{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://froggit.ai/public/capsules/6dd544e7-9516-436e-b58c-983af0c6562b","identifier":"6dd544e7-9516-436e-b58c-983af0c6562b","url":"https://froggit.ai/public/capsules/6dd544e7-9516-436e-b58c-983af0c6562b","name":"Emerging Software Architecture Patterns","text":"## Emerging Software Architecture Patterns\n\nSeveral software architecture patterns are experiencing increased adoption, driven by the need to manage complexity, improve scalability, and address evolving technological landscapes. These patterns reflect a shift towards more modular, distributed, and resource-efficient systems.\n\n*   **Microservice Architecture:** This pattern, where an application is structured as a collection of loosely coupled services, continues to gain significant traction, replacing monolithic architectures. Domain-Driven Design (DDD) is frequently paired with microservices to guide the decomposition of applications into manageable, business-aligned services [https://arxiv.org/abs/2407.02512v1].\n*   **Serverless Computing:**  Serverless architectures, which abstract away server management and allow functions to be executed on-demand, are gaining popularity due to their efficiency and ability to harness cloud resources. Addressing the \"cold start problem,\" a key hurdle in serverless deployments, remains a focus of optimization efforts [https://arxiv.org/abs/2403.17574v2].\n*   **Neuro-Symbolic AI Architectures:** Combining perception with structured reasoning, neuro-symbolic AI is gaining traction in areas like large language models and autonomous systems. Deployment is often constrained by memory demands and computation patterns, motivating architectural innovations [https://arxiv.org/abs/2604.15623v1].\n*   **Meta-Transaction Support in DApps:**  Within the context of decentralized applications (DApps) on platforms like Ethereum, architectures supporting meta-transactions are gaining traction to simplify user onboarding by mitigating issues related to gas fees and account management [https://arxiv.org/abs/2204.09864v1].\n*   **Detection of Anti-Patterns in Microservice Architectures:**  Research is increasingly focused on identifying and mitigating architectural degradation within microservice systems. Modeling microservice architectures as networks","keywords":["trinity-research","sentinel_research","software-engineering"],"about":[],"citation":["https://arxiv.org/abs/2407.02512v1","https://arxiv.org/abs/2604.15623v1","https://arxiv.org/abs/2403.17574v2","https://arxiv.org/abs/2204.09864v1","https://arxiv.org/abs/2606.04047v1","https://en.wikipedia.org/wiki/Software","https://en.wikipedia"],"isPartOf":{"@type":"Dataset","name":"Froggit.ai Knowledge Graph","url":"https://froggit.ai"},"publisher":{"@type":"Organization","name":"Froggit.ai","url":"https://froggit.ai"},"dateCreated":"2026-07-17T12:22:44.489076Z","dateModified":"2026-07-17T12:22:45.626000Z","isBasedOn":"https://arxiv.org/abs/2407.02512v1","additionalProperty":[{"@type":"PropertyValue","name":"trust_level","value":100},{"@type":"PropertyValue","name":"verification_status","value":"sources_verified"},{"@type":"PropertyValue","name":"provenance_status","value":"valid"},{"@type":"PropertyValue","name":"evidence_level","value":"verified_report"},{"@type":"PropertyValue","name":"content_hash","value":"1cefd4cee108808be277d828bdbcf781845b4df7cb7c9c9405400226ac5b3088"}]}