Cloud Security: The Future of Data Storage

2021 ◽  
pp. 87-98
Author(s):  
Parv Bajaj ◽  
Ritika Arora ◽  
Mehak Khurana ◽  
Shilpa Mahajan
Keyword(s):  
Data Storage ◽  
Cloud Security ◽  
The Future

scholarly journals A data caching model for Tier 2 WLCG computing centres using XCache

2019 ◽  
Vol 214 ◽  
pp. 04047
Author(s):  
Teng Li ◽  
Robert Currie ◽  
Andrew Washbrook
Keyword(s):  
Data Storage ◽  
Future Development ◽  
Data Cache ◽  
Data Streaming ◽  
Tier 2 ◽  
Data Caching ◽  
Latency Reduction ◽  
The Future ◽  
Network Usage ◽  
Tier 3

As the WLCG continues to consolidate the data storage resources to reduce maintaining costs, more storage elements will be decommissioned or federated in the future. In both cases data streaming would become a common method for data accessing in many LHC Tier 2 and Tier 3 computing centres which makes it vital to optimise the network usage (i.e. latency reduction and bandwidth utilisation). Consequently, the data cache service sits closely to the computing resources becomes a desirable tool. In this paper we discuss how to setup a XCache server at an example WLCG Tier 2 site (Edinburgh) and use the ATLAS analysis queue as a testbed to study the data caching performance. The results could be used to guide the future development to make the caching server more effective.

scholarly journals Badminton Field Booking Application in the Sidoarjo Region based on Android

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Rengga Lauddipa ◽  
Mohammad Suryawinata
Keyword(s):  
Data Storage ◽  
Programming Language ◽  
Quality Standards ◽  
Black Box ◽  
Java Programming ◽  
Testing Method ◽  
Black Box Testing ◽  
The Creation ◽  
To Come ◽  
Questionnaire Method

In sidoarjo area more and more badminton court rental with quality standards that make fans play badminton more and more. in booking badminton courts still use a manual system. Then it takes innovation in technology to help in booking badminton courts. In the creation of the application using waterfall method so that the creation of the application can be completed according to the planning so as to produce the appropriate application. Implementation of the results of the study using android studio software using java programming language and using firebase database as data storage in the application in realtime. Badminton court booking application based on android can provide user convenience in booking badminton court does not have to come to the field. The application has been tested using the black box testing method on all features of the application shows a percentage of 100% so that arguably the application runs well. Similarly, can be seen in the test using the likert scale questionnaire method for UAT results get a result of 85%.

Spintronics: The Future of Data Storage?

MRS Bulletin ◽  
2006 ◽  
Vol 31 (5) ◽  
pp. 400-403 ◽  
Author(s):  
S.A. Wolf ◽  
Daryl Treger ◽  
Almadena Chtchelkanova
Keyword(s):  
Data Storage ◽  
The Past ◽  
The Future

AbstractReasearch and technology developments in the field of spintronics have grown tremendously in the past 10-15 years and already have had a major impact on the data storage industry.The future looks even brighter, as many new spintronic discoveries have been recently made that promise an even bigger impact in the future.This article summarizes the past accomplishments, describes some of the major discoveries that will have a lasting impact on the field, and discusses some of the technologies that may revolutionize data storage in the next decade.

Cross-Industry Use of Blockchain Technology and Opportunities for the Future

2020 ◽  
pp. 64-79
Author(s):  
Dhanalakshmi Senthilkumar
Keyword(s):  
Artificial Intelligence ◽  
Data Storage ◽  
Data Input ◽  
Artificial Intelligence Techniques ◽  
Disruptive Technologies ◽  
Blockchain Technology ◽  
Multiple Data ◽  
The Future ◽  
Multiple Domains

Blockchain and artificial intelligence are two disruptive technologies in the today's world; Blockchain can connect data storage and data users from multiple domains, and different kinds of analytics applications run on top of the data in artificial intelligence techniques. So that Blockchain technology provide the excellent backbone for the development of artificial intelligence algorithms, it is useful to secure the data input from multiple data storage locations and to have whatever applications running on top of the data in a Blockchain visible to everyone. The concept of Blockchain technology and artificial intelligence techniques together develop interesting uses cases and nice applications. When paired with Blockchains, AI is better understood by humans, operates more efficiently, and the blockchains in general more efficiently. AI and Blockchain together support B2B environment and getting better outcomes.

Pengujian Black Box pada Aplikasi Sistem Informasi Akademik Menggunakan Teknik Equivalence Partitioning

2020 ◽  
Vol 5 (1) ◽  
pp. 19
Author(s):  
Dwi Bahar Muslimin ◽  
Dwi Kusmanto ◽  
Karina Femi Amilia ◽  
Muhammad Syamsul Ariffin ◽  
Siti Mardiana ◽  
...  
Keyword(s):  
Information System ◽  
Black Box ◽  
System Software ◽  
School Activities ◽  
Academic Management ◽  
The Future ◽  
Data Search ◽  
Box Method ◽  
Academic Information ◽  
Partitioning Technique

The purpose of this study is to assist MTS Al-Hidayah in school academic management which is focused on school info, lesson schedules, school activities, facilitating data search, and producing accurate reports. In the academic information system at the school there are still many shortcomings when validating the data to be entered, so that it can cause the data stored in the database to be incompatible with the expected data. So it is proposed testing using the Black Box method based on Equivalence Partitioning as a whole regarding the use, benefits, and results obtained from the useof the software. Equivalence Partitioning Technique that discusses testing in the aspect of validation enter seen from a valid class. The results of this study can be concluded that the results of testing the accuracy of the school information system software at MTS Al-Hidayah will provide the best solution for the school for the future.The purpose of this study is to assist MTS Al-Hidayah in school academic management which is focused on school info, lesson schedules, school activities, facilitating data search, and producing accurate reports. In the academic information system at the school there are still many shortcomings when validating the data to be entered, so that it can cause the data stored in the database to be incompatible with the expected data. So it is proposed testing using the Black Box method based on Equivalence Partitioning as a whole regarding the use, benefits, and results obtained from the useof the software. Equivalence Partitioning Technique that discusses testing in the aspect of validation enter seen from a valid class. The results of this study can be concluded that the results of testing the accuracy of the school information system software at MTS Al-Hidayah will provide the best solution for the school for the future.

ChemInform Abstract: The Future of Magnetic Data Storage Technology

ChemInform ◽  
2000 ◽  
Vol 31 (42) ◽  
pp. no-no ◽  
Author(s):  
D. A. Thompson ◽  
J. S. Best
Keyword(s):  
Data Storage ◽  
Magnetic Data Storage ◽  
Magnetic Data ◽  
Storage Technology ◽  
The Future

scholarly journals FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Umberto Ferraro Petrillo ◽  
Francesco Palini ◽  
Giuseppe Cattaneo ◽  
Raffaele Giancarlo
Keyword(s):  
Data Storage ◽  
File System ◽  
Genomic Data ◽  
Space And Time ◽  
Data Production ◽  
The Future ◽  
Big Data Technologies ◽  
Time Savings ◽  
Compressed Data ◽  
Spark Framework

Abstract Background Storage of genomic data is a major cost for the Life Sciences, effectively addressed via specialized data compression methods. For the same reasons of abundance in data production, the use of Big Data technologies is seen as the future for genomic data storage and processing, with MapReduce-Hadoop as leaders. Somewhat surprisingly, none of the specialized FASTA/Q compressors is available within Hadoop. Indeed, their deployment there is not exactly immediate. Such a State of the Art is problematic. Results We provide major advances in two different directions. Methodologically, we propose two general methods, with the corresponding software, that make very easy to deploy a specialized FASTA/Q compressor within MapReduce-Hadoop for processing files stored on the distributed Hadoop File System, with very little knowledge of Hadoop. Practically, we provide evidence that the deployment of those specialized compressors within Hadoop, not available so far, results in better space savings, and even in better execution times over compressed data, with respect to the use of generic compressors available in Hadoop, in particular for FASTQ files. Finally, we observe that these results hold also for the Apache Spark framework, when used to process FASTA/Q files stored on the Hadoop File System. Conclusions Our Methods and the corresponding software substantially contribute to achieve space and time savings for the storage and processing of FASTA/Q files in Hadoop and Spark. Being our approach general, it is very likely that it can be applied also to FASTA/Q compression methods that will appear in the future. Availability The software and the datasets are available at https://github.com/fpalini/fastdoopc

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