Aug 5, 2019 · A Network-aware and Partition-based Resource Management Scheme for Data Stream Processing. Authors: Author Picture Yidan Wang. RMIT University.
The existing scheduling and resource management schemes efficiently optimize stream processing performance with the awareness of resource, quality-of-service, ...
The proposed approach applies operator fusion by considering the computational demand of individual operators and the inter-operator communication patterns. It ...
Aug 8, 2019 · In this study, we propose a network-aware and partition-based resource management scheme to deal with the ever-changing network con- dition and ...
... Data Streams, IEEE Transactions on Parallel and Distributed Systems, Vol. 29 ... Zomaya, A.Y., 2017, Provisioning and Management of Internet of Things ...
Bibliographic details on A Network-aware and Partition-based Resource Management Scheme for Data Stream Processing.
A Network-aware and Partition-based Resource Management Scheme for Data Stream Processing. Model-Based Scheduling for Stream Processing Systems. QoS-aware ...
We consider distributed applications that continuously stream data across the network, where data needs to be aggregated and processed to produce.
It enables data to be processed in micro-batches (i.e., operation stream) when data burst occurs to achieve high throughput, while data is processed record by ...
Sep 26, 2019 · The (Network-aware resource management for scalable data analytics ... The current framework are based solely on compute resource profiles for.
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