From Cloud Services to Intent Based Services: Mehmet Toy’s Work in Next Generation Networks and Services

The architecture of telecommunications has changed dramatically as networks have moved from hardware centered infrastructure toward programmable, virtualized, and cloud connected systems. Mehmet Toy has been closely involved in this transformation, particularly in the development of cloud services architecture, service management, network automation, and intent-based technologies. Through research, industry work, standards development, and inventions, he has contributed to approaches designed to make complex networks more flexible and responsive to changing service requirements.

Toy’s work in cloud networking and services developed from his broader experience in telecommunications architecture. During his industry career, he worked with technologies ranging from optical and packet networks and services to email systems, IP multimedia systems, broadband systems, virtualization, and service delivery platforms. This experience gave him a practical understanding of how network and service infrastructures, and cloud resources could be brought together to deliver services in more efficient and adaptable ways.

An important milestone came with the establishment of the CloudEthernet Forum in May 2013, which later became Open Cloud Connect. Toy became the editor and author of its first industry standard, the Open Cloud Connect 1.0 Reference Architecture, published in December 2014. The work addressed the architecture of cloud connectivity, services over cloud and private networks, and provided a framework for managing services end-to-end through standardized approaches.

Toy subsequently brought the cloud architecture work into the MEF standards community. In 2016, he initiated the Cloud Services Architecture project within MEF and later served as editor for the committee work from 2018 through 2021. The resulting Cloud Services Architecture standard, published in September 2021 as MEF 68, established a broader architectural foundation for cloud services.

The importance of this work extended beyond a single standard. The architecture provided a basis for subsequent cloud related standards and contributed to the development of approaches for hybrid cloud environments, including combinations of private and public cloud resources. It also helped address the need for service providers to manage connectivity and cloud resources as parts of a coordinated service environment.

Toy’s work in this area also led to patented inventions concerning cloud service architectures and dynamic service modification. Dynamic modification is particularly relevant to modern networks because customer requirements can change after a service has already been ordered and deployed. Instead of treating a service as a fixed configuration, dynamic approaches allow network and cloud resources to be modified by customers and operators to adapt as requirements evolve.

This concept connects closely with Toy’s broader work on lifecycle service orchestration. Modern digital services can involve multiple network domains, cloud platforms, artificial intelligence/machine learning components, virtualized functions, and management systems. Managing these elements independently can create operational complexity. Toy’s architectural work has focused on methods for integrating these components so that services can be ordered, provisioned, modified, and managed through coordinated systems and standardized interfaces.

His work later expanded toward intent-based services. Intent-based networking seeks to move service management closer to the requirements expressed by customers or applications. Rather than requiring users to describe every technical parameter of a network configuration, an intent-based system can interpret the desired outcome and determine how underlying resources should be configured to achieve it.

Toy has worked on architectures and techniques for identifying customer intents, mapping those intents to services and network capabilities, and delivering the resulting services. His 2026 patent applications further reflect this direction, including intent-based service concepts, identification of customer intents, mapping of intents, and networks and services for intent delivery, with and without AI/ML algorithms.

Another major area of his work is the convergence of computing and networking. As cloud and edge computing have become increasingly distributed, the location and optimal sharing of computing and storage resources can influence network performance, service quality, and operational efficiency. Toy has worked on the compute-network convergence architecture and standardization, and optimization techniques designed to consider computing, storage, and connectivity together rather than as separate infrastructure layers.

This approach is particularly relevant to edge computing, where applications may require computing resources close to users or connected devices. It also connects with network slicing, virtualization, and automated service management, areas in which Toy contributed during his years at Verizon Communications. His work considered how services could be designed and managed across wireline, wireless, cloud, and virtualized environments.

Artificial intelligence and machine learning have added another dimension to this work. Toy’s current research and professional activities include the application of AI and machine learning to network and service management. His more recent patent work explores the use of these technologies in service and network design together with intent-based service techniques, pointing toward systems capable of translating high-level requirements into business service configurations.

The underlying objective across these areas is greater automation without losing control over complex infrastructure. Cloud services, intent-based networking, orchestration, and AI assisted management all address different parts of the same challenge: how to operate increasingly complicated networks while making services easier to design, deploy, modify, and maintain.

Toy’s role in this development has extended beyond individual companies. His contributions through MEF, ITU, and other industry organizations have helped translate architectural concepts into technical frameworks and standards. His work includes MEF 55.1, the Lifecycle Service Orchestration Reference Architecture and Framework, MEF 68, Cloud Services Architecture, MEF 76, Business Requirements and Use Cases for Service Control, and other standards and industry publications.

Today, the convergence of cloud computing, networking, automation, edge infrastructure, and artificial intelligence is reshaping how digital services are delivered. Toy’s work sits within this broader transition. From the early Open Cloud Connect architecture to cloud service standards, dynamic service modification, compute network convergence, and intent based service management, his contributions have followed the industry’s movement toward more programmable and intelligent infrastructure.

His work illustrates a shift in network engineering from simply connecting systems to creating architectures capable of understanding requirements, coordinating resources, and adapting services over time. That evolution continues to influence how service providers, enterprises, and technology organizations approach the design and management of next generation networks.