nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A Mobile IoT Device Simulator for IoT-Fog-Cloud Systems
|
Kertesz, A. |
|
2018 |
17 |
3 |
p. 529-551 |
artikel |
2 |
An Analysis of Research Trends on Data Mining in Chinese Academic Libraries
|
Huancheng, Liu |
|
2018 |
17 |
3 |
p. 591-601 |
artikel |
3 |
An Intelligent Data Service Framework for Heterogeneous Data Sources
|
Khan, Fakhri Alam |
|
2018 |
17 |
3 |
p. 577-589 |
artikel |
4 |
A Scalable Platform for Monitoring Data Intensive Applications
|
Drăgan, Ioan |
|
2019 |
17 |
3 |
p. 503-528 |
artikel |
5 |
A Survey on Global Management View: Toward Combining System Monitoring, Resource Management, and Load Prediction
|
Rosa Righi, Rodrigo da |
|
2019 |
17 |
3 |
p. 473-502 |
artikel |
6 |
Hybrid Cloud Adaptive Scheduling Strategy for Heterogeneous Workloads
|
Chunlin, Li |
|
2019 |
17 |
3 |
p. 419-446 |
artikel |
7 |
Performability Evaluation of a Cloud-Based Disaster Recovery Solution for IT Environments
|
Andrade, Ermeson |
|
2018 |
17 |
3 |
p. 603-621 |
artikel |
8 |
QVIA-SDN: Towards QoS-Aware Virtual Infrastructure Allocation on SDN-based Clouds
|
Souza, Felipe Rodrigo de |
|
2019 |
17 |
3 |
p. 447-472 |
artikel |
9 |
Resource Provisioning Based Scheduling Framework for Execution of Heterogeneous and Clustered Workloads in Clouds: from Fundamental to Autonomic Offering
|
Gill, Sukhpal Singh |
|
2018 |
17 |
3 |
p. 385-417 |
artikel |
10 |
The Incremental Load Balance Cloud Algorithm by Using Dynamic Data Deployment
|
Hsieh, Hui-Ching |
|
2019 |
17 |
3 |
p. 553-575 |
artikel |