Cyber-physical systems clouds: A survey

R Chaâri, F Ellouze, A Koubâa, B Qureshi, N Pereira… - Computer Networks, 2016‏ - Elsevier
Abstract Cyber-Physical Systems (CPSs) represent systems where computations are tightly
coupled with the physical world, meaning that physical data is the core component that …

Challenges and solutions for processing real-time big data stream: a systematic literature review

E Mehmood, T Anees - IEEE Access, 2020‏ - ieeexplore.ieee.org
Contribution: Recently, real-time data warehousing (DWH) and big data streaming have
become ubiquitous due to the fact that a number of business organizations are gearing up to …

Globus automation services: Research process automation across the space–time continuum

R Chard, J Pruyne, K McKee, J Bryan… - Future Generation …, 2023‏ - Elsevier
Research process automation–the reliable, efficient, and reproducible execution of linked
sets of actions on scientific instruments, computers, data stores, and other resources–has …

Resource management and scheduling in distributed stream processing systems: a taxonomy, review, and future directions

X Liu, R Buyya - ACM Computing Surveys (CSUR), 2020‏ - dl.acm.org
Stream processing is an emerging paradigm to handle data streams upon arrival, powering
latency-critical application such as fraud detection, algorithmic trading, and health …

Sensor cloud frameworks: state-of-the-art, taxonomy, and research issues

RMA Haseeb-Ur-Rehman, M Liaqat… - IEEE Sensors …, 2021‏ - ieeexplore.ieee.org
In recent times, Wireless Sensor Network (WSN) technology has received significant
attention owing to its numerous applications in various mission critical services, such as …

Multi-modality sensor data classification with selective attention

X Zhang, L Yao, C Huang, S Wang, M Tan… - arxiv preprint arxiv …, 2018‏ - arxiv.org
Multimodal wearable sensor data classification plays an important role in ubiquitous
computing and has a wide range of applications in scenarios from healthcare to …

Neptune: Real time stream processing for internet of things and sensing environments

T Buddhika, S Pallickara - 2016 IEEE international parallel and …, 2016‏ - ieeexplore.ieee.org
Improvements in miniaturization and networking capabilities of sensors have contributed to
the proliferation of Internet of Things (IoT) and continuous sensing environments. Data …

Big autonomous vehicular data classifications: Towards procuring intelligence in ITS

A Daniel, K Subburathinam, A Paul, N Rajkumar… - Vehicular …, 2017‏ - Elsevier
For effectively utilization of acquired resources in Autonomous Vehicle (AV), big data
analysis in real time will be a reliable way to produce valuable information from sensor data …

A study on modern messaging systems-kafka, rabbitmq and nats streaming

T Sharvari, K Sowmya Nag - CoRR abs/1912.03715, 2019‏ - arxiv.org
Distributed messaging systems form the core of big data streaming, cloud native
applications and microservice architecture. With real-time critical applications there is a …

A scalable architecture for real-time stream processing of spatiotemporal IoT stream data—Performance analysis on the example of map matching

M Laska, S Herle, R Klamma… - … International Journal of …, 2018‏ - mdpi.com
Scalable real-time processing of large amounts of data has become a research topic of
particular importance due to the continuously rising amount of data that is generated by …