Bridging Cloud Convenience and Protocol Transparency: A Hybrid Architecture for Ethereum Node Operations on Amazon Managed Blockchain

• URL: http://arxiv.org/abs/2507.18774v1
• Date: Thu, 24 Jul 2025 19:55:35 GMT
• Title: Bridging Cloud Convenience and Protocol Transparency: A Hybrid Architecture for Ethereum Node Operations on Amazon Managed Blockchain
• Authors: S M Mostaq Hossain, Amani Altarawneh, Maanak Gupta,
• Abstract summary: This paper presents a hybrid, service-oriented architecture for deploying and monitoring full nodes using Amazon EC2-based observability, IAM-enforced security policies, and reproducible automation via the AWS Cloud Development Kit.<n>The proposed hybrid architecture enables secure, observable, and reproducible node operations in cloud environments, suitable for both research and production use.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: As blockchain technologies are increasingly adopted in enterprise and research domains, the need for secure, scalable, and performance-transparent node infrastructure has become critical. While self-hosted Ethereum nodes offer operational control, they often lack elasticity and require complex maintenance. This paper presents a hybrid, service-oriented architecture for deploying and monitoring Ethereum full nodes using Amazon Managed Blockchain (AMB), integrated with EC2-based observability, IAM-enforced security policies, and reproducible automation via the AWS Cloud Development Kit. Our architecture supports end-to-end observability through custom EC2 scripts leveraging Web3.py and JSON-RPC, collecting over 1,000 real-time data points-including gas utilization, transaction inclusion latency, and mempool dynamics. These metrics are visualized and monitored through AWS CloudWatch, enabling service-level performance tracking and anomaly detection. This cloud-native framework restores low-level observability lost in managed environments while maintaining the operational simplicity of managed services. By bridging the simplicity of AMB with the transparency required for protocol research and enterprise monitoring, this work delivers one of the first reproducible, performance-instrumented Ethereum deployments on AMB. The proposed hybrid architecture enables secure, observable, and reproducible Ethereum node operations in cloud environments, suitable for both research and production use.

Related papers

• Lightweight and High-Throughput Secure Logging for Internet of Things and Cold Cloud Continuum [2.156208381257605]
  We present Parallel Optimal Signatures for Secure Logging (POSLO), a novel digital signature framework.<n>POSLO offers constantsize signatures and public keys, near-optimal signing efficiency, and fine-to-coarse tunable verification for log auditing.<n>For example, POSLO can verify 231 log entries per second on a mid-range consumer GPU while being significantly more compact than state-of-the-art.
  arXiv  Detail & Related papers  (2025-06-10T13:26:36Z)
• PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of Experts [59.5243730853157]
  Large language models (LLMs) hosted on cloud servers alleviate the computational and storage burdens on local devices but raise privacy concerns.<n>Small language models (SLMs) running locally enhance privacy but suffer from limited performance on complex tasks.<n>We propose a privacy-aware wireless collaborative mixture of experts (PWC-MoE) framework to balance computational cost, performance, and privacy protection under bandwidth constraints.
  arXiv  Detail & Related papers  (2025-05-13T16:27:07Z)
• Privacy-Enhancing Paradigms within Federated Multi-Agent Systems [47.76990892943637]
  LLM-based Multi-Agent Systems (MAS) have proven highly effective in solving complex problems by integrating multiple agents, each performing different roles.<n>In this paper, we introduce the concept of Federated MAS, highlighting the fundamental differences between Federated MAS and traditional FL.<n>We then identify key challenges in developing Federated MAS, including: 1) heterogeneous privacy protocols among agents, 2) structural differences in multi-party conversations, and 3) dynamic conversational network structures.<n>To address these challenges, we propose Embedded Privacy-Enhancing Agents (EPEAgent), an innovative solution that integrates seamlessly into the Retrieval-Augmented Generation phase and the
  arXiv  Detail & Related papers  (2025-03-11T08:38:45Z)
• Optimizing Spot Instance Reliability and Security Using Cloud-Native Data and Tools [0.9307293959047378]
  "Cloudlab" is a comprehensive, cloud-native laboratory designed to support network security research and training.<n>By providing an adaptive and scalable environment, Cloudlab supports advanced security concepts such as role-based access control, Policy as Code, and container security.
  arXiv  Detail & Related papers  (2025-02-04T03:25:01Z)
• An Integrated Blockchain and IPFS Solution for Secure and Efficient Source Code Repository Hosting using Middleman Approach [0.9895793818721335]
  This study introduces a novel hybrid architecture combining the security of the blockchain and the InterPlanetary File System.<n>Our results demonstrate that this architecture achieves a secure, auditable, and resilient platform for source code hosting.
  arXiv  Detail & Related papers  (2024-09-22T16:57:38Z)
• Towards Secure Management of Edge-Cloud IoT Microservices using Policy as Code [6.200058263544999]
  IoT application providers increasingly use MicroService Architecture (MSA) to develop applications that convert IoT data into valuable information. The proposed framework contains a "control plane" to intelligently and dynamically utilise and configure cloud-native (i.e., container orchestrators and service mesh) technologies to enforce security policies. We implement a prototype of the proposed framework using open-source cloud-native technologies such as Docker, Istio, and Open Policy Agent to validate the framework.
  arXiv  Detail & Related papers  (2024-06-27T01:03:23Z)
• Enc2DB: A Hybrid and Adaptive Encrypted Query Processing Framework [47.11111145443189]
  We introduce Enc2DB, a novel secure database system following a hybrid strategy on and openGauss. We present a micro-benchmarking test and self-adaptive mode switch strategy that can choose the best execution path (cryptography or TEE) to answer a given query. We also design and implement a ciphertext index compatible with native cost model and querys to accelerate query processing.
  arXiv  Detail & Related papers  (2024-04-10T08:11:12Z)
• HasTEE+ : Confidential Cloud Computing and Analytics with Haskell [50.994023665559496]
  Confidential computing enables the protection of confidential code and data in a co-tenanted cloud deployment using specialized hardware isolation units called Trusted Execution Environments (TEEs) TEEs offer low-level C/C++-based toolchains that are susceptible to inherent memory safety vulnerabilities and lack language constructs to monitor explicit and implicit information-flow leaks. We address the above with HasTEE+, a domain-specific language (cla) embedded in Haskell that enables programming TEEs in a high-level language with strong type-safety.
  arXiv  Detail & Related papers  (2024-01-17T00:56:23Z)
• kube-volttron: Rearchitecting the VOLTTRON Building Energy Management System for Cloud Native Deployment [0.3655021726150368]
  A key technology component in building energy management is the building energy management system. VOLTTRON is a legacy software platform which enables building energy management. This paper describes a proof-of-concept prototype to rearchitect VOLTTRON into a collection of suitable for deployment on the cloud native container orchestration platform.
  arXiv  Detail & Related papers  (2022-10-26T18:04:22Z)
• Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum [55.6313942302582]
  We propose a methodology to support the optimization of real-life applications on the Edge-to-Cloud Continuum. Our approach relies on a rigorous analysis of possible configurations in a controlled testbed environment to understand their behaviour. Our methodology can be generalized to other applications in the Edge-to-Cloud Continuum.
  arXiv  Detail & Related papers  (2021-08-04T07:35:14Z)
• A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service [68.84245063902908]
  This paper introduces a novel distributed architecture for deep-learning-as-a-service. It is able to preserve the user sensitive data while providing Cloud-based machine and deep learning services.
  arXiv  Detail & Related papers  (2020-03-30T15:12:03Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.