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Massive-scale data management using standards-based solutions
16th IEEE Symposium on Mass Storage Systems in cooperation with the 7th NASA Goddard Conference on Mass Storage Systems and Technologies (Cat. No.99CB37098)
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Coupled to the data management solution is a complete data analysis environment. ...
Finally, we discuss the extent to which we have succeeded in our goal of using commodity solutions and the advantages of a database, as opposed to a file-based, approach for the management of vast volumes ...
Conclusions A powerful, modern data management and analysis environment has been built out of a small number of widely used, standards-based commercial solutions, coupled with a small amount of application-specific ...
doi:10.1109/mass.1999.829965
dblp:conf/mss/Shiers99
fatcat:dhbiqqzbbbbx5h7niw4rffrjhm
Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems
[article]
2020
arXiv
pre-print
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Finally, it provides a conceptual data-driven RMS model for DCS and presents the two real-time use cases (GPU frequency scaling and data centre resource management from Google Cloud and Microsoft Azure ...
In this regard, this paper aims to draw the motivations and necessities for data-driven solutions in resource management. ...
Simple analytical solutions and standard GPU frequency scaling heuristics fail to capture these intricacies and scale the frequencies appropriately. ...
arXiv:2006.05075v2
fatcat:tck54mz4yff3deesetflj34wke
The Maturing Semantic Web: Lessons in Web-Scale Knowledge Representation
[chapter]
2009
Lecture Notes in Computer Science
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revolution in the way we think of data, crowds, and schemas
-Massive, partial, participatory, logically weak, dynamic, schema-last
-A way to democratize and scale knowledge bases and knowledge systems ...
newer problem type -Business exploitation of structured enterprise data (RDBMS, Spreadsheet, ERP data)• Backwards to Data Management to reduce cost of managing, migrating, integrating • Forwards to Business ...
doi:10.1007/978-3-642-03079-6_1
fatcat:bgkvdqaj3ndrtmz56qwqi4mbse
Page 5 of Educause Quarterly : EQ Vol. 11, Issue 1
[page]
1988
Educause Quarterly : EQ
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
The need for and complexity of this job in a large-scale environment should not be underestimated.
4) What about connectivity standards? The need for network standards is a Critical management issue. ...
If the need is for frequent access to massive institutional data bases, for long file transfers, or for fast, interactive operations, a mini- computer- or mainframe-based network is the best choice. ...
5G Internet of Things: A survey
2018
Journal of Industrial Information Integration
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The existing IoT solutions are facing a number of challenges such as large number of conneciton of nodes, security, and new standards. ...
The existing 4G networks have been widely used in the Internet of Things (IoT) and is continuously evolving to match the needs of the future Internet of Things (IoT) applications. ...
To guarantee the QoS for devices in 5G-IoT, a number of Het-Net solutions have been proposed: a Massive MIMO based Hetnet has been developed in [46] to build a large-scale MIMO link for backhauling. ...
doi:10.1016/j.jii.2018.01.005
fatcat:wst2mrwbpjgxvdqqig3yj4ofum
Construction of multi-scale grid for massive land survey data
2020
E3S Web of Conferences
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Based on the simple and widely used geographic grid data organization model, this paper designs a technical method to convert vector data into multi-scale grid data, establishes a unified, standardized ...
In the face of ever-growing and complex massive multi-source spatiotemporal data, the traditional vector data model is increasingly difficult to meet the needs of efficient data organization, management ...
Based on the standardized geographic graticule, this paper constructs a multi-scale land spatial grid system on the land survey data, to provide a solution and base map for multi-source spatial data fusion ...
doi:10.1051/e3sconf/202020603018
fatcat:2bztqngerffr7frwrsatara5ki
The Role of Blockchain in 6G: Challenges, Opportunities and Research Directions
2020
2020 2nd 6G Wireless Summit (6G SUMMIT)
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Reality (VR), holographic communications, and massive Machine Type Communications (mMTC). ...
The blockchain and distributed ledger technology is one of the most disruptive technology enablers to address most of the current limitations and facilitate the functional standards of 6G. ...
Such massive scale trusted sensing and data sharing solutions enabled by blockchains are crucial for environmental monitoring [2] . ...
doi:10.1109/6gsummit49458.2020.9083784
dblp:conf/6gsummit/HewaGKYBL20
fatcat:pdzy365255dbxcgp4ngxthu6qi
A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges
2018
IEEE Access
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In addition, the third generation partnership project cellular-based low-power wide area solutions to support and enable the new service requirements for Massive to Critical IoT use cases are discussed ...
More recent cellular standards like long-term evolution (LTE) have been introduced for mobile devices but are not well suited for low-power and low data rate devices such as the IoT devices. ...
ZigBee, based on IEEE 802.15.4, is perhaps the most popular standard used in the smart home domain. ...
doi:10.1109/access.2017.2779844
fatcat:dfnk4oe2ifhqrnbn3gk6td64wy
NewSQL: Towards Next-Generation Scalable RDBMS for Online Transaction Processing (OLTP) for Big Data Management
2014
International Journal of Database Theory and Application
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This paper discusses about NewSQL data management system; and compares with NoSQL and with traditional database system. ...
DMS include NoSQL, NewSQL and Search-based systems. ...
Xeround [24] offers scalable elastic cloud computing infrastructure for elastic data management and data federation within and across clouds. This solution provided from CrunchBase. ...
doi:10.14257/ijdta.2014.7.6.11
fatcat:hbyj4wfjbjewvmrufh3n2lmu54
Security Issues and Challenges for the IoT-based Smart Grid
2014
Procedia Computer Science
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In this paper we investigate the security issues and challenges on the IoT-based SG, and define the major security services that we should consider when dealing with SG security ...
However, security is seen as one of the major factors hampering the rapid and large scale adoption and deployment of both the IoT vision and the Smart Grid. ...
at a large scale using IP-based solutions (IP, TCP/UDP, etc.), directly or through gateways if IP support is not possible, while allowing them to interact with any other communicating party on/over the ...
doi:10.1016/j.procs.2014.07.064
fatcat:w6csf4le6rcl7dbotvabvqnywq
Beyond Super: Powering the exascale ERA
[article]
2020
Figshare
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using bleeding edge HPC technologies. ...
unique IP to deliver the capabilities you will need in the exascale era with systems that perform like a supercomputer and run like a cloud.Together, we are redefining the supercomputing industry with the solutions ...
300KW, scales to 100s of cabinets
Massive growth of data and real-time
data flows
Mission critical workloads running
simultaneously -HPC, AI, and Big
Data
Requires active and intelligent
management ...
doi:10.6084/m9.figshare.11929641.v1
fatcat:4nnoxewkqzbupp6e54f24f72mq
Special Task Scheduling and Control of Cluster Parallel Computing for High-Performance Ground Processing System
[chapter]
2006
Lecture Notes in Computer Science
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This paper mainly discusses the special problems and solutions for multi-task and data flow control in cluster parallel computing system which dedicated used for High-performance Remote Sensing Satellite ...
Based on our experiences more flexible and reasonable solutions will be given. ...
It will be used for the computationsensitive algorithms and other massive data processing based on MPI and PIPFS, such as resample, rotation, and calibration. ...
doi:10.1007/11758532_4
fatcat:hklya2qtc5hb5m4dhnniyte37y
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service
[article]
2017
arXiv
pre-print
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Cloud computing represents a practical and cost-effective solution for supporting Big Data storage, processing and for sophisticated analytics applications. ...
Recently, we have been witnessing huge advancements in the scale of data we routinely generate and collect in pretty much everything we do, as well as our ability to exploit modern technologies to process ...
In general, one of the main advantage of working with cloud-based SaaS tools is that users do not have to worry about scaling their solution. ...
arXiv:1709.07493v1
fatcat:ja7rrbfk7vhnpjvqadlr5vvhyy
Data Mining on 5G Technology IOT
2019
International Journal Of Engineering And Computer Science
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On the other hand, the scientific community has realized that big data solutions can significantly enhance the operation and management of both current and future mobile networks. ...
Through the use of statistical analysis, machine learning and artificial intelligence are used in the data set in the course of extracting necessary knowledge from the examined data. ...
On the other hand, the scientific community has realized that big data solutions can significantly enhance the operation and management of both current and future mobile networks. ...
doi:10.18535/ijecs/v8i05.4291
fatcat:4f7v7t6plvg5boh6b4oufqvxhq
Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions
[article]
2021
arXiv
pre-print
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It identifies the need for integrated computing and cooling systems management and learning-based solutions in resource management systems. ...
A taxonomy on energy and thermal efficient resource management in data centres is proposed based on an in-depth analysis of the literature. ...
Need for learning-based Resource Management Solutions The existing Resource Management Systems (RMS), from operating systems to large scale data centres, are predominantly designed and built using preset ...
arXiv:2107.02342v1
fatcat:zjmghuyhwbd6nhag4txpvgg5wi
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