## 2 (Com)2 INet: Communication and Computation Integrated Network Architecture
### Working Principle  
The working principle for implementing computing services in (Com)\({}^{2}\)INet architecture is depicted in Figure 4. The environment awareness module perceives computing service requirements, network functions, and multi-dimensional heterogeneous resources from both the communication and computation perspectives. To be specific, computing services measurement translates computing service requirements into actually required heterogeneous resources and customized network functions through intent translation to improve the efficiency of interaction with users. The network function measurement is to measure the heterogeneous resources required for different functions, so as to effectively understand the heterogeneous resources required for computing services call functions. The perceived translated services and heterogeneous resources are notified to scheduling problem modeling serverless platform for modeling multi-objective joint optimization with multi-network constraints. Customized network functions are chained, executed, and billed according to current services. Specifically, a serverless platform builds SCs for arrival services, and SCs schedule resources in the heterogeneous infrastructure pooling.  
During orchestrating phase, we establish scheduling mechanism from three perspectives: users, networks, and providers. First, the scheduling mechanism should adaptively satisfy various QoS requirements from a user's perspective, in terms of delay requirement, heterogeneous resources requirement, ultra-reliable transmission, and so forth. Then, the (Com)\({}^{2}\)INet infrastructure integrates awareness, forwarding, storage, computing, and processing capabilities, which puts forward greater flexibility requirements for network management. Moreover, an effective resource scheduling mechanism should enable the provider to obtain the maximum benefit to motivate more providers to participate in the communication and computation integrated (Com)\({}^{2}\)INet. Furthermore, the obtained scheduling mechanism is translated into the network configuration files, which guide the optimal network components to host required SCs to accomplish the computing service in serial or parallel manner.  
The (Com)\({}^{2}\)INet architecture introduces an identifier resolution system (e.g., CID, FID, NID) to integrate computing resources into a unified scheduling framework, enabling coordinated control and optimization of computing, networking and storage resources. This promotes a shift from \"connection-centric\" to \"service-centric\", providing computing power as a service. Furthermore, (Com)\({}^{2}\)INet architecture implements atomic-level multi-dimensional resource collaborative scheduling through unified identifiers, rather than limiting scheduling granularity to the virtual machine or container level, thereby eliminating service delays and resource waste. In summary, the (Com)\({}^{2}\)INet architecture can realize the mapping from computing service to a set of network components through the intelligent integration of multi-space and multi-dimensional heterogeneous resources, so as to facilitate dynamic and on-demand adjustment of services and networks.