Cluster Computing

Foundation and Large Language Models (FLLMs) are models that are trained using a massive amount of data with the intent to perform a variety of downstream tasks. FLLMs are very promising drivers for different domains, such as Natural Language ...

It is difficult to manage massive amounts of data in an overlying environment with a single server. Therefore, it is necessary to comprehend the security provisions for erratic data in a dynamic environment. The authors are concerned about the ...

Traditional scheduling techniques are designed to reduce processing times while disregarding energy costs. One way of lowering energy usage is to implement scheduling strategies that distribute tasks to specified resources, which influence the ...

Super-computing or HPC clusters are built to provide services to execute computationally complex applications. Generally, these HPC applications involve large scale IO (input/output) processing over the networked parallel file system disks. They ...

Designing a cost-effective, energy-efficient and highly scalable network for data centers that can deliver sufficient bandwidth has drawn tremendous attentions recently. The data center networks constructed by using multi-port servers can provide ...

With the increase interest and number of the users in Social media, the file handling has also increased. To manage the load, cloud servers are being used by the service providers. To identify and cluster file is a difficult task that is important ...

Based on virtualization technologies, virtual machines (VMs) provide computing services and network resources for cloud users over the Internet. When cloud users use VMs for an extended period of time, requests generated by other cloud users are ...

Clustering is an important technique for data mining and machine learning. In this paper, a novel clustering algorithm, scale division and region growing (SRG), is proposed, which is based on scale division and region growing. This method uses the ...

Given the complexity and wide range of applications being developed for the Internet of Things (IoT) requiring an efficient mapping of application tasks in hardware resources, especially embedded systems, it is necessary to address the problem of ...

As the performance of Radio Frequency Identification (RFID) devices is susceptible to the influence of the surrounding environment, making the original data collected by RFID devices with uncertain, of which missed data and redundant data are the ...

Today, Fog computing plays an important role in minimizing service delivery delays and network relaxation. So many architectures with different purposes are presented in the Fog environment. One of the major drawbacks of most of these ...

Fog computing has become a state-of-art technology for cloud applications in collaboration with physical IOT devices on the edge of the network.We propose a Fog of Things (FOT) framework for optimized resource allocation to manage issues of over ...

Image enhancement is an essential step in image analysis and processing as it helps people to recognize and understand images because their perception is greatly influenced by image quality. Incomplete beta function (IBF) is a broadly employed ...

Internet of Things (IoT) is a rapidly expanding technology composed of devices embedded with sensors, specialized hardware, and software to connect with other devices and servers on the internet. With this rapid expansion, it faces some major ...

The emergence of new complex technologies, such as cloud and quantum computing, has a complicated computational structure, which can compromise the security of traditional cryptographic protocols. It has been noted that traditional security ...

Many real-world applications require real-time and robust positioning of Internet of Things (IoT) devices. In this context, visible light communication (VLC) is a promising approach due to its advantages in terms of high accuracy, low cost, ...

The computing device deployment explosion experienced in recent years, motivated by the advances of technologies such as Internet-of-Things (IoT) and 5G, has led to a global scenario with increasing cybersecurity risks and threats. Among them, ...

The social media world nowadays is overwhelmed with unfiltered content ranging from cyberbullying and cyberstalking to hate speech. Therefore, identifying and cleaning up such toxic language presents a big challenge and an active area of research. ...

In the last decade, cloud computing has become an effective and efficient service delivery platform to offer resources, innovation, and economies of scale on telecommunication networks. An allocation scheme without security constraints ...

Numerous data centers have adopted heterogeneous computing server to accelerate the processing speed with various applications. However, as the growth of efficiency, the issue of high power consumption is increasingly becoming crucial. Traditional ...

Newly devised fifth-generation (5G) and sixth-generation (6G) networks next-generation networks are extremely secure, low latency, dependable, and versatile. These next-generation networks differ from traditional networks (1G to 4G). As these ...

In the era of big data, the number of science and technology service resources has proliferated, and the integration and clustering of science and technology documents become a challenging issue. This paper proposes a novel meta-heuristic ...

The Covid-19 pandemic caused uncertainties in many different organizations, institutions gained experience in remote working and showed that high-quality distance education is a crucial component in higher education. The main concern in higher ...

With the rapid development of cloud computing technology and the broad application of the Internet, more and more user data are stored in the cloud storage system online. Data copy technology is an effective technical means to manage various data ...

The centralized storage and centralized authorization approach in medical information systems can lead to data tampering and private information privacy leakage, while the traditional access control model has an overly simple authentication ...

Energy consumption forecasting is a hot field of research; despite the number of developed models, projecting electric consumption in residential buildings remains problematic owing to the significant unpredictability of occupant energy use ...

The development of large-scale cluster intelligence will inevitably lead to new problems of adversarial game control. Aiming at the problem of high dimension and high dynamics in the process of unmanned aerial vehicle (UAV) cluster confrontation ...

Analogy-based software effort estimation (ASEE) plays an important role in software development. It attracts the attention of researchers nowadays due to the simplicity of the ASEE reasoning method. ASEE reasoning is considered simple because it ...

As a pandemic, the primary evaluation tool for coronavirus (COVID-19) still has serious flaws. To improve the existing situation, all facilities and tools available in this field should be used to combat the pandemic. Reverse transcription ...

Multiple benefits (submitting healthcare bills to one or more organizations) and data breaches (tampering of healthcare data by healthcare organization authorities) are typical frauds happening due to the centralization of authority in healthcare ...