality of life and correlate postoperative pain with the impact on the quality of life. Materials and Methods A survey was performed in which 90 patients were randomly assigned to three groups based on the root canal preparation system: (1) ProTaper Gold (Dentsply, Tulsa Dental Specialties, Tulsa, Oklahoma, United States), (2) Neoendo flex (Neoendo, India),and (3) Hyflex EDM/CM (Coltene Whaledent) that included 30 participants in each group. Data collection included the implementation of a demographic data questionnaire, Oral Health Impact Profile 14 (quality of life), and visual analogue scale(pain). The questionnaire was given after root canal treatment in the first 24 hours. The data obtained were statistically analyzed. Results No significant differences were found in the quality of life among study groups. Group 1 demonstrated a highly significant difference in the postoperative pain with p value of 2.67. Conclusion Within the limitations of the present study, Protaper Gold showed a highly significant difference in postoperative pain when compared with other file systems. No significant differences were found in the quality of life among the study groups.


Author(s):  
Chen Chen ◽  
Tongliang Deng ◽  
Jian Zhang ◽  
Yanliang Zou ◽  
Xiaomin Zhu ◽  
...  
Keyword(s):  

Author(s):  
Mahmoud Ismail ◽  
Salman Niazi ◽  
Mauritz Sundell ◽  
Mikael Ronstrom ◽  
Seif Haridi ◽  
...  
Keyword(s):  

2017 ◽  
Vol 60 (4) ◽  
pp. 74-74
Author(s):  
Gernot Heiser
Keyword(s):  

2014 ◽  
Vol 48 (1) ◽  
pp. 58-64 ◽  
Author(s):  
Gabriele Keller ◽  
Toby Murray ◽  
Sidney Amani ◽  
Liam O'Connor ◽  
Zilin Chen ◽  
...  
Keyword(s):  

2017 ◽  
Vol 28 (11) ◽  
pp. 3272-3285 ◽  
Author(s):  
Zujie Ren ◽  
Weisong Shi ◽  
Jian Wan ◽  
Feng Cao ◽  
Jiangbin Lin
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document