Code refactoring from OpenMP to MapReduce model for big data processing
J Zhao, M Zhang, H Yang - … & Big Data Computing, Internet of …, 2019 - ieeexplore.ieee.org
In the multi-core era, much software has been developed using parallel programming
technology, such as OpenMP, to take full advantage of the CPU cores. Nevertheless, in the …
technology, such as OpenMP, to take full advantage of the CPU cores. Nevertheless, in the …
Automatic translation from Java to Spark
Cloud computing is a powerful infrastructure tool for scientific computing and research and
attracts many developers to deploy their products on it. Code migration from local to cloud …
attracts many developers to deploy their products on it. Code migration from local to cloud …
Creative Combination of Legacy System and Map Reduce in Cloud Migration
J Zhao, W Wang - International Journal of Performability …, 2019 - ijpe-online.com
With the advent of the big data era, the response speed of traditional legacy systems is
gradually unable to meet the requirements of users. Because legacy systems carry domain …
gradually unable to meet the requirements of users. Because legacy systems carry domain …
Code Refactoring Based on MapReduce in Cloud Migration
J Zhao, W Wang, H Yang - 2018 IEEE Intl Conf on Parallel & …, 2018 - ieeexplore.ieee.org
With the advent of big data era, the response speed of traditional legacy systems can no
longer meet the requirements of users. Many organizations are migrating their legacy …
longer meet the requirements of users. Many organizations are migrating their legacy …
A novel QoS negotiation model based on intelligent learning technique in clouds
D Liu, Y Li - International Journal of Networking and Virtual …, 2019 - inderscienceonline.com
As more and more high-end applications have been deployed on cloud platforms, the
quality-of-service (QoS) of cloud platform has become an important issue that need to be …
quality-of-service (QoS) of cloud platform has become an important issue that need to be …
Self-Configured Workflow Platform for MapReduce Job Execution in Cloud Environment
M Saadoon, N Admodisastro - 2022 Applied Informatics …, 2022 - ieeexplore.ieee.org
Hadoop MapReduce becomes the essential framework to store, process and analyse big
data in large-scale computing environments. The framework provides numerous …
data in large-scale computing environments. The framework provides numerous …
[PDF][PDF] Refactoring Java Code to MapReduce Framework (S).
R Feng, J Zhao - SEKE, 2021 - ksiresearch.org
Cloud computing has evolved into an infrastructure tool for scientific research and
computing application. For many enterprises, it has become a trend to migrate their …
computing application. For many enterprises, it has become a trend to migrate their …
[PDF][PDF] Fortran Code Refactoring Based on MapReduce Programming Mode l
W Gai, J Zhao, H Wu - ksiresearch.org
Fortran language has been widely used to solve computation-intensive tasks in science and
engineering. Due to the emergence of multi-core architecture, the pursuit of Fortran …
engineering. Due to the emergence of multi-core architecture, the pursuit of Fortran …
Scheduling Strategy of Space-based Satellite Based on Fireworks Algorithm under Cloud Computing
G Tian, C Liu, H Jiang - Proceedings of the 4th International Conference …, 2019 - dl.acm.org
The scheduling of space-based satellite missions in cloud computing environment is a
hotspot of current research. For the task completion time and the balance of virtual machine …
hotspot of current research. For the task completion time and the balance of virtual machine …
Manual and Automatic Translation From Sequential to Parallel Programming On Cloud Systems
B Li - 2018 - scholarworks.gsu.edu
Cloud computing has gradually evolved into an infrastructural tool for a variety of scientific
research and computing applications. It has become a trend for many institutions and …
research and computing applications. It has become a trend for many institutions and …