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Edge computing has received significant attention from both academic and industrial research circles. The paradigm aims to decentralize the existing cloud infrastructure by incorporating resources co-located alongside its client. Researchers have also proposed solutions for a fully decentralized crowdsourced compute paradigm enabled by Distributed Ledger Technologies (DLTs). This paper investigates the rationale behind DLTs over crowdsourced resource marketplaces to support the requirements of latency-critical applications targeted by edge computing. We develop a fully configurable NEtworked Blockchain emULAtor, or NEBULA, to scrutinize the internal performance bottlenecks of DLTs. We evaluate two blockchain categories - proof-based (popularly used in Bitcoin, Ethereum) and hybrid consensus and find that the enabling factor of DLTs -scale - is also its primary latency contributor. We show that, in reality, the latency overheads due to DLT operation far exceed the operational requirements of edge applications.