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Handling Priority Inversion in Time-Constrained Distributed Databases

. Handling Priority Inversion in Time-Constrained Distributed Databases provides emerging research exploring the theoretical and practical aspects;

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Distributed Databases in Real-Time Control

The problems surrounding the subject of distributed databases in real-time control were addressed at the workshop. The difficulties;

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Evolutionary Constrained Optimization

methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization;

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Distributed Database Architecture

modern web applications are built on top of distributed database architectures. These include large banking databases, problem-solving;

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Relational Databases and Distributed Systems

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Learning Apache Drill Query and Analyze Distributed Data Sources with SQL

distributed databases such as HBase, MongoDB, and relational databases. Drill works everywhere: on your laptop or in your largest cluster. In this;

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A Comparison of NoSQL Time Series Databases

, language: English, abstract: During the last years NoSQL databases have been developed to ad-dress the needs of tremendous performance, reliability;

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Distributed Optimization Advances in Theories Methods and Applications

thoroughly studies 1) distributed constrained optimization and the random sleep scheme, from an agent perspective; 2) asynchronous broadcast-based;

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Distributed Optimization Advances in Theories Methods and Applications

thoroughly studies 1) distributed constrained optimization and the random sleep scheme, from an agent perspective; 2) asynchronous broadcast-based;

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Alternating Direction Method of Multipliers for Machine Learning

Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type;

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Learning Apache Cassandra

MySQL or Postgres, and you want to explore distributed databases such as Cassandra, this is the perfect guide for you. Even if you've never;

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Distributed Multimedia Databases

systems and multimedia information retrieval are still challenging to both researchers and practitioners. Distributed Multimedia Databases;

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Knowledge Discovery from Sensor Data

As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster;

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Database and Applications Security

distributed databases and emerging applications.;

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Database Internals A DeepDive Into How Distributed Data Systems Work

: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency;

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A Manager's Guide to Database Technology

includes detailed briefings on the latest advances in the field, including distributed and object-oriented databases.;

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Graph Databases in Action

loss of valuable insights, in graph databases, data connections are first priority. Dave Bechberger has extensive experience using;

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Replication: Theory and Practice

professionals and students of distributed computing, distributed systems, and databases.;

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Advances in Databases and Information Systems

; subsequence matching and streaming data; OLAP; graph databases; spatial data management; parallel and distributed data processing; query optimization;

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Data-Variant Kernel Analysis

the distributed databases to compare speed and memory usages * Explores the possibility of real-time processes by synthesizing offline and;

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Distributed Computing and Internet Technology

This book constitutes the proceedings of the 14th International Conference on Distributed Computing and Internet Technology, ICDCIT 2018;

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Distributed Systems

Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and;

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Distributed Systems

Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and;

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Java Distributed Computing

of CORBA and RMI) * Threads * Security * Message Passing Systems * Distributed Data Systems (Databases) * Bandwidth Limited Applications;

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Big Data

acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling;

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Big Data

acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling;

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Networked Systems

as multi-core architectures, concurrent and distributed algorithms, parallel/concurrentdistributed programming, distributed databases, cloud;

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