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Load Management Techniques for Distributed Stream Processing

by Ying Xing
"... Distributed and parallel computing environments are becoming inexpensive and commonplace. The availability of large numbers of CPU’s makes it possible to process more data at higher speeds. Stream-processing systems are becoming more important, as broad classes of applications require results in rea ..."
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Distributed and parallel computing environments are becoming inexpensive and commonplace. The availability of large numbers of CPU’s makes it possible to process more data at higher speeds. Stream-processing systems are becoming more important, as broad classes of applications require results

Effective load balancing in P2P systems

by Zhiyong Xu, Laxmi Bhuyan - in Proc. 6th IEEE Int. Symp. on Cluster Computing and the Grid (CCGRID ’06 , 2006
"... In DHT based P2P systems, various issues such as peer heterogeneity, network topology, and diverse file popularity, may affect the DHT system efficiency. In this paper, we propose an effective load balancing algorithm for DHT-Based P2P systems. Our main contributions are: (1) we propose an fully dis ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
In DHT based P2P systems, various issues such as peer heterogeneity, network topology, and diverse file popularity, may affect the DHT system efficiency. In this paper, we propose an effective load balancing algorithm for DHT-Based P2P systems. Our main contributions are: (1) we propose an fully

Maintaining Balanced Trees For Structured Distributed Streaming Systems

by F. Giroire, R. Modrzejewski, N. Nisse, S. Perennes , 2013
"... In this paper, we propose and analyze a simple localized algorithm to balance a tree. The motivation comes from live distributed streaming systems in which a source diffuses a content to peers via a tree, a node forwarding the data to its children. Such systems are subject to a high churn, peers f ..."
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In this paper, we propose and analyze a simple localized algorithm to balance a tree. The motivation comes from live distributed streaming systems in which a source diffuses a content to peers via a tree, a node forwarding the data to its children. Such systems are subject to a high churn, peers

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
management systems (DBMS) which are very good at managing large volumes of stored data, fall short in serving this new class of applications, which require low-latency processing on live data from push-based sources. Aurora is a data stream management system (DSMS) that has been developed to meet these needs

On Heterogeneous Distributed Geoscientific Query Processing

by Eddie Shek, Richard R. Muntz , 1996
"... Geoscience studies produce data from various observations, experiments, and simulations at an enormous rate. With proliferation of geographic applications, scientific data formats, and storage systems, interoperability remains an important geoscientific data management issue that is often overlooked ..."
Abstract - Cited by 5 (3 self) - Add to MetaCart
on the Volcano extensive query processing system which encapsulates parallel computation through the exchange operator. Conquest extends the exchange operator to support multicasting of data streams and hide the heterogeneity in hardware and operating system platforms from users developing parallel geoscientific

Networks · Distributed Query Execution · Load Balancing

by Wenceslao Palma, Reza Akbarinia, Esther Pacitti, Patrick Valduriez, Wenceslao Palma, Reza Akbarinia, Reza Akbarinia, Esther Pacitti, Patrick Valduriez
"... Abstract Continuous query processing in data stream management systems (DSMS) has received considerable attention recently. Many applications share the same need for processing data streams in a continuous fashion. For most distributed streaming applications, the centralized processing of continuous ..."
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Abstract Continuous query processing in data stream management systems (DSMS) has received considerable attention recently. Many applications share the same need for processing data streams in a continuous fashion. For most distributed streaming applications, the centralized processing

Adaptive Load Diffusion for Multiway Windowed Stream Joins

by unknown authors
"... In this paper, we present an adaptive load diffusion operator to enable scalable processing of Multiway Windowed Stream Joins (MWSJs) using a cluster system. The load diffusion is achieved by a set of novel semantics-preserving tuple routing algorithms. Different from previous work, the load diffusi ..."
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diffusion operator can (1) preserve the MWSJ semantics while spreading tuples to different hosts for parallel join processing; (2) achieve fine-grained load balancing among distributed hosts; and (3) perform semantics-preserving online adaptations to maintain optimal performance in dynamic stream

Adaptive control of extreme-scale stream processing systems

by Lisa Amini, Navendu Jain, Anshul Sehgal, Jeremy Silber, Olivier Verscheure - In ICDCS 2006 , 2006
"... Abstract — Distributed stream processing systems offer a highly scalable and dynamically configurable platform for time-critical applications ranging from real-time, exploratory data mining to high performance transaction processing. Resource management for distributed stream processing systems is c ..."
Abstract - Cited by 37 (2 self) - Add to MetaCart
Abstract — Distributed stream processing systems offer a highly scalable and dynamically configurable platform for time-critical applications ranging from real-time, exploratory data mining to high performance transaction processing. Resource management for distributed stream processing systems

A dynamic load balancing method on a heterogeneous cluster of workstations

by Alessandro Bevilacqua - Informatica , 1999
"... The e cient usage of workstations clusters depends rst of all on the distribution of the workload. The following paper introduces a method to obtain e cient load balancing for data parallel applications through dynamic data assignment and a simple priority mechanism, on a heterogeneous cluster of wo ..."
Abstract - Cited by 15 (0 self) - Add to MetaCart
The e cient usage of workstations clusters depends rst of all on the distribution of the workload. The following paper introduces a method to obtain e cient load balancing for data parallel applications through dynamic data assignment and a simple priority mechanism, on a heterogeneous cluster

Flexible filters: Load balancing through backpressure for stream programs

by Rebecca L Collins , Luca P Carloni - In Proceedings ACM International Conference on Embedded Software (EMSOFT , 2009
"... ABSTRACT Stream processing is a promising paradigm for programming multi-core systems for high-performance embedded applications. We propose flexible filters as a technique that combines static mapping of the stream program tasks with dynamic load balancing of their execution. The goal is to improv ..."
Abstract - Cited by 6 (2 self) - Add to MetaCart
ABSTRACT Stream processing is a promising paradigm for programming multi-core systems for high-performance embedded applications. We propose flexible filters as a technique that combines static mapping of the stream program tasks with dynamic load balancing of their execution. The goal
Results 11 - 20 of 358