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Algorithmic aspects of cloud computingsecond International Workshop, ALGOCLOUD 2016, Aarhus, Denmark, August 22, 2016 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Algorithmic aspects of cloud computingedited by Timos Sellis, Konstantinos Oikonomou.
Reminder of title:	second International Workshop, ALGOCLOUD 2016, Aarhus, Denmark, August 22, 2016 : revised selected papers /
remainder title:	ALGOCLOUD 2016
other author:	Sellis, Timos.
corporate name:
Published:	Cham :Springer International Publishing :2017.
Description:	xii, 183 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Cloud computingCongresses.Mathematics
Online resource:	http://dx.doi.org/10.1007/978-3-319-57045-7
ISBN:	9783319570457$q(electronic bk.)

Algorithmic aspects of cloud computingsecond International Workshop, ALGOCLOUD 2016, Aarhus, Denmark, August 22, 2016 : revised selected papers /
Algorithmic aspects of cloud computingsecond International Workshop, ALGOCLOUD 2016, Aarhus, Denmark, August 22, 2016 : revised selected papers /[electronic resource] :ALGOCLOUD 2016edited by Timos Sellis, Konstantinos Oikonomou. - Cham :Springer International Publishing :2017. - xii, 183 p. :ill., digital ;24 cm. - Lecture notes in computer science,102300302-9743 ;. - Lecture notes in computer science ;4891..

Algorithmic aspects of elasticity and scalability for distributed, large-scale data stores (e.g. NoSQL and columnar databases) -- Sand retrieval algorithms for cloud infrastructures -- Monitoring and analysis of elasticity for virtualized environments -- NoSQL, schemaless data modeling, integration -- Caching and load-balancing; storage structures and indexing for cloud databases -- New algorithmic aspects of parallel and distributed computing for cloud applications -- Scalable machine learning, analytics and data science -- High availability, reliability, failover; transactional models and algorithms for cloud databases -- Query languages and processing programming models -- Consistency, replication and partitioning CAP, data structures and algorithms for eventually consistent stores.

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2016, held in Aarhus, Denmark, in August 2016. The 11 revised full papers presented together with one tutorial paper were carefully reviewed and selected from 30 initial submissions. They deal with the following topics: algorithmic aspects of elasticity and scalability for distributed, large-scale data stores (e.g. NoSQL and columnar databases); search and retrieval algorithms for cloud infrastructures; monitoring and analysis of elasticity for virtualized environments; NoSQL, schemaless data modeling, integration; caching and load-balancing; storage structures and indexing for cloud databases; new algorithmic aspects of parallel and distributed computing for cloud applications; scalable machine learning, analytics and data science; high availability, reliability, failover; transactional models and algorithms for cloud databases; query languages and processing programming models; consistency, replication and partitioning CAP, data structures and algorithms for eventually consistent stores.

ISBN: 9783319570457$q(electronic bk.)

Standard No.: 10.1007/978-3-319-57045-7doiSubjects--Topical Terms:

740640
Cloud computing
--Mathematics--Congresses.

LC Class. No.: QA76.585

Dewey Class. No.: 004.6782

Algorithmic aspects of cloud computingsecond International Workshop, ALGOCLOUD 2016, Aarhus, Denmark, August 22, 2016 : revised selected papers /
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520 $a This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2016, held in Aarhus, Denmark, in August 2016. The 11 revised full papers presented together with one tutorial paper were carefully reviewed and selected from 30 initial submissions. They deal with the following topics: algorithmic aspects of elasticity and scalability for distributed, large-scale data stores (e.g. NoSQL and columnar databases); search and retrieval algorithms for cloud infrastructures; monitoring and analysis of elasticity for virtualized environments; NoSQL, schemaless data modeling, integration; caching and load-balancing; storage structures and indexing for cloud databases; new algorithmic aspects of parallel and distributed computing for cloud applications; scalable machine learning, analytics and data science; high availability, reliability, failover; transactional models and algorithms for cloud databases; query languages and processing programming models; consistency, replication and partitioning CAP, data structures and algorithms for eventually consistent stores.
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