Grupo oneGrid Cluster Computing Grid Computing Cloud Computing Vicerrectoría de Ciencia, Tecnología e Innovación Universidad Antonio Nariño VIII Encuentro Grupos Investigación Sep 2010 Content Introduction (Clusters, Grids, Clouds?) EHEP ATLAS Research Group (Clustering) Grid Colombia (Grid Computing) Sistema de Gestión de la Investigación (Cloud Computing) Bimler Cephalometric Analysis (SOA) Introduction Research Question Since the inception of computers (~1950’) the research community has always been characterized by requiring a high computational capacity, having at the same time hard budget constraints. Introduction Research Question How to provide such a computational capacity at minimum cost ? How to achieve this transparently to the researcher ? Introduction Related Issues How to leverage collaborative (interdisciplinary) work between geographically dispersed researchers ? What about Security ? Confidentiality, Integrity, Availability Introduction 1st Option: Supercomputers 5th Fastest computer June 2010 High cost (IBM BlueGene/L: us$100m+) Complex admin & maintenance Limited scalability Rapid obsolescence Introduction 2nd Option: Computing Clusters Homogeneous (HW/SW), high-performance servers, interconnected by a high speed local network (Fiber Optics, 10 Gb Ethernet): UNDER ONE ADMINISTRATION DOMAIN Introduction 3rd Option: Grid Computing Heterogeneous (HW/SW), low/medium-performance workstations (commodity / shared), interconnected by a low speed local/wide area network (Internet): ACROSS MULTIPLE ADMINISTRATION DOMAINS Introduction 4th (new) Option: Cloud Computing Software as a Service (SaaS) + Hardware as a Service (IaaS) = Platform as a Service (PaaS) e.g., Google Mail running on Google Cluster, Google App Engine EHEP ATLAS Research Group Research on Experimental High Energy Physics in collaboration with CERN Requirements: . Local storage capacity Each dataset is ~30 MB . Local computing capacity Each analysis requires processing many datasets Solution: . Computational Cluster (Tier-3) UAN Tier-3 Cluster Manufacturer: Dell Processors: 16 AMD Opteron QC 2.3 GHz RAM: 128 GB Storage: ~4 TB SPECint2006: ~144 Grid Colombia Research Project Construction of a countrywide computing grid using RENATA (~Internet2) Requirements: . Use resources (storage & computational) spread across several universities 11 universities at the beginning, 20+ now Solution: . Computational Grid Grid Colombia Research Project Knowledge Grid Information Grid Data Grid Computing Grid Sistema de Gestión de la Investigación (SGI) Information system to manage research groups, projects and products Requirements: . No budget for hardware . Service Orientation . Scalability Solution: . Cloud Computing (PaaS) Amazon EC, Google App Engine Bimler Cephalometric Analysis A technique devised by Dr. Hans Peter Bimler used in orthodontics for the treatment of malocclusion Requirements: . Interactive service . Online/Offline service . Zero installation Solution: . Service Oriented Architecture Bimler Cephalometric Analysis Grupo oneGrid Gracias VIII Encuentro Grupos Investigación Sep 2010
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