Edinburgh Napier University

  The proposed research will focus on
developing a novel approach to solve Software Service
Evolution problems in Computing Clouds. The
approach will support dynamic evolution of the
software service in clouds via a set of discovered
evolution patterns. An initial survey informed us that
such an approach does not exist yet and is in urgent
need. Pattern will be categorised into five groups in
order to solve different kinds of evolution problems,
such as SaaS dependency dealing, SaaS structure
transformation, SaaS evolvability enhancement, SaaS
system dynamic enhancement and SaaS function
enhancement. It contains dynamic process and static
details. Evolution mechanism will be used for driven
the evolution pattern into execution; both mechanism
and pattern are corresponded with each other. After
the pattern design is finished, the whole approach will
have these contributions: 1) the synergistic patterndriven
framework for cloud service evolution; 2) a
repository of evolution patters for cloud services
(mainly for SaaS); 3) the formal specification of the
evolution patterns; 4) the mechanism to apply the
patterns to cloud service evolution at run time: driving
the evolution, monitoring the process, and verifying the
correctness; 5) the resultant prototype tool. Both
dynamic and static description of the evolution pattern
has been given in the paper.