In Y1, we focused our effort to establish global-scale ICN testbeds specifically for large deployments. For local testbeds, first, CUTEi, a novel framework to build unified testbeds for ICN with linux containers to share testbed’s hardware resources among different users is deployed, while the second tool vICN is designed as general-purpose management and orchestration tool for ICN testbed and is part of CICN project. The experience in deploying CUTEi and vICN is reported. Experience with NDN testbed is reported & some of its limitations are shown. GEÁNT Testbed Service (GTS) is proposed to both create an independent and isolated global-scale ICN testbed or to extend functionalities of existing testbeds (e.g. NDN testbed). We mainly accumulated experience with these tools and platforms and executed some early experiments. In particular, the implementation of a congestion feedback mechanism for NDN is shown and tested on a local CUTEi-based testbed. For details, please look at public deliverables D2.1 D3.1 and D4.1. In Y2, we developed live video streaming application comprising of edge computing and ICN. We provide a new methods on evolutionary deployable ICN and provide a new architecture named NEO and support this further with testbed validations. We also have three new solutions: a keyword based ICN platform, exploit pub/sub for data retrieval and fCOPSS for using name based pub/sub for IoT. We also have a lightweight named object method for programming and managing IoT devices. we have significantly improved NeMoI for network mobility and provide there new solutions namely “MAP-Me” for managing anchor-less producer mobility in ICN, “Track” for tracking system for moving objects and “EdgRepo” for mobile data repositories at the edge for supporting producer mobility. We provide four new solutions that propose in-device proxy re-encryption service for access control in ICN, route advertisement scheme for region control on ICN, provide emergency message delivery with source location verification and securing outsourcing of computations. A new testbed tool for CICN has been devised as an update of LURCH and Grid 5000. We also deployed a new local testbed infrastructure at URO to carry out experiments on high speed ICN routers, IoT, and ICN NoSQL databases. We evaluated the inter-operability feature in cefore that is newly supported with ICN platform in CUTEi testbed. We also designed, deployed and tested a EU-JP federated testbed made of a vertical integration between CUTEi testbed (JP) and Geant Testbed Service (EU), with the support of a gateway node deployed in URO. We designed, developed and tested an ICN 360 video streaming application with edge transcoding also presented at CEBIT exhibition. For further details, please take a look at the publicly available deliverable D2.2 D3.2 and D4.2. In Y3, we further enhanced our video and crowd-sensing applications. In the video application, research and tests based enhancements to our e360 application was made. Edge computing support was provided to the e360 applicaiton in order to enhance performance. The crowd sensing application was enhanced with an object identification mechanism which leveraged machine learning, edge computing and pub/sub features in order to take in support from people in a certain area to search for a missing object/person. We ran tests both on the local as well as the integrated testbed. For further details, please take a look at the publicly available deliverable D2.3 D3.3 and D4.3.
