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 ...

Recently, extensive research has been done on automated vehicles (AV) to increase vehicle and road safety. Because of the uncertainty involved in the environmental interactions of vehicles, classical methods such as testing and model checking ...

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 ...

Smart Street Lighting System (SSLS) is an intelligent outdoor lighting system with automated controls that enhances energy savings, safety, and city design, reducing operational costs and environmental impact. The need for better management and ...

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 ...$$

By increasing the number and variety of areas where IoT technology is being applied, the challenges regarding the design and deployment of IoT applications and services have recently become the subject of many studies. Many IoT applications are ...

The demand for computing resources, including storage and processing capabilities, has surged in recent years. For example, during the COVID-19 pandemic, many activities typically conducted using local resources transitioned to online platforms. ...

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 ...

DevOps, an advanced software engineering methodology widely adopted in the software development industry, facilitates the rapid release of features and versions to production environments. The term "DevOps" is a fusion of "Development" and "...

Vulnerability identification has been broadly studied as a way to improve cybersecurity. Internet of Things (IoT) ecosystems are considered particularly vulnerable as a whole, due to their widespread deployment, low processing ability, difficulty ...

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 ...

One of the most well-known names that has recently attained new heights and set a standard is Internet of Things (IoT). IoT aims to connect all physical devices in such a way that they are subject to human control over the Internet.The emergence ...