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 …
Recent advancements in event processing
Event processing (EP) is a data processing technology that conducts online processing of
event information. In this survey, we summarize the latest cutting-edge work done on EP …
event information. In this survey, we summarize the latest cutting-edge work done on EP …
Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows
Dramatic changes in the technology landscape marked by increasing scales and
pervasiveness of compute and data have resulted in the proliferation of edge applications …
pervasiveness of compute and data have resulted in the proliferation of edge applications …
[BOOK][B] Real-time linked dataspaces: Enabling data ecosystems for intelligent systems
E Curry - 2020 - library.oapen.org
This open access book explores the dataspace paradigm as a best-effort approach to data
management within data ecosystems. It establishes the theoretical foundations and …
management within data ecosystems. It establishes the theoretical foundations and …
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 …
SLA management for big data analytical applications in clouds: A taxonomy study
Recent years have witnessed the booming of big data analytical applications (BDAAs). This
trend provides unrivaled opportunities to reveal the latent patterns and correlations …
trend provides unrivaled opportunities to reveal the latent patterns and correlations …
Overflow: Multi-site aware big data management for scientific workflows on clouds
The global deployment of cloud datacenters is enabling large scale scientific workflows to
improve performance and deliver fast responses. This unprecedented geographical …
improve performance and deliver fast responses. This unprecedented geographical …
An intelligent parallel distributed streaming framework for near real-time science sensors and high-resolution medical images
Our goals are to address challenges such as latency, scalability, throughput and
heterogeneous data sources of streaming analytics and deep learning pipelines in science …
heterogeneous data sources of streaming analytics and deep learning pipelines in science …
Enactment of adaptation in data stream processing with latency implications—a systematic literature review
Context Stream processing is a popular paradigm to continuously process huge amounts of
data. Runtime adaptation plays a significant role in supporting the optimization of data …
data. Runtime adaptation plays a significant role in supporting the optimization of data …
A dynamically scalable cloud data infrastructure for sensor networks
As small, specialized sensor devices become more ubiquitous, reliable, and cheap,
increasingly more domain sciences are creating" instruments at large"-dynamic, often self …
increasingly more domain sciences are creating" instruments at large"-dynamic, often self …