distributed data management
Principles of Distributed Data Management in 2020?
... web, distributed data sources have become ...of Distributed Database Systems [10] reflects the evolution of distributed data management and distributed database ...of ...
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Distributed Data Management
... I All data must be read from blocks stored on different disks I Processing is performed only within DBMS node (not distributed) I Distribution handled by operating system. Schallehn (FIN[r] ...
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Resource control in ATLAS distributed data management: Rucio Accounting and Quotas
... A quota can be defined as ( account, RSE expression , bytes, files, level ) tuple. The account describes the account the quota is for, e.g[r] ...
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Distributed Data Management Summer Semester 2013 TU Kaiserslautern
... Data Stream Management vs... Data Stream Management vs.[r] ...
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Distributed Data Management Summer Semester 2013 TU Kaiserslautern
... With Huge Data Sets ….[r] ...
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High Throughput Data-Compression for Cloud Storage
... As data volumes processed by large-scale distributed data- intensive applications grow at high-speed, an increasing I/O pressure is put on the underlying storage service, which is responsible for ...
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Advancements in data management services for distributed e-infrastructures: the eXtreme-DataCloud project
... the data management activities like data transfers, and data ...Cloud Management Frameworks (like OpenStack and OpenNebula) and Mesos ...the data management orchestration ...
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Using Open Source NoSQL technologies in Designing Systems for Delivering Electric Vehicle Data Analytics.
... of data. This data is mainly logger data collected from various sensors in the vehicle and stored as flat ...Big Data. Analysis of such data needs a high performance information ...
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The data management of heterogeneous resources in Belle II
... II distributed computing software and middleware layers in- cluding its grid services, resources, and DIRAC ...components. Distributed Data Management System (DDMS) is a BelleDIRAC extension ...
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Distributed Data Deduplication
... blocking, data deduplication remains a costly problem for large ...up data deduplication by leveraging parallelism in a shared-nothing computing envi- ...
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Distributed Data Mining
... a distributed process, by merging results from fragments without paying attention to support ...the distributed solution is relative to the size of fragments (in particular, little fragments give problems ...
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Distributed Data Deduplication
... techniques, data deduplica- tion remains a costly process that can take hours to days to finish for real world datasets on a single machine ...on data deduplication is situated in a centralized setting [4, ...
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HEP Data-Intensive Distributed Cloud Computing System Requirements Specification Document
... • Simplified JDL: When a user wishes to run batch jobs, they must describe the jobs to be run in a simple text file using a Job Description Language (JDL). The JDL identifies the program to be executed along with any ...
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Cloud based Smart Grid Architecturefor Secured Big Data Information Management
... of data containingRT information, operating data, test data, and the data size is ...big data combines with different types of technologies to guarantee high performance, efficient, and ...
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A Coherent Distributed Grid Service for Assimilation and Unification of Heterogeneous Data Source
... coherent distributed grid service which is designed for assimilation and unification of heterogeneous data ...collect data from independent sites those have different schema and heterogeneous ...
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Distributed Identity Management
... Linked Data Integration Framework (LDIF) [ASIBB11] is designed to translated different data sources from the Web of Lined Data into a single clean local target representation while keeping provenance ...
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Efficient Parallel key management for Distributed Data Security in Content Delivery Networks
... node in the network gets at least a copy of each message. Such a full replication strategy leads to an increase of the delivery rate. Replication of messages is done by means of summary vectors that are exchanged between ...
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IJMIE Volume 2, Issue 6 ISSN:
... One of the most common forms of data transmitted between a sender and a receiver is textual data. This textual information is transmitted as a sequence of characters. To distinguish one character from ...
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An Architecture for Management of Large, Distributed, Scientific Data Using SQL/MED and XML
... • We are using our architecture to build a large scientific archive from commodity components, with many distributed machines acting as file servers for a single database . Security, backup and integrity of the ...
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A FRAMEWORK FOR MANAGEMENT OF DISTRIBUTED DATA PROCESSING AND EVENT SELECTION FOR THE ICECUBE NEUTRINO OBSERVATORY
... and data processing for IceCube requires a significant amount of computational ...a management system based on Python, XMLRPC, and ...of data produced by the IceCube detector upon arrival in the ...
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