Business data sharing through data marketplaces: A systematic literature review

AE Abbas, W Agahari, M Van de Ven… - Journal of Theoretical …, 2021 - mdpi.com
Data marketplaces are expected to play a crucial role in tomorrow's data economy, but such
marketplaces are seldom commercially viable. Currently, there is no clear understanding of …

Data market design: A systematic literature review

SW Driessen, G Monsieur, WJ Van Den Heuvel - Ieee access, 2022 - ieeexplore.ieee.org
Data markets are platforms that provide the necessary infrastructure and services to facilitate
the exchange of data products between data providers and data consumers from different …

Competitive data trading model with privacy valuation for multiple stakeholders in IoT data markets

H Oh, S Park, GM Lee, JK Choi… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the widespread of Internet-of-Things (IoT) environment, a big data concept has
emerged to handle a large number of data generated by IoT devices. Moreover, since data …

Preserving edge knowledge sharing among IoT services: A blockchain-based approach

G Li, M Dong, LT Yang, K Ota, J Wu… - ieee transactions on …, 2020 - ieeexplore.ieee.org
Edge computational intelligence, integrating artificial intelligence (AI) and edge computing
into Internet of Things (IoT), will generate many scattered knowledge. To enable auditable …

Cost-effective web application replication and deployment in multi-cloud environment

T Shi, H Ma, G Chen, S Hartmann - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Multi-cloud is becoming a popular cloud ecosystem because it allows enterprise users to
share the workload across multiple cloud service providers to achieve high-quality services …

Spatiotemporal task scheduling for heterogeneous delay-tolerant applications in distributed green data centers

H Yuan, J Bi, MC Zhou - IEEE Transactions on Automation …, 2019 - ieeexplore.ieee.org
A growing number of organizations deploy multiple heterogeneous applications in
infrastructures of distributed green data centers (DGDCs) to flexibly provide services to users …

Deep learning-based data storage for low latency in data center networks

Z Liao, R Zhang, S He, D Zeng, J Wang, HJ Kim - IEEE Access, 2019 - ieeexplore.ieee.org
Low-latency data access is becoming an upcoming and increasingly important challenge.
The proper placement of data blocks can reduce data travel among distributed storage …

Query interface for smart city internet of things data marketplaces: A case study

N Hamed, A Gaglione, A Gluhak, O Rana… - ACM Transactions on …, 2023 - dl.acm.org
Cities are increasingly becoming augmented with sensors through public, private, and
academic sector initiatives. Most of the time, these sensors are deployed with a primary …

Scalable and adaptive data replica placement for geo-distributed cloud storages

K Liu, J Peng, J Wang, W Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In geo-distributed cloud storage systems, data replication has been widely used to serve the
ever more users around the world for high data reliability and availability. How to optimize …

A learning-based data placement framework for low latency in data center networks

K Liu, J Peng, J Wang, B Yu, Z Liao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Low-latency data service is an increasingly critical challenge for data center applications. In
modern distributed storage systems, proper data placement helps reduce the data …