{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853868","patent":{"patent_number":"US-9853868","title":"Type-to-type analysis for cloud computing technical components","assignee":null,"inventors":[],"filing_date":"2015-08-21T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04L","G06F","G06F","G06F","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L"],"num_claims":13,"abstract":"Cloud computing has emerged as an extremely popular implementation option for a wide range of computing services. However, provisioning services into the cloud is an extremely difficult technical challenge. This is due in part to the regular emergence of new cloud service providers, as well as the routine changing and reconfiguration of the disparate computing platforms, services, assets, supported technical components, and other features offered by the service providers. An analysis architecture determines how to map a particular technical component into the execution environment of any particular service provider."},"analysis":{"summary":"The Type-to-type Analysis for Cloud Computing Technical Components patent addresses the challenge of provisioning services in the cloud, particularly given the evolving landscape of cloud service providers and their diverse offerings. The core innovation is an analysis architecture that determines how to optimally map a specific technical component into the execution environment of any cloud service provider. This system solves the problem of manual configuration and adaptation, which is labor-intensive and prone to errors. By automating the mapping process, it significantly reduces the time and resources required for cloud provisioning. The key technical approach involves analyzing the technical characteristics of the component, maintaining a catalog of cloud service provider capabilities, and employing an optimization algorithm to determine the best mapping. The business value lies in the improved efficiency of cloud resource allocation, cost savings, and enhanced service quality. The market opportunity is substantial, as organizations increasingly rely on cloud computing and seek solutions to simplify cloud management and integration. This technology has the potential to transform the way organizations approach cloud computing, making it more accessible and manageable.","layman_explanation":"Type-to-type Analysis for Cloud Computing Technical Components addresses a key challenge in cloud computing: the complexity of making different technical components work together seamlessly across various cloud platforms. Imagine you're trying to build a system that uses software from different companies. Each software might have its own requirements and ways of working, making it difficult to integrate them effectively. This is where the invention comes in.\n\nThis technology acts like a smart translator and organizer. It analyzes each technical component and figures out the best way to map it into the specific environment of a particular cloud provider. Instead of manually configuring each component, this system automates the process, saving time and reducing the risk of errors. It's like having a universal adapter that allows you to plug any device into any outlet, regardless of the voltage or plug type.\n\nThe importance of this technology lies in its ability to streamline cloud operations and reduce costs. By automating the mapping of technical components, it minimizes the need for manual intervention and ensures that resources are used efficiently. This can lead to significant cost savings and improved performance. The invention also enables businesses to take advantage of the best features of different cloud providers without being limited by compatibility issues. This results in a more flexible and scalable cloud infrastructure, which is essential for organizations that need to adapt quickly to changing market conditions.\n\nLooking ahead, this technology has the potential to become a standard component of cloud management platforms. As more organizations adopt hybrid and multi-cloud strategies, the need for seamless integration and interoperability will become even greater. This invention provides a valuable tool for addressing this need and enabling businesses to unlock the full potential of cloud computing.","technical_analysis":"The Type-to-type Analysis for Cloud Computing Technical Components patent details a system for automating the mapping of technical components across diverse cloud environments. The technical architecture comprises several key modules, including a Component Analysis module, a Cloud Service Provider Catalog, an Optimization Algorithm, and a Configuration Generation module. The Component Analysis module analyzes the technical characteristics of the component, including its dependencies, resource requirements, and performance constraints. The Cloud Service Provider Catalog maintains a comprehensive database of the capabilities and limitations of different cloud service providers. The Optimization Algorithm employs a multi-objective optimization approach to map the component to the most suitable execution environment, considering factors such as cost, performance, and security. The Configuration Generation module generates the necessary configuration files and deployment scripts to provision the component in the chosen environment.\n\nThe implementation details involve the use of machine learning techniques to learn from past deployments and improve the accuracy of the predictions made by the Optimization Algorithm. The system also incorporates mechanisms for handling failures and ensuring high availability. If a component fails in one environment, the system automatically re-maps it to another environment, minimizing downtime and ensuring business continuity. The integration patterns involve the use of APIs and other interfaces to connect to different cloud service providers. The system is designed to be extensible, allowing it to support new cloud service providers and technical components as they become available.\n\nThe performance characteristics of the system are influenced by several factors, including the size and complexity of the technical components, the number of cloud service providers supported, and the performance of the underlying hardware. The code-level implications involve the use of efficient data structures and algorithms to minimize the computational overhead of the mapping process. The system also incorporates caching mechanisms to reduce the latency of frequently accessed data. The long-term implications suggest a shift towards more automated and intelligent cloud management systems. By leveraging machine learning and optimization techniques, organizations can automate many of the tasks that are currently performed manually, leading to significant cost savings, improved efficiency, and increased agility.","business_analysis":"The Type-to-type Analysis for Cloud Computing Technical Components patent presents a significant market opportunity in the rapidly growing cloud computing sector. The market opportunity size is substantial, as organizations increasingly rely on cloud computing and seek solutions to simplify cloud management and integration. The competitive advantages of this technology include its ability to automate the mapping of technical components, optimize resource utilization, and ensure seamless integration across diverse cloud environments. The revenue potential is significant, as organizations are willing to pay for solutions that can reduce costs, improve efficiency, and enhance service quality.\n\nThe business models that can be used to commercialize this technology include licensing, subscription, and managed services. The strategic positioning involves targeting organizations that are struggling with the complexities of cloud management and integration. The ROI projections are attractive, as the technology can deliver significant cost savings and improved efficiency. This innovation enables businesses to streamline their cloud operations, reduce operational costs, and improve the overall efficiency of their cloud infrastructure. It also allows for better resource allocation, leading to optimized performance and reduced waste.\n\nThe commercial applications span across various industries, including finance, healthcare, and technology. The ability to automate and optimize cloud provisioning is particularly valuable for organizations that operate in highly regulated environments, where compliance and security are paramount. The overall impact is a more efficient and cost-effective cloud infrastructure, enabling businesses to focus on innovation and growth. The market opportunity is further amplified by the increasing adoption of hybrid and multi-cloud strategies, which require seamless integration and interoperability across different cloud platforms.","faqs":null,"topics":["cloud computing","cloud provisioning","technical component mapping","cloud service providers","automation","analysis","cloud","computing"],"tech_cluster":null},"seo":{"title":"Type-to-type Analysis for Cloud Computing Technical Components - US-9853868","description":"Automate cloud provisioning with Type-to-type Analysis for Cloud Computing Technical Components. This patent maps technical components across diverse cloud environments.","keywords":["cloud computing","cloud provisioning","technical component mapping","cloud service providers","automation","patent","patent US-9853868"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853868","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9853868","citation_suggestion":"Patentable. \"Type-to-type analysis for cloud computing technical components\" (US-9853868). https://patentable.app/patents/US-9853868","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853868","json":"https://patentable.app/api/llm-context/US-9853868","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T00:26:22.113Z"}