Runtime adaptation of data stream processing systems: The state of the art
Data stream processing (DSP) has emerged over the years as the reference paradigm for
the analysis of continuous and fast information flows, which often have to be processed with …
the analysis of continuous and fast information flows, which often have to be processed with …
Self‐adaptation on parallel stream processing: A systematic review
A recurrent challenge in real‐world applications is autonomous management of the
executions at run‐time. In this vein, stream processing is a class of applications that compute …
executions at run‐time. In this vein, stream processing is a class of applications that compute …
Model-based stream processing auto-scaling in geo-distributed environments
Data stream processing is an attractive paradigm for analyzing IoT data at the edge of the
Internet before transmitting processed results to a cloud. However, the relative scarcity of fog …
Internet before transmitting processed results to a cloud. However, the relative scarcity of fog …
A multi-level collaborative framework for elastic stream computing systems
An elastic stream computing system is expected to process dynamic and volatile data
streams with low latency and high throughput in timely manner. Effective management of …
streams with low latency and high throughput in timely manner. Effective management of …
To migrate or not to migrate: An analysis of operator migration in distributed stream processing
E Volnes, T Plagemann… - … Communications Surveys & …, 2023 - ieeexplore.ieee.org
One of the most important issues in distributed data stream processing systems is using
operator migration to handle highly variable workloads cost-efficiently and adapt to the …
operator migration to handle highly variable workloads cost-efficiently and adapt to the …
Self-adaptive abstractions for efficient high-level parallel computing in multi-cores
AJ Vogel - 2022 - tede2.pucrs.br
Atualmente, uma parte significativa dos sistemas computacionais e aplicações do mundo
real demandam paralelismo para acelerar suas execuções. Embora a programação …
real demandam paralelismo para acelerar suas execuções. Embora a programação …
Resource management for data stream processing in geo-distributed environments
H Arkian - 2021 - inria.hal.science
The deployment of Data Stream Processing (DSP) frameworks in geo-distributed computing
infrastructures can bridge the gap between Cloud and edge devices and reduce data …
infrastructures can bridge the gap between Cloud and edge devices and reduce data …