The MOSIX multicomputer operating system for high performance cluster computing
Future Generation Computer Systems - Special issue on HPCN '97
Condor: a distributed job scheduler
Beowulf cluster computing with Linux
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
NPACI Rocks: Tools and Techniques for Easily Deploying Manageable Linux Clusters
CLUSTER '01 Proceedings of the 3rd IEEE International Conference on Cluster Computing
Leveraging Standard Core Technologies to Programmatically Build Linux Cluster Appliances
CLUSTER '02 Proceedings of the IEEE International Conference on Cluster Computing
Communication overhead for space science applications on the Beowulf parallel workstation
HPDC '95 Proceedings of the 4th IEEE International Symposium on High Performance Distributed Computing
PVFS: a parallel file system for linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
Building a self-contained auto-configuring Linux system on an iso9660 filesystem
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
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We have designed and implemented a new portable system that can rapidly construct a computer environment where high-throughput research applications can be performed instantly. One challenge in the instant computing area is constructing a cluster system instantly, and then readily restoring it to its former state. This paper presents an approach for instant computing using Knoppix technology that can allow even a non-computer specialist to easily construct and operate a Beowulf cluster . In the present bio-research field, there is now an urgent need to address the nagging problem posed by having high-performance computers. Therefore, we were assigned the task of proposing a way to build an environment where a cluster computer system can be instantly set up. Through such research, we believe that the technology can be expected to accelerate scientific research. However, when employing this technology in bio-research, a capacity barrier exists when selecting a clustered Knoppix system for a data-driven bioinformatics application. We have approached ways to overcome said barrier by using a virtual integrated RAM-DISK to adapt to a parallel file system. To show an actual example using a reference application, we have chosen InterProScan, which is an integrated application prepared by the European Bioinformatics Institute (EBI) that utilizes many database and scan methods. InterProScan is capable of scaling workload with local computational resources, though biology researchers and even bioinformatics researchers find such extensions difficult to set up. We have achieved the purpose of allowing even researchers who are non-cluster experts to easily build a system of ”Knoppix for the InterProScan4.1 High Throughput Computing Edition.” The system we developed is capable of not only constructing a cluster computer environment composed of 32 computers in about ten minutes (as opposed to six hours when done manually), but also restoring the original environment by rebooting the pre-existing operating system. The goal of our instant cluster computing is to provide an environment in which any target application can be built instantly from anywhere.