  In this article we present our relocatable distributed collections library.
Building on top of the AGPAS for Java library, we provide a number of useful
intra-node parallel patterns as well as the features necessary to support the
distributed nature of the computation through clearly identified methods. In
particular, the transfer of distributed collections' entries between processes
is supported via an integrated relocation system. This enables dynamic
load-balancing capabilities, making it possible for programs to adapt to uneven
or evolving cluster performance. The system we developed makes it possible to
dynamically control the distribution and the data-flow of distributed programs
through high-level abstractions. Programmers using our library can therefore
write complex distributed programs combining computation and communication
phases through a consistent API.
  We evaluate the performance of our library against two programs taken from
well-known Java benchmark suites, demonstrating superior programmability, and
obtaining better performance on one benchmark and reasonable overhead on the
second. Finally, we demonstrate the ease and benefits of load-balancing and on
a more complex application which uses the various features of our library
extensively.

Distributed, Parallel, and Cluster Computing