Abstract-There has been growing interest in, and development of, remotely accessible laboratories as a mechanism for improving access and flexibility, and enabling sharing of facilities. Differences in focus, philosophy, approach or domain have led to quite different technical solutions in supporting remote laboratories. Whilst this diversity represents a significant strength in terms of the ability to explore different issues and support diverse applications, it does however potentially hamper the sharing of labs between different institutions. Investigation into interoperability between two remote lab platforms has realized a need for a common application protocol to achieve the goals remote labs aims to provide. We describe our approach to providing a bridge between two current remote laboratory architectures -Labshare's Sahara and MIT's iLabs -and report on the issues that arise with regard to the protocol translations.

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Many large-scale parallel scientific and engineering applications, especially climate modeling, often run for lengthy periods and require data checkpointing periodically to save the state of the computation for a program restart. In addition, such applications need to write data to disks for post-processing, e.g., visualization. Both these scenarios involve a write-only pattern using Hierarchal Data Format (HDF) files. In this paper, we study the scalability of CXFS by HDF based Structured Adaptive Mesh Refinement (AMR) application for three different block sizes. The code used is a block-structured AMR hydrodynamics code that solves compressible, reactive hydrodynamic equations and characterizes physics and mathematical algorithms used in studying nuclear flashes on neutron stars and white dwarfs. The computational domain is divided into blocks distributed across the processors. Typically, a block contains 8 zones in each coordinate direction (x, y, and z) and a perimeter of guard cells (in this case, 4 zones deep) to hold information from the neighbors. We used three different block sizes of 8 × 8 × 8, 16 × 16 × 16, and 32 × 32 × 32. Results of parallel I/O bandwidths (checkpoint file and two plot files) are presented for all three-block sizes on a wide range of processor counts, ranging from 1 to 508 processors of the Columbia system.

There has been growing interest in, and development of, remotely accessible laboratories as a mechanism for improving access and flexibility, and enabling sharing of facilities. Differences in focus, philosophy, approach or domain have led to quite different technical solutions in supporting remote laboratories. Whilst this diversity represents a significant strength in terms of the ability to explore different issues and support diverse applications, it does however potentially hamper the sharing of labs between different institutions. Investigation into interoperability between two remote lab platforms has realized a need for a common application protocol to achieve the goals remote labs aims to provide. We describe our approach to providing a bridge between two current remote laboratory architectures â?? Labshareâ??s Sahara and MITâ??s iLabs â?? and report on the issues that arise with regard to the protocol translations.