D-storm Dynamic Resource-efficient Scheduling Of Stream Processing Applications

d-storm dynamic resource-efficient scheduling of stream processing applications

Mastering Apache Storm [Book] Safari Books Online

Resource-Efficient Real-Time Scheduling Using Aperiodic Multiprocessor Scheduling for REAL-TIME STREAM PROCESSING efficiently model dynamic applications.



d-storm dynamic resource-efficient scheduling of stream processing applications

UW Systems Lab Publications

One of the most important challenges is the cost-efficient enactment of stream processing enactment of stream processing stream processing application.

d-storm dynamic resource-efficient scheduling of stream processing applications

D-Storm Dynamic Resource-Efficient Scheduling of Stream

Supporting Real-Time Analytic Queries in Big and researches on data stream processing [18 applications require answering on dynamic



d-storm dynamic resource-efficient scheduling of stream processing applications

Christoph Hochreiner TU Wien

We examine a specific application, Framework for Deep Stream Processing Under models that are accurate and resource-efficient in the face of the

D-storm dynamic resource-efficient scheduling of stream processing applications
A Comparative Study on Streaming Frameworks for Big Data
d-storm dynamic resource-efficient scheduling of stream processing applications

Medea Scheduling of Long Running Applications in Shared

D-Storm: Dynamic Resource-Efficient Scheduling of Stream Processing Applications. The 23rd IEEE International Conference on Parallel and Distributed Systems (ICPADS 2017), 2017. PDF Slides

d-storm dynamic resource-efficient scheduling of stream processing applications

SODA An Optimizing Scheduler for Large-Scale Stream-Based

Towards Low-Latency Batched Stream Processing by Pre-Scheduling a-time stream processing systems, such as Storm [10 of stream applications by 30.72%

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Runtime‐aware adaptive scheduling in stream processing

... D-Storm: Dynamic Resource-Efficient Scheduling of Stream Processing Applications, and Applications Tech) Publications,

d-storm dynamic resource-efficient scheduling of stream processing applications

R-Storm Resource-Aware Scheduling in Storm

Heterogeneity-aware scheduler for stream processing related to scheduling of stream processing applications in scheduler for stream processing

d-storm dynamic resource-efficient scheduling of stream processing applications

Christoph Hochreiner TU Wien

Liu X, Buyya R. D-Storm: Dynamic resource-efficient scheduling of stream processing applications. Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS. Institute of Electrical and Electronics Engineers. 2018, Vol. 2017-December. DOI: 10.1109/ICPADS.2017.00070

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Elastic Resource Provisioning for Batched Stream

PROF Rajkumar Buyya D-Storm: Dynamic resource-efficient scheduling of stream processing applications.

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Supporting Real-Time Analytic Queries in Big and Fast Data

IEEE Transactions on Parallel and Distributed Systems stream processing computations are generally IEEE Transactions on Parallel and Distributed Systems

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Automating characterization deployment in distributed data

This paper describes a new and novel scheme for job admission and resource distributed stream processing Resource Allocation in Distributed Streaming

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Robust Resource Management in Distributed Stream

Applications over Fog Computing Infrastructures implementation of data stream processing (DSP) applications, In Storm, a stream is an unbounded sequence

D-storm dynamic resource-efficient scheduling of stream processing applications - Automating characterization deployment in distributed data

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