  Migration legacy systems to cloud platforms is a knowledge intensive process.
There is an ever increasing body of knowledge reporting empirical scenarios of
successful and problematic cloud migration. Reusing this body of knowledge,
dispersed and fragmented over the academic/multi-vocal literature, has
practical values to mitigate costly risks and pitfalls in further projects of
legacy to-cloud and cloud-to-cloud migration. In line with this, knowledge
management systems/platforms pertinent to cloud migration are a prime
prerequisite and a strategic imperative for an organization. We have conducted
a qualitative exploratory study to understand the benefits and challenges of
developing Knowledge Management Systems (KMS) for cloud migration in real
trials. Whilst our prototype system demonstration supported the importance and
bene-fits of developing Cloud Migration KMS (CM-KMS), our semi-structured
industry interview study with 11 participants highlighted challenging
impediments against developing this class of KMS. As a result, this study
proposes nine significant challenges that cause the abandon of the design and
maintenance of CM-KMS, including continuous changes and updates, integration of
knowledge, knowledge granularity, preservation of context, automation,
deconstruction of traditional knowledge, dependency on experts, hybrid
knowledge of both vendor-specific and vendor-neutral cloud platforms, and
parsimony. Our results inform cloud architects to pay attention to adopt CM-KMS
for the legacy-to-cloud migration in their organizations.
