Distributed Stream Processing
“Survey of Distributed Stream Processing”
... traffic processing, network monitoring, and mobile ...In stream-based applications this data is pushed to the system as unbounded sequences of event ...called distributed stream ...
10
Robust Distributed Stream Processing
... Abstract Distributed stream processing systems must function efficiently for data streams that fluctuate in their arrival rates and data ...robust distributed stream processing ...
29
Scalable Distributed Stream Processing
... large-scale distributed stream processing ...centralized stream processing system, Aurora ...a distributed environment: Aurora* and ...of stream-based applications not ...
12
Survey of Distributed Stream Processing for Large Stream Sources
... traffic processing, network monitoring and so ...In stream based applications this data is pushed to the system as unbounded sequence of event ...called distributed stream processing ...
16
Scheduling in distributed stream processing systems
... for processing distributed data ...ecient distributed stream ...a distributed framework for control of dierent resources such as bandwidth is ...a distributed streaming ...
84
StreamCloud: An Elastic Parallel-Distributed Stream Processing Engine
... Current Stream Processing Engines, either centralized or distributed, do not scale with the in- put load due to single-node ...parallel- distributed stream processing engine that ...
230
Efficient Distributed Stream Processing: Optimization Approaches and Applications
... Distributed Stream Processing Systems (DSPS) are systems consisting of many computers that jointly process, and hence extract value from, large amounts of data at high ...in stream ...
124
Dynamic Load Balancing and Autoscaling in Distributed Stream Processing Systems
... in Distributed Stream Processing Systems Xing Wu In big data world, Hadoop and other batch-processing tools are widely used to analyze data and get results in ...etc. Distributed ...
95
MobiStreams: A Reliable Distributed Stream Processing System for Mobile Devices
... A. Distributed Stream Processing System A DSPS consists of operators and connections between ...a stream appli- cation running on the ...finishes processing a unit of input data, it ...
10
CANDS: Continuous Optimal Navigation via Distributed Stream Processing
... 9. CONCLUSION In this paper, we studied the problem of the shortest path over a dynamic road network and implemented the service on a distributed stream processing platform S4. More specifically, we ...
13
A Performance Benchmark for NetFlow Data Analysis on Distributed Stream Processing Systems
... Thus, in the case of selecting an appropriate system, the deci- sion needs to consider not only the advantages and disadvan- tages of system itself, but also the deployment environment. The results show that each of the ...
6
Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities
... technique. Distributed stream processing frameworks (DSPFs) have the capac- ity to handle real-time data processing for Smart ...employing distributed stream processing ...
24
Load Balancing Techniques for Distributed Stream Processing Applications in Overlay Environments
... Several characteristics make the provisioning of real- time and QoS support to distributed stream processing applications on large-scale service overlays a challeng- ing problem. First, overlay nodes ...
8
Quality of Service in Distributed Stream Processing for large scale Smart Pervasive Environments
... of processing this huge amount of data is to leverage the computing power of commodity computers inside data centers [21]: by using highly-parallel and fault- tolerant software architectures, extremely complex ...
203
Load Balancing for Distributed Stream Processing Engines. Muhammad Anis Uddin Nasir EMDC
... Load Balancing for Distributed Stream Processing Engines. Muhammad Anis Uddin Nasir[r] ...
39
High-Availability Algorithms for Distributed Stream Processing
... Upstream Backup: In repeatable query networks, operators produce output tuples by combining at most one tuple from each input stream. Input-tuple indicators therefore uniquely identify tuples and can serve for ...
12
Dynamic resource allocation for distributed stream processing engines
... high processing efficiency, and therefore, it failed to recover from machine ...selectively distributed and checkpointed these slides into specified ...
223
Parallel and Distributed Stream Processing: Systems Classification and Specific Issues
... an executor. According to our generic architecture, processing units are equivalent to workers. Each operator corresponds to an executor. Con- trary to Aurora’s architecture, acquisition units are explicitly ...
26
Proactive Online Scheduling for Shuffle Grouping in Distributed Stream Processing Systems
... by stream processing frameworks to share input load among parallel instances of stateless ...a stream can be assigned to any available operator instance, independently from any previous ...within ...
17