Determining what part of the content is to be cached? When is the most appropriate time for caching?
How would the object be cached (placed and replaced) and also what path would the object be cached?
Thus, this paper span through some selected ICN architectures and projects to investigate and suggest
forms of caching in minimizing the total bandwidth consumption, enhanced Delivery of Service (DoS),
reduced upwards and downward streaming.
The caching influencing factors can further be elabo-rated as:
(a) Frequency – in number terms, how many requests are posted or how frequent is an object requested for?
(b) Recency – the time an object or content was referred to or demanded for
(c) Size – the size of a content
(d) Cost of retrieval – the cost incurred to retrieve the content or object
(e) Time of update – a modification in the cache
(f) Replacement – the best time a content becomes less relevant