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358
Scalable distributed stream processing
- 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
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Cited by 156 (16 self)
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applications for which conventional DBMSs fall short. Because many stream-oriented systems are inherently geographically distributed and because distribution offers scalable load management and higher availability, future stream processing systems will operate in a distributed fashion. They will run across
Stream Join Processing on Heterogeneous Processors
"... The window-based stream join is an important operator in all data streaming systems. It has often high resource requirements so that manyefficient sequential as well as parallel versions of it were proposed in the literature. The parallel stream join operators recently gain increasing interest becau ..."
Abstract
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Cited by 2 (0 self)
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typically avery high peak performance. In this paper,wepropose an initial variant of awindow-based stream join operator that is optimized for processors with heterogeneous execution units. We provide an efficient load balancing approach to utilize all available execution units of aprocessor and further
Autonomous Load Balancing of Data Stream Processing and Mobile Communications in Scalable Data Distribution Systems
"... Abstract—A huge number of applications such as network monitoring, traffic engineering systems, intelligent routing of cars, sensor networks, mobile telecommunications, logistics applications and air traffic control require continuous and timely processing of high volume of data originated from many ..."
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many distributed sources as well as mobile communication and monitoring. The deployment and operation of infrastructures enabling such mobile communication and data stream pro-cessing have two key requirements: they must be capable of handling large and variable numbers of wireless connections
Potential-driven load distribution for distributed data stream processing
- In: Proceedings of the 2nd International Workshop on Scalable Stream Processing System (SSPS
, 2008
"... A large class of applications require real-time processing of continuous stream data resulting in the development of data stream management systems (DSMS). Since many of these applications are distributed, distributed DSMSs are starting to receive attention. In this paper, we focus on an important i ..."
Abstract
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Cited by 1 (0 self)
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A large class of applications require real-time processing of continuous stream data resulting in the development of data stream management systems (DSMS). Since many of these applications are distributed, distributed DSMSs are starting to receive attention. In this paper, we focus on an important
Process Migration for Heterogeneous Distributed Systems
, 1995
"... The policies and mechanisms for migrating processes in a distributed system become more complicated in a heterogeneous environment, where the hosts may differ in their architecture and operating systems. These distributed systems include a large quantity and great diversity of resources which may no ..."
Abstract
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Cited by 13 (0 self)
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The policies and mechanisms for migrating processes in a distributed system become more complicated in a heterogeneous environment, where the hosts may differ in their architecture and operating systems. These distributed systems include a large quantity and great diversity of resources which may
Load balancing techniques for distributed stream processing applications in overlay environments
- In: Proceedings of the 9th International Symposium on Object and Component-Oriented Real-Time Distributed Computing, ISORC, Gyeongju, Korea
, 2006
"... Service overlays that support distributed stream processing applications are increasingly being deployed in wide-area environments. The inherent heterogeneous, dynamic and large-scale nature of these systems makes it difficult to meet the Quality of Service (QoS) requirements of the distributed stre ..."
Abstract
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Cited by 11 (8 self)
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stream processing applications. In this paper we address the load balancing problem for distributed stream processing applications and present a decentralized and adaptive algorithm that allows the composition of distributed stream processing applications on the fly across a large-scale system, while
PREDICTIVE LOAD BALANCING FOR DATA MINING IN DISTRIBUTED SYSTEMS
"... Load Balancing is the key attribute in distributed systems to ensure fast processing and optimal utilization of hardware components. The processing elements of varying hardware architecture and computing capabilities in a shared network system constitute the distributed system. In such a heterogeneo ..."
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Load Balancing is the key attribute in distributed systems to ensure fast processing and optimal utilization of hardware components. The processing elements of varying hardware architecture and computing capabilities in a shared network system constitute the distributed system. In such a
Balancing Memory Load in . . .
, 2005
"... Distributed continuous stream query systems have been shown to meet the needs of a range of high-volume applications. However, in some applications the stream queries for these applications may require a wide range of sizes of allocated memory. In such cases it may not be feasible to continue to sto ..."
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and distribution of data. This thesis proposal discusses an unexplored method of partitioning a query operator across several machines, without predetermining a destination for each new input for the operator. The proposed extension consists of the ability of the D-CAPE distributed continuous stream query system
Diplomarbeit Distributed Processing of Data Streams in P2P Networks
, 2005
"... In many industrial and scientific cooperations and communities, globally distributed institutions share their data and computational resources to compose socalled virtual organizations. Efficient parallelization, network-aware load-balancing, and distributed processing of heterogeneous data sources ..."
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In many industrial and scientific cooperations and communities, globally distributed institutions share their data and computational resources to compose socalled virtual organizations. Efficient parallelization, network-aware load-balancing, and distributed processing of heterogeneous data sources
Adaptive load diffusion for stream joins
- in Middleware
, 2005
"... Abstract. Data stream processing has become increasingly important as many emerging applications call for sophisticated realtime processing over data streams, such as stock trading surveillance, network traffic monitoring, and sensor data analysis. Stream joins are among the most important stream p ..."
Abstract
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Cited by 3 (1 self)
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processing operations, which can be used to detect linkages and correlations between different data streams. One major challenge in processing stream joins is to handle continuous, high-volume, and time-varying data streams under resource constraints. In this paper, we present a novel load diffusion system
Results 1 - 10
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358
