Mobile application offloading is a critical issue in mobile edge computing environments. This study explores the concept of scheduling tasks based on containers in a Mobile Edge Computing, using container technology. In this paper, we introduce ...

Federated learning is a promising privacy-preserving paradigm for collaboratively training global machine learning models across distributed devices. However, traditional federated learning encounters difficulties in training global model and ...

Serverless computing has attracted many researchers with features such as scalability and optimization of operating costs, no need to manage infrastructures, and build programs at a higher speed. Serverless computing can be used for real-time ...

The rapid growth and increasing popularity of cloud services have made effective resource management and energy consumption in data centers crucial. Virtual Machine (VM) consolidation is a widely adopted strategy to reduce energy consumption and ...

Workload prediction is the key technology for elastic resource management in cloud platforms, and the prediction accuracy affects the efficiency of elastic management. However, a multitude of workload sequences have the characteristics of short-...${}^{\mathrm{}}$

In the Internet of Things (IoT) era, the demand for efficient and responsive computing systems has surged. Edge computing, which processes data closer to the source, has emerged as a promising solution to address the challenges of latency and ...

The cold start problem in serverless computing leads to increased latency when functions are invoked after being idle. This paper proposes a predictive pre-warming strategy that leverages machine learning and historical data analysis to mitigate ...

As cloud computing continues to evolve, optimizing resource utilization and enhancing system efficiency have become preeminent objectives. Efficient VM migration and dynamic virtual machine consolidation strategies stand as pivotal solutions in ...

Scientific ensemble workflows are commonly executed in Infrastructure-as-a-Service clouds for high-performance computing. The dynamic pricing of spot instances offers a cost-effective way for users to rent cloud resources. However, these instances ...

Real-time data processing systems are required to manage large volumes of data and deliver instant feedback. These systems are typically constructed on distributed processing architectures, where addressing the challenges of preventing deadlocks, ...

In recent years, the demand for computing resources in daily life has risen due to the rapid development of smart terminal devices. Cloud computing facilities may not be able to handle the massive amounts of data that will be generated in the ...$$

In modern cloud-based computing through pooled resources, service providers must ensure resource accessibility. The migration of workloads to the cloud necessitates careful planning, including the provision of a sufficient number of easily ...

Offering cloud resources to consumers presents several difficulties for cloud service providers. When utilizing resources efficiently in cloud and edge contexts, precisely forecasting workload is a crucial problem. Accurate workload prediction ...

The Internet of Things (IoT) technology has become a transformative force in both information and industrial sectors, enabling devices to collect and exchange data. The exponential growth of IoT devices has led to increased big data generation on ...

Accurate prediction of workloads is the key to influencing elastic resource management scaling in cloud platforms. There are a large number of workloads with few sampling points and short-run cycles in cloud platforms. They have the problem of ...

Evaluating GPU compute instances for High Performance Computing (HPC) and Artificial Intelligence (AI) applications in the cloud involves complex decision-making processes. This research applies the Technique for Order of Preference by Similarity ...

Cloud computing offers demand-based allocation of required resources to its clients ensuring optimal use of resources in a cost-effective manner. However, due to the massive increase in demand for physical resources by datacenters cloud management ...

Serverless computing is one of the latest technologies that has received much attention from researchers and companies in recent years since it provides dynamic scalability and a clear economic model. Serverless computing enables users to pay only ...