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Distributed Computing Grids—Safety and Security
Published in Yang Xiao, Security in Distributed, Grid, Mobile, and Pervasive Computing, 2007
Mark Stephens, V. S. Sukumaran Nair, Jacob A. Abraham
Several distributed computing grids are hosted by nonprofit scientific organizations who harness idle cycles from supporters (i.e., volunteer computing). For example, SETI created SETI@home as an economical method for analyzing massive amounts of radio telemetry data collected from space. SETI@home allows the general Internet public to volunteer their idle CPU cycles for scientific research [5]. Today SETI@home has harnessed over 1.6 million CPU years of donated idle CPU cycles and has realized an ROI of 1500:1. Similarly, the Folding@home PC grid is used to simulate protein folding. This critical research is used to study diseases such as Alzheimer’s and Huntington’s disease. The Folding@home project currently has over 164,442 active Internet connected nodes.
Price-Performance of Computer Technology
Published in Vojin G. Oklobdzija, Digital Design and Fabrication, 2017
An interesting approach to low-cost computational power is to use the unused cycles from underutilized PCs. The SETI@home program distributed client programs to PCs connected to the Internet to allow over 2 million computers to be used for computations that were distributed and collected by the SETI program [106]. SETI@home is likely the largest distributed computation problem in existence and forms the largest computational system.
A framework on task configuration and execution for distributed geographical simulation
Published in International Journal of Digital Earth, 2021
Fengyuan Zhang, Min Chen, Ming Wang, Zihuan Wang, Shuo Zhang, Songshan Yue, Yongning Wen, Guonian Lü
Third, due to the complexity of geographical simulations, scheduling volunteers' computers and balancing the task load to enhance the running performance of geographical simulations are still challenges for scholars. For time-consuming models, users employ a collection of many computers to run models in order to save time and integrate many technologies, such as parallel running and clusters (Buyya 1999; Zaharia et al. 2010; Deng, Desjardins, and Delmelle 2019). With the development of computer technology, the number of projects for volunteered computers in other domains (biology, astronomy, chemistry, mathematics, etc.) is increasing and includes BOINC, World Community Grid, Great Internet Mersenne Prime Search (GIMPS), SETI@home, Folding@home, and Genome@Home (Anderson et al. 2002; Wanko and Venable 2002; Anderson 2004; Larson et al. 2009; Hachmann et al. 2011). These projects are forms of distributed computing that assemble volunteered computing and can support research without much funding in massive computation (Anderson 2004; Korpela 2012). This approach is suitable for simulation tasks with massive and similar computing tasks. However, geographical simulations, which involve various modes, are complex. Moreover, different graphical simulations have different model configurations. Therefore, flexible simulation configurations are necessary, and related research is lacking.