Grid Computing Cluster – the Development and ... - Lim Lian Tze

Grid@USMTable 1: DEER computational time on a single PC and cluster with 10 and 20 nodesSegmentsComputational timeSingle PC 10 nodes 20 nodesCalculation 6 hrs 50 mins 40 minsPrinting 3 hrs 60 mins 20 minsTotal 9 hrs 1 hr 50 mins 1 hrvarious numbers of nodes used. Thereduction of time used becomes saturatedafter 12 nodes. This is becausethe execution speed of the programis limited by the system input andoutput latencies such as file accessand message passing over network.Figure 7 shows the memory storageneeded for several sizes of study domain.The memory size needed fordata storage increases exponentiallyas the calculation domain increases.To examine the global-scale relationshipsamong climate, Aedes aegyptipopulations and transmissionof dengue disease, a large study domaintypically in terms of thousandsof kilometers is needed. This incursexcessive demands on the computationaltime and storage size as thecomputational grid size of the studydomain must be small enough to reflectthe local distribution and flightreach of Aedes aegypti, which is onlya few hundred meters (Reiter et al.1995). Therefore, grid technology isused to speed up the computationaltime and to reduce storage size. Thisis achieved by dividing and allocatingsections of program computation toseveral computers.REGIONAL DENGUESIMULATION BY GRIDA global scale of dengue disease transmissionis considered in this studyto demonstrate the capability of gridcomputing in reducing the computationalcost of simulating global transmissionof dengue. Table 1 showsthe computational time used to run aglobal case of dengue transmission fora single PC and clusters with 10 and20 nodes. A single simulation takesabout 9 hours to run on a single normalPC of Intel® Pentium® 1.60 GHzand 768 MB RAM. Using a clusterwith 20 nodes reduces the computationaltime to about half an hour;a total time reduction of more than80 %.DIRECTION OFFUTURE RESEARCHDEER is undergoing continuous enhancementsto upgrade its capabilityin simulating the dynamics of denguedisease transmission. Further, DEER isundergoing revisions for applicationon the PRAGMA Grid network. Wehope that this project would stimulateactive research and collaborationin this region. Further we have successfullyextended grid technology totsunami simulations, which typicallyrequire large computational resources,made available by Grid technology.PROJECT PUBLICATIONSKew, L. M., Teh, S. Y., & Koh, H. L.(2009). Optimization of TsunamiModel TUNA by Grid Technology.In Proceedings of the 5th Asian MathematicalConference (AMC). KualaLumpur, Malaysia.Koh, H. L., Lee, H. L., Teh, S. Y.,& Izani, A. (2009). Dengue andTsunami Modeling: Application ofGrid Technology. In Proceedingsof 2nd Regional Conference on Ecologicaland Environmental Modeling(ECOMOD 2007). Penang, Malaysia;pp. 22–28.Tan, K. B., Teh, S. Y., Koh, H. L.,Sui, L. L., Bahari, B., & Izani, A.(2009). Modeling West Nile Viruswith Grid Technology. In Proceedingsof the 16th Pacific-Rim ApplicationAnd Grid Middleware Assembly(PRAGMA 16). Daejeon, Korea.Teh, S. Y., Kew, L. M., & Koh, H.(2008). Application of Grid Computingin Modeling Tsunami andDengue. In ICTP Advanced Schoolin High Performance and GRID Computing.Trieste, Italy.REFERENCESAtkinson, M. P., Su, Z., Alphey, N.,Alphey, L., Coleman, P. G., & Weln,L. M. (2007). Analyzing the Controlof Mosquito-borne Diseases bya Dominant Lethal Genetic System.Proceedings of the NationalAcademy of Sciences of the UnitedStates of America (PNAS), 104(22),pp. 9540–9545.Intergovernmental Panel for ClimateChange. (2001). Summary for policymakers climate change 2001: the scientificbasis. Cambridge UniversityPress.Reiter, P., Amador, M. A., Anderson,R. A., & Clark, G. G. (1995). ShortReport: Dispersal of Aedes aegyptiin Urban Area after Blood Feedingas Demonstrated by Rubidium-Marked Eggs. American Journal ofTropical Medicine and Hygiene, 52,pp. 177–179.Schaeffer, B., Mondet, B., & Touzeau,S. (2008). Using a Climate-Dependent Model to PredictMosquito Abundance: Applicationto Aedes (Stegomyia) africanusand Aedes (Diceromyia) furcifer(Diptera: Culicidae). Infection, Geneticsand Evolution, 8, pp. 422–432.World Health Organization. (2001).Chiang Mai Declaration onDengue/Dengue HaemorrhagicFever. Wkly Epidemiol Rec,pp. 29–30.World Health Organization. (2000).World Health Report 2000 – HealthSystems: Improving Performance.World Health Organization.U@SGridM44 GRID APPLICATION TO WAVE FRONT PROPAGATION AND CONTAINMENT OF VECTOR BORNE DISEASES