Stream Data Processing A Quality Of Service Perspective
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Stream Data Processing A Quality Of Service Perspective
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Author : Sharma Chakravarthy
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-09
Stream Data Processing A Quality Of Service Perspective written by Sharma Chakravarthy and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-09 with Computers categories.
The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs). This book presents a new paradigm to meet the needs of these applications, including a detailed discussion of the techniques proposed. Ii includes important aspects of a QoS-driven DSMS (Data Stream Management System) and introduces applications where a DSMS can be used and discusses needs beyond the stream processing model. It also discusses in detail the design and implementation of MavStream. This volume is primarily intended as a reference book for researchers and advanced-level students in computer science. It is also appropriate for practitioners in industry who are interested in developing applications.
Economics Of Grids Clouds Systems And Services
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Author : Kurt Vanmechelen
language : en
Publisher: Springer
Release Date : 2012-11-28
Economics Of Grids Clouds Systems And Services written by Kurt Vanmechelen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-28 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Workshop on Economics of Grids, Clouds, Systems, and Services, GECON 2012, held in Berlin, Germany, in November 2012. The 12 revised full papers presented together with 6 work in progress papers were carefully reviewed and selected from more than 36 submissions. The papers are organized in the following topical sections: market mechanisms, pricing and negotiation; resource allocation, scheduling and admission control; work in progress on tools and techniques for cost-efficient service selection; market modeling; trust; cloud computing in education; and work in progress on cloud adoption and business models.
A Framework For Supporting Quality Of Service Requirements In A Data Stream Management System
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Author : Qingchun Jiang
language : en
Publisher:
Release Date : 2005
A Framework For Supporting Quality Of Service Requirements In A Data Stream Management System written by Qingchun Jiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computer science categories.
Currently, a large class of data-intensive applications, in which data are presented in the form of continuous data streams rather than static relations, has been widely recognized in the database community. Not only is the size of the data for these applications unbounded and the data arrives in a highly bursty mode, but these applications have to conform to Quality of Service (QoS) requirements for processing continuous queries (CQs) over data streams. These characteristics make it infeasible to simply load the arriving data streams into a traditional database management system and use currently available techniques for their processing. Therefore, a data stream management system (DSMS) is needed to process continuous streaming data effectively and efficiently. In this thesis, we discuss and provide solutions to many aspects of a DSMS with the emphasis on supporting QoS requirements and event and rule processing. Specifically, we address the following problems: System capacity planning and QoS metrics estimation. We propose a queueing theory based model for analyzing a multiple continuous query processing system. Using our queueing model, we provide a solution to the system capacity planning problem and its reverse problem: given the resources and CQs, how to estimate QoS metrics? The estimated QoS metrics not only can be used to verify whether the defined QoS requirements of CQs in a DSMS have been satisfied, but also form the base in a DSMS to manage and control various QoS delivery mechanisms such as scheduling strategies, load shedding, admission control, and others. Run-Time resource allocation (scheduling strategies). We propose a family of scheduling strategies for run-time resource allocation in DSMSs, which includes the operator path capacity strategy (PC) to minimize the overall tuple latency, the operator segment strategy and its variances: the memory-optimal segment strategy (MOS), which minimizes the total memory requirement, and the simplified segment strategy, and the threshold strategy, a hybrid of the PC and the MOS strategy. QoS delivery mechanism (load shedding). We develop a set of comprehensive techniques to handle the bursty nature of input data streams by activating/deactivating a set of shedders to gracefully discard tuples during overload periods in a general DSMS. We first formalize the problem and discuss the physical implementation of shedders. We then develop a set of algorithms to estimate system capacity, to compute the optimal location of shedders in CQs, and to allocate the total shedding load among non-active shedders. Event and rule processing. We develop an integrated model, termed Estream, to process complicated event expressions and rules under the context of data stream processing through a group of enhancements to a DSMS. Our Estream model greatly improves the expressiveness and computation ability of DSMSs in terms of processing complex real-life events and makes DSMSs actively respond to defined events over data streams and carry out defined sequences of actions automatically. (Abstract shortened by UMI.).
Database Systems For Advanced Applications
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Author : Jeffrey Xu Yu
language : en
Publisher: Springer
Release Date : 2011-04-09
Database Systems For Advanced Applications written by Jeffrey Xu Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-09 with Computers categories.
This two volume set LNCS 6587 and LNCS 6588 constitutes the refereed proceedings of the 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, held in Saarbrücken, Germany, in April 2010. The 53 revised full papers and 12 revised short papers presented together with 2 invited keynote papers, 22 demonstration papers, 4 industrial papers, 8 demo papers, and the abstract of 1 panel discussion, were carefully reviewed and selected from a total of 225 submissions. The topics covered are social network, social network and privacy, data mining, probability and uncertainty, stream processing, graph, XML, XML and graph, similarity, searching and digital preservation, spatial queries, query processing, as well as indexing and high performance.
Business Process Management
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Author : Alistair Barros
language : en
Publisher: Springer
Release Date : 2012-08-27
Business Process Management written by Alistair Barros and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-27 with Computers categories.
This book constitutes the proceedings of the 10th International Conference on Business Process Management, BPM 2012, held in Tallinn, Estonia, in September 2012. The 17 regular papers and 7 short papers included in this volume were carefully reviewed and selected from 126 submissions. The book also features two keynote lectures which were given at the conference. The papers are organized in topical sections named: process quality; conformance and compliance; BPM applications; process model analysis; BPM and the cloud; requirements and performance; process mining; and refactoring and optimization.
Spatio Temporal Data Streams
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Author : Zdravko Galić
language : en
Publisher: Springer
Release Date : 2016-08-26
Spatio Temporal Data Streams written by Zdravko Galić and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-26 with Computers categories.
This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering. Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing. Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.
Data Stream Management
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Author : Lukasz Golab
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Data Stream Management written by Lukasz Golab and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.
Many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log mining. In general, a data stream is an unbounded data set that is produced incrementally over time, rather than being available in full before its processing begins. In this lecture, we give an overview of recent research in stream processing, ranging from answering simple queries on high-speed streams to loading real-time data feeds into a streaming warehouse for off-line analysis. We will discuss two types of systems for end-to-end stream processing: Data Stream Management Systems (DSMSs) and Streaming Data Warehouses (SDWs). A traditional database management system typically processes a stream of ad-hoc queries over relatively static data. In contrast, a DSMS evaluates static (long-running) queries on streaming data, making a single pass over the data and using limited working memory. In the first part of this lecture, we will discuss research problems in DSMSs, such as continuous query languages, non-blocking query operators that continually react to new data, and continuous query optimization. The second part covers SDWs, which combine the real-time response of a DSMS by loading new data as soon as they arrive with a data warehouse's ability to manage Terabytes of historical data on secondary storage. Table of Contents: Introduction / Data Stream Management Systems / Streaming Data Warehouses / Conclusions
Data And Applications Security And Privacy Xxix
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Author : Pierangela Samarati
language : en
Publisher: Springer
Release Date : 2015-06-22
Data And Applications Security And Privacy Xxix written by Pierangela Samarati and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-22 with Computers categories.
This book constitutes the refereed proceedings of the 29th Annual IFIP WG 11.3 International Working Conference on Data and Applications Security and Privacy, DBSec 2015, held in Fairfax, VA, USA, in July 2015. The 18 revised full papers and 6 short papers presented were carefully reviewed and selected from 45 submissions. The papers are organized in the following topical sections: data anonymization and computation; access control and authorization; user privacy; authentication and information integration; privacy and trust; access control and usage policies; network and internet security; and information flow and inference.
Semantic Web
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Author : Michael Workman
language : en
Publisher: Springer
Release Date : 2015-08-27
Semantic Web written by Michael Workman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-27 with Technology & Engineering categories.
This book examines recent developments in semantic systems that can respond to situations and environments and events. The contributors to this book cover how to design, implement and utilize disruptive technologies. The editor discusses the two fundamental sets of disruptive technologies: the development of semantic technologies including description logics, ontologies and agent frameworks; and the development of semantic information rendering and graphical forms of displays of high-density time-sensitive data to improve situational awareness. Beyond practical illustrations of emerging technologies, the editor proposes to utilize an incremental development method called knowledge scaffolding –a proven educational psychology technique for learning a subject matter thoroughly. The goal of this book is to help readers learn about managing information resources, from the ground up and reinforcing the learning as they read on.
Data And Applications Security And Privacy Xxv
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Author : Yingjiu Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-30
Data And Applications Security And Privacy Xxv written by Yingjiu Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-30 with Business & Economics categories.
This book constitutes the refereed proceedings of the 25th IFIP WG 11.3 International Conference on Data and Applications Security and Privacy, DBSec 2011, held in Richmond, VA, USA, in July 2011. The 14 revised full papers and 9 short papers presented together with 3 invited lectures were carefully reviewed and selected from 37 submissions. The topics of these papers include access control, privacy-preserving data applications, data confidentiality and query verification, query and data privacy, authentication and secret sharing.