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Scalable distributed stream processing

by ٭‬ Mitch Cherniack‫ , Hari Balakrishnan , Magdalena Balazinska , Don Carney , Uğur Çetintemel , Ying Xing , Stan Zdonik - in Proc. Conf. for Innovative Database Research (CIDR , 2003
"... Many stream-based applications are naturally distributed. Applications are often embedded in an environment with numerous connected computing devices with heterogeneous capabilities. As data travels from its point of origin (e.g., sensors) downstream to applications, it passes through many computin ..."
Abstract - Cited by 156 (16 self) - Add to MetaCart
computing devices, each of which is a potential target of computation. Furthermore, to cope with time-varying load spikes and changing demand, many servers would be brought to bear on the problem. In both cases, distributed computation is the norm. Abstract Stream processing fits a large class of new

A classification of natural rivers.

by David L Rosgen - Catena , 1994
"... Abstract A classification system for natural rivers is presented in which a morphological arrangement of stream characteristics is organized into relatively homogeneous stream types. This paper describes morphologically similar stream reaches that are divided into 7 major stream type categories tha ..."
Abstract - Cited by 173 (1 self) - Add to MetaCart
classification interrelationships were derived from 450 rivers throughout the U.S, Canada, and New Zealand. Data used in the development of this classification involved a great diversity of hydro-physiographic/geomorphic provinces from small to large rivers and in catchments from headwater streams

Evaluation of the Raw Microprocessor: An Exposed-Wire-Delay Architecture for ILP and Streams

by Michael Bedford Taylor, Walter Lee, Jason Miller, David Wentzlaff, Ian Bratt, Ben Greenwald, Henry Hoffmann, Paul Johnson, Jason Kim, James Psota, Arvind Saraf, Nathan Shnidman, Volker Strumpen, Matt Frank, Saman Amarasinghe, Anant Agarwal - In ISCA , 2004
"... This paper evaluates the Raw microprocessor. Raw addresses the challenge of building a general-purpose architecture that performs well on a larger class of stream and embedded computing applications than existing microprocessors, while still running existing ILP-based sequential programs with reason ..."
Abstract - Cited by 82 (14 self) - Add to MetaCart
applications. Raw supports both ILP and streams by routing operands between architecturally-exposed functional units over a point-to-point scalar operand network. This network offers low latency for scalar data transport. Raw manages the effect of wire delays by exposing the interconnect and using software

Class-based Continuous Query Scheduling for Data Streams

by Lory Al, Moakar Thao, N. Pham, Panayiotis Neophytou, Panos K. Chrysanthis, Alexandros Labrinidis, Mohamed Sharaf
"... Wireless sensor networks link the physical and digital worlds enabling both surveillance as well as scientific exploration. In both cases, on-line detection of interesting events can be accomplished with continuous queries (CQs) in a Data Stream Management System (DSMS). However, the qualityof-servi ..."
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Wireless sensor networks link the physical and digital worlds enabling both surveillance as well as scientific exploration. In both cases, on-line detection of interesting events can be accomplished with continuous queries (CQs) in a Data Stream Management System (DSMS). However, the qualityof

Streaming for Dummies

by Stan Zdonik, Peter Sibley, Alexander Rasin, Victoria Sweetser, Philip Montgomery, Jenine Turner, John Wicks, Alexander Zgolinski, Derek Snyder, Mark Humphrey, Charles Williamson , 2004
"... This paper provides an overview of these problems, examines why traditional relational systems are inadequate to deal with them, and identifies a new class of data processing currently known as Data Stream Management Systems (DSMS) designed to handle them. We will provide an overview of the current ..."
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This paper provides an overview of these problems, examines why traditional relational systems are inadequate to deal with them, and identifies a new class of data processing currently known as Data Stream Management Systems (DSMS) designed to handle them. We will provide an overview of the current

Load Shedding Techniques for Data Stream Management Systems

by Emine Nesime Tatbul
"... In recent years, we have witnessed the emergence of a new class of applications that must deal with large volumes of streaming data. Examples include financial data analysis on feeds of stock tick-ers, sensor-based environmental monitoring, and network traffic monitoring. Traditional database manage ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
In recent years, we have witnessed the emergence of a new class of applications that must deal with large volumes of streaming data. Examples include financial data analysis on feeds of stock tick-ers, sensor-based environmental monitoring, and network traffic monitoring. Traditional database

Efficient Management of Data Center Resources for Massively Multiplayer

by Online Games, Vlad Nae, Ru Iosup, Stefan Podlipnig, Radu Prodan, Dick Epema, Thomas Fahringer, Multiplayer Online Games
"... (MMOGs) can include millions of concurrent players spread across the world. To keep these highly-interactive virtual environments online, a MMOG operator may need to provision tens of thousands of computing resources from various data centers. Faced with large resource demand variability, and with m ..."
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(MMOGs) can include millions of concurrent players spread across the world. To keep these highly-interactive virtual environments online, a MMOG operator may need to provision tens of thousands of computing resources from various data centers. Faced with large resource demand variability

Exploiting PredicateWindow Semantics over Data Streams

by Thanaa M. Ghanem, Walid G. Aref, Ahmed K. Elmagarmid - SIGMOD Record
"... The continuous sliding-window query model is used widely in data stream management systems where the focus of a continuous query is limited to a set of the most recent tuples. In this paper, we show that an interesting and important class of queries over data streams cannot be answered using the sli ..."
Abstract - Cited by 17 (3 self) - Add to MetaCart
The continuous sliding-window query model is used widely in data stream management systems where the focus of a continuous query is limited to a set of the most recent tuples. In this paper, we show that an interesting and important class of queries over data streams cannot be answered using

Materials for an exploratory theory of the network society.

by Manuel Castells , Anthony Giddens , Alain Touraine , Anthony Smith , Benjamin Barber , Peter Hall , Roger-Pol Droit , Sophie Watson , Frank Webster , Krishan Kumar , David Lyon , Craig Calhoun , Jeffrey Henderson , Ramon Ramos , Jose E Rodrigues-Ibanez , Jose F Tezanos , Mary Kaldor , Stephen Jones , Christopher Freeman - The British Journal of Sociology , 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
Abstract - Cited by 122 (0 self) - Add to MetaCart
domain of our eco-social system is thereby transformed. We live in a new economy, characterized by three fundamental features. First, it is informational , that is, the capacity of generating knowledge and processing/managing information determine the productivity and competitiveness of all kinds

To Control a Database: Automatic Quality Adaptation in Data Stream Management Systems

by Yi-cheng Tu, Mohamed Hefeeda, Yuni Xia, Sunil Prabhakar
"... In this paper, we introduce a new class of applications where auto-adapting and reconfiguration strategies have great potential- data stream management systems (DSMSs). Unlike snapshot queries in traditional DBMS, the processing of continuous queries in DSMS needs to satisfy quality requirements. Qu ..."
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In this paper, we introduce a new class of applications where auto-adapting and reconfiguration strategies have great potential- data stream management systems (DSMSs). Unlike snapshot queries in traditional DBMS, the processing of continuous queries in DSMS needs to satisfy quality requirements
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