To understand the power of distributed systems, it is necessary to
understand their inherent limitations: what problems cannot be
solved in particular systems, or without sufficient resources (such
as time or space). This book presents key techniques for proving
such impossibility results and applies them to a variety of
different problems in a variety of different system models.
Insights gained from these results are highlighted, aspects of a
problem that make it difficult are isolated, features of an
architecture that make it inadequate for solving certain problems
efficiently are identified, and different system models are
compared.
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