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This paper presents our latency hiding framework for access to big data in a constrained digital ecosystem with application to digital medical archives. Aiming to enhance ubiquitous access of big data such as patient-oriented access of medical archives, we apply complex/multi-context prefetching to reduce latency thereby improving response time. We propose a formal model for prefetch requests rate and network workload or stress bound that takes into account a diverse set of constraints adoi:10.1145/2457276.2457292 dblp:conf/medes/MequanintBLC12 fatcat:au2fcfoui5c67gjlz3oj4irspy