Application domains such as automotive and the Internet of Things may benefit from in-network computing to reduce the distance data travels through the network and the response time. Information Centric Networking (ICN) based compute frameworks such as Named Function Networking (NFN) are promising options due to their location independence and loosely-coupled communication model. However, unlike current operations, such solutions may benefit from orchestration across the compute nodes to use the available resources in the network better. In this paper, we adopt the State Vector Synchronization (SVS), an application dataset synchronization protocol in ICN, to enhance the neighborhood knowledge of in-network compute nodes in a distributed fashion. As such, we design distributed coordination for in-network computation (DICer) that assists the service deployments by improving the resolution of compute requests. We evaluate the performance of DICer against NFN and observe an increase in the resource utilization at the edge and a reduction in the request completion time.@en

Quality of Service (QoS) is a crucial mechanism where the network manages its finite resources to meet the demands promised for some applications at the cost of forsaking some other applications' needs. Information Centric Networking (ICN), although great at features such as name based addressing, decoupling host from data, in network caching, etc., still offers best effort service. This restricts the network suitability for safety critical applications such as tele-operated driving or real-time multimedia applications that often demand guaranteed bandwidth and delay. Reserving sufficient resources as well as establishing an admission control mechanism is one way to ensure performance guarantees. We present a paper emphasizing the need for a "better than best-effort service" in Named Data Networking (NDN), the functionalities to fulfil for a QoS mechanism and the open challenges in establishing resource reservation in NDN.@en