How does a house remember? heritage-ising return migration in an Indonesian-Chinese house museum in Guangdong, PRC

This paper is an attempt to integrate heritage and museum studies through exploring the complex relationship between the materiality of architecture and social memories with a house museum of return migration in Guangdong, PRC as a case study. It unveils that the ongoing process of memory is intrinsically intertwined with spatial and temporal dimensions of the physical dwelling and built environment and the wider social-historical context and power relations shaping them. I argue that it is the house as ‘object of exhibit’ just as much as the exhibits inside the house that materialises the turbulent and traumatic migratory experience of Returned Overseas Chinese, embodies their memories and exposes the contested nature of museumification. By looking at the socially and geographically marginalised dwelling of return migrants, the house draws people’s attention to the often neglected importance of conceptual periphery in re-theorising what is often assumed to be the core of heritage value. It points to the necessity to integrate displaced, diasporic, transnational subjects to heritage and museum studies that have been traditionally framed within national and territorial boundaries.

Enabling Scientific Workflow Sharing through Coarse-Grained Interoperability

E-scientists want to run their scientific experiments on Distributed Computing Infrastructures (DCI) to be able to access large pools of resources and services. To run experiments on these infrastructures requires specific expertise that e-scientists may not have. Workflows can hide resources and services as a virtualization layer providing a user interface that e-scientists can use. There are many workflow systems used by research communities but they are not interoperable. To learn a workflow system and create workflows in this workflow system may require significant efforts from e-scientists. Considering these efforts it is not reasonable to expect that research communities will learn new workflow systems if they want to run workflows developed in other workflow systems. The solution is to create workflow interoperability solutions to allow workflow sharing. The FP7 Sharing Interoperable Workflow for Large-Scale Scientific Simulation on Available DCIs (SHIWA) project developed two interoperability solutions to support workflow sharing: Coarse-Grained Interoperability (CGI) and Fine-Grained Interoperability (FGI). The project created the SHIWA Simulation Platform (SSP) to implement the Coarse-Grained Interoperability approach as a production-level service for research communities. The paper describes the CGI approach and how it enables sharing and combining existing workflows into complex applications and run them on Distributed Computing Infrastructures. The paper also outlines the architecture, components and usage scenarios of the simulation platform.