Survey of distributed computing frameworks for supporting big data analysis
Distributed computing frameworks are the fundamental component of distributed computing
systems. They provide an essential way to support the efficient processing of big data on …
systems. They provide an essential way to support the efficient processing of big data on …
On-edge multi-task transfer learning: Model and practice with data-driven task allocation
On edge devices, data scarcity occurs as a common problem where transfer learning serves
as a widely-suggested remedy. Nevertheless, transfer learning imposes heavy computation …
as a widely-suggested remedy. Nevertheless, transfer learning imposes heavy computation …
Data-driven task allocation for multi-task transfer learning on the edge
Edge computing for machine learning has become a heated research topic. On edge
devices, data scarcity occurs as a common problem where transfer learning serves as a …
devices, data scarcity occurs as a common problem where transfer learning serves as a …
A novel genetic algorithm based scheduling for multi-core systems
Scheduling in a multi-core system is a crucial and commonly known as NP-complete
problem. In this paper, we have addressed the scheduling problem by a genetic algorithm …
problem. In this paper, we have addressed the scheduling problem by a genetic algorithm …
Gravitational search algorithm based novel workflow scheduling for heterogeneous computing systems
The significance of workflow applications (WAs) in various domains like, scientific
experiments, research, education, health-care, etc. is increasing with the technological …
experiments, research, education, health-care, etc. is increasing with the technological …
A novel scheduling with multi-criteria for high-performance computing systems: an improved genetic algorithm-based approach
Scheduling in high-performance computing systems is experiencing potential challenges in
modern computing applications due to different application sizes, computational …
modern computing applications due to different application sizes, computational …
A novel approach using modified filtering algorithm (MFA) for effective completion of cloud tasks
In today's era, cloud computing has played a major role in providing various services and
capabilities to a number of researchers around the globe. One of the major problems we …
capabilities to a number of researchers around the globe. One of the major problems we …
Shadho: Massively scalable hardware-aware distributed hyperparameter optimization
Computer vision is experiencing an AI renaissance, in which machine learning models are
expediting important breakthroughs in academic research and commercial applications …
expediting important breakthroughs in academic research and commercial applications …
A novel energy efficient scheduling for high performance computing systems
One of the prime concern of modern computing world is to optimize energy consumption by
an efficient scheduling algorithm. The scheduling process is an NP-complete problem and …
an efficient scheduling algorithm. The scheduling process is an NP-complete problem and …
[HTML][HTML] A novel resource aware scheduling with multi-criteria for heterogeneous computing systems
Multi-criteria scheduling for heterogeneous computing systems (HCSs) is one of the prime
concerns of modern computing world. It is an NP-complete problem. In this paper, we have …
concerns of modern computing world. It is an NP-complete problem. In this paper, we have …