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Record Nr. |
UNINA9910457789203321 |
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Autore |
Engels Eva |
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Titolo |
Optimizing adverb positions [[electronic resource] /] / Eva Engels |
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Pubbl/distr/stampa |
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Amsterdam ; ; Philadelphia, : John Benjamins Pub. Company, 2012 |
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ISBN |
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1-283-46935-9 |
9786613469359 |
90-272-8184-X |
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Descrizione fisica |
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1 online resource (361 p.) |
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Collana |
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Linguistik aktuell/Linguistics today, , 0166-0829 ; ; v. 181 |
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Disciplina |
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Soggetti |
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Grammar, Comparative and general - Adverb |
Grammar, Comparative and general - Word order |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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pt. 1. Adverb positions -- pt. 2. Adverb positions in gap constructions. |
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Sommario/riassunto |
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Adverb positions vary within a single language as well as across diverse languages. Based on the study of adverbs in English, French and German, this monograph shows that the distribution of adverbs is influenced by various factors at distinct levels of linguistic representation - comprising semantics, syntax, phonology and information structure -, which interact in determining adverb positions. The results of the investigation are formulated within the theoretical framework of Optimality Theory, which captures the complex interaction of these factors by hierarchically ranked constraints, deri |
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2. |
Record Nr. |
UNINA9910299056603321 |
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Autore |
Zhao Liang |
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Titolo |
Cloud Data Management / / by Liang Zhao, Sherif Sakr, Anna Liu, Athman Bouguettaya |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (216 p.) |
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Disciplina |
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Soggetti |
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Database management |
Computer networks |
Database Management |
Computer Communication Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Cloud Computing -- Cloud-Hosted Data Storage Systems -- Performance Evaluation Framework of Cloud Platforms -- Database Replication of NoSQL Database-as-a-Service -- Replicating Virtualized Database Servers -- SLA-Driven Database Replication on Virtualized Database Servers -- QoS-Aware Service Compositions in Cloud Computing -- Big Data Processing Systems -- Conclusions. |
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Sommario/riassunto |
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In practice, the design and architecture of a cloud varies among cloud providers. We present a generic evaluation framework for the performance, availability and reliability characteristics of various cloud platforms. We describe a generic benchmark architecture for cloud databases, specifically NoSQL database as a service. It measures the performance of replication delay and monetary cost. Service Level Agreements (SLA) represent the contract which captures the agreed upon guarantees between a service provider and its customers. The specifications of existing service level agreements (SLA) for cloud services are not designed to flexibly handle even relatively straightforward performance and technical requirements of consumer |
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applications. We present a novel approach for SLA-based management of cloud-hosted databases from the consumer perspective and an end-to-end framework for consumer-centric SLA management of cloud-hosted databases. The framework facilitates adaptive and dynamic provisioning of the database tier of the software applications based on application-defined policies for satisfying their own SLA performance requirements, avoiding the cost of any SLA violation and controlling the monetary cost of the allocated computing resources. In this framework, the SLA of the consumer applications are declaratively defined in terms of goals which are subjected to a number of constraints that are specific to the application requirements. The framework continuously monitors the application-defined SLA and automatically triggers the execution of necessary corrective actions (scaling out/in the database tier) when required. The framework is database platform-agnostic, uses virtualization-based database replication mechanisms and requires zero source code changes of the cloud-hosted software applications. |
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