Abstract
This track has made significant contribution to advance the current state of the art in enterprise distributed application management across data centers, and clouds public or private. The scale of distributed applications and their management have taken a new dimension demanding tolerance to wild fluctuations both in workloads and available computing resource pools. A new computing model proposing extensions to the current von Neumann implementation of the Turing machine was contributed by the efforts of participating in this conference since 2009. The result is a practical demonstration of these concepts, showing infrastructure agnostic auto-fail over, auto-scaling and live-migration of even state-sensitive distributed applications. By eliminating virtual image motion which is the current state of the art, this approach improves efficiency and reduces complexity and tool fatigue prevalent in todays enterprises. In addition, a review of the super recursive algorithms and inductive Turing machines in this track provides the theoretical foundation for new computing. In addition, there are five full papers describing advances in current distributed and cloud computing practices dealing with quality of service, adaptive algorithms and software defined network architectures. One short paper discusses a new approach for resource allocation in distributed systems. On the eve of the 25th anniversary of WETICE, this track attests to its success where the work started here has contributed to both theoretical and practical application going from ideation to application within a span of 6 years.