Latest 15 Papers - April 22, 2025
Latest 15 Papers - April 22, 2025
Confidential Computing
Confidential computing is a rapidly growing field that focuses on protecting sensitive data and applications from unauthorized access. In this section, we will explore the latest papers in confidential computing, including architecture, security, and performance analysis.
- An Early Experience with Confidential Computing Architecture for On-Device Model Protection: This paper presents an early experience with confidential computing architecture for on-device model protection. The authors propose a novel architecture that combines hardware and software components to protect machine learning models from unauthorized access.
- Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training: This paper characterizes the overheads of GPU Trusted Execution Environment (TEE) in distributed data parallel machine learning training. The authors analyze the performance of GPU TEE and identify potential bottlenecks.
- Transparent Attested DNS for Confidential Computing Services: This paper proposes a transparent attested DNS system for confidential computing services. The authors design a system that enables secure and transparent communication between clients and servers.
Serverless
Serverless computing is a cloud computing model that allows developers to deploy applications without managing servers. In this section, we will explore the latest papers in serverless computing, including architecture, performance analysis, and security.
- Trabant: A Serverless Architecture for Multi-Tenant Orbital Edge Computing: This paper proposes a serverless architecture for multi-tenant orbital edge computing. The authors design a system that enables secure and efficient communication between clients and servers.
- ICPS: Real-Time Resource Configuration for Cloud Serverless Functions Considering Affinity: This paper proposes a real-time resource configuration system for cloud serverless functions considering affinity. The authors design a system that enables efficient and secure resource allocation.
- Serverless Approach to Running Resource-Intensive STAR Aligner: This paper proposes a serverless approach to running resource-intensive STAR aligner. The authors design a system that enables efficient and secure execution of resource-intensive applications.
Container
Containerization is a lightweight and portable way to deploy applications. In this section, we will explore the latest papers in containerization, including security, performance analysis, and architecture.
- Robust Containment Queries over Collections of Trimmed NURBS Surfaces via Generalized Winding Numbers: This paper proposes a robust containment query system for collections of trimmed NURBS surfaces via generalized winding numbers. The authors design a system that enables efficient and secure containment queries.
- Container-level Energy Observability in Kubernetes Clusters: This paper proposes a container-level energy observability system for Kubernetes clusters. The authors design a system that enables efficient and secure energy monitoring.
- An Enhanced Iterative Deepening Search Algorithm for the Unrestricted Container Rehandling Problem: This paper proposes an enhanced iterative deepening search algorithm for the unrestricted container rehandling problem. The authors design a system that enables efficient and secure container rehandling.
Additional Information
Please check the Github page for a better reading experience and more papers.
Conclusion
In this article, we have explored the latest papers in confidential computing, serverless computing, and containerization. These papers propose novel architectures, security systems, and performance analysis techniques that enable efficient and secure deployment of applications. We hope that this article provides valuable insights and information for researchers and developers in these fields.
Q&A: Latest 15 Papers - April 22, 2025
Confidential Computing
Q: What is confidential computing? A: Confidential computing is a rapidly growing field that focuses on protecting sensitive data and applications from unauthorized access.
Q: What are some of the key challenges in confidential computing? A: Some of the key challenges in confidential computing include ensuring the security and integrity of sensitive data, protecting against unauthorized access, and maintaining performance and efficiency.
Q: What are some of the latest developments in confidential computing? A: Some of the latest developments in confidential computing include the use of hardware-based security features, such as Trusted Execution Environments (TEEs), and the development of software-based security solutions, such as secure enclaves.
Q: How can confidential computing be applied in real-world scenarios? A: Confidential computing can be applied in a variety of real-world scenarios, including cloud computing, edge computing, and IoT applications.
Serverless
Q: What is serverless computing? A: Serverless computing is a cloud computing model that allows developers to deploy applications without managing servers.
Q: What are some of the key benefits of serverless computing? A: Some of the key benefits of serverless computing include increased scalability, reduced costs, and improved efficiency.
Q: What are some of the key challenges in serverless computing? A: Some of the key challenges in serverless computing include ensuring security and reliability, managing costs, and optimizing performance.
Q: What are some of the latest developments in serverless computing? A: Some of the latest developments in serverless computing include the use of containerization, the development of serverless frameworks, and the integration of serverless computing with other cloud services.
Q: How can serverless computing be applied in real-world scenarios? A: Serverless computing can be applied in a variety of real-world scenarios, including web development, mobile app development, and IoT applications.
Container
Q: What is containerization? A: Containerization is a lightweight and portable way to deploy applications.
Q: What are some of the key benefits of containerization? A: Some of the key benefits of containerization include increased portability, reduced costs, and improved efficiency.
Q: What are some of the key challenges in containerization? A: Some of the key challenges in containerization include ensuring security and reliability, managing dependencies, and optimizing performance.
Q: What are some of the latest developments in containerization? A: Some of the latest developments in containerization include the use of container orchestration tools, the development of container networking, and the integration of containerization with other cloud services.
Q: How can containerization be applied in real-world scenarios? A: Containerization can be applied in a variety of real-world scenarios, including web development, mobile app development, and IoT applications.
Conclusion
In this Q&A article, we have explored some of the key questions and answers related to confidential computing, serverless computing, and containerization. These technologies are rapidly evolving and have the potential to transform the way we develop and deploy applications. We hope that this article provides valuable insights and information for researchers and developers in these fields.