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Serverless computing is a new concept as cloud computing, which dynamically manages the networks and is applied in Serverless Wireless Sensor Networks (SWSN) to help the networks. These networks are becoming famous for monitoring various physical and environmental factors.

Abstract In this article we review the current serverless architectures, abstract and categorize their founding principles, and provide an in-depth security analysis. In particular, we: show the security shortcomings of the analyzed serverless architectural paradigms; point to possible countermeasures; and, highlight several research directions for practiti…

Abstract Serverless computing is stepping forward to provide a cloud environment that mainly focuses on managing infrastructure, resources and configurations on the behalf of a user.

Kedua metode memiliki kelebihan dan kekurangan, yaitu ukuran, performansi dan kecepatan prediksi yang berbeda beda sesuai kebutuhan. Model NER dapat diimplementasikan menjadi aplikasi Serverless, dengan menggunakan pendekatan Fungsional as Services (FaaS) dan Backend as Services (BaaS).

The main drawback of most of the solutions is that they increase the investment costs significantly. Therefore, this research aims to propose and build a Telepulse Framework which is cost-efficient, serverless solution for the fleet management problem with high development speed.

Serverless computing has introduced scalable event-driven processing in Cloud infrastructures. However, it is not trivial for multimedia processing to benefit from the elastic capabilities featured by serverless applications.

Serverless computing is a new concept allowing developers to focus on the core functionality of their code, while abstracting away the underlying infrastructure. Even though there are existing commercial serverless cloud providers and open-source solutions, dealing with the explosive growth of new Internet of Things (IoT) devices requires more efficient ban…

Recent years of cloud technology development have brought a sharp increase in interest in solutions known as serverless systems. Their performance, and thus usefulness in potential applications, strongly depends on the method of program implementation of specific tasks.

This paper proposes a scalable serverless architecture for real-time natural language processing (NLP) on large datasets using Amazon Web Services (AWS). The framework integrates AWS Lambda, Step Functions, and S3 to enable fully parallel sentiment analysis with Transformer-based models such as DistilBERT, RoBERTa, and ClinicalBERT.

The rapid proliferation of counterfeit products poses critical risks to Micro, Small, and Medium Enterprises (MSMEs), eroding consumer trust and hindering market competitiveness. This study proposes a Serverless Event-Driven Microservices Hybrid Blockchain Architecture to enable real-time, cost-efficient MSME product authentication.

Penelitian ini menyajikan analisis komparatif performa waktu respons antara arsitektur Serverless (berbasis kontainer AWS Lambda) dan Edge Computing (berbasis V8 Isolate). Evaluasi difokuskan pada penanganan beban komputasi CPU menggunakan framework Hono.js melalui eksekusi 1.000 request konkuren per platform.

Serverless edge computing adopts an event-based paradigm that provides back-end services and dynamically provisions resources as needed, resulting in efficient resource utilization.

Serverless edge computing adopts an event-based paradigm that provides back-end services and dynamically provisions resources as needed, resulting in efficient resource utilization.

The advancement of cloud computing technology has revolutionized the way companies build and deploy applications, offering unprecedented flexibility, scalability, and efficiency. One of the most significant innovations in this space is serverless computing, which allows developers to build and run applications without managing the underlying server infrastr…

Federated data meshes give domain teams ownership of their data products, and serverless compute is an attractive substrate for domain-owned writes. Both trends weaken correctness at publication.

Function-as-a-Service (FaaS) has become a central paradigm in serverless cloud computing, yet optimizing FaaS deployments remains challenging. Using function fusion, multiple functions can be combined into a single deployment unit, which can be used to reduce cost and latency of complex serverless applications comprising multiple functions.

While these approaches offer a high degree of control over execution environments, they may incur overheads and inefficiencies, especially with varying traffic levels. With serverless architecture, developers can deploy on cloud platforms that take care of much of the underlying infrastructure.

While these approaches offer a high degree of control over execution environments, they may incur overheads and inefficiencies, especially with varying traffic levels. With serverless architecture, developers can deploy on cloud platforms that take care of much of the underlying infrastructure.

Serverless computing hides infrastructure management from developers and runs code on-demand automatically scaled and billed during the code’s execution time. One of the most popular serverless backend services is called Function-as-a-Service (FaaS), in which developers are often confronted with cloud-specific requirements.