Ultra-Large-Scale Systems Seven Years after the Study - ICSE 2013 ...

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Think EcosystemDiverse users with complex networkeddependencies and intrinsic adaptivebehaviorHas:• Robustness mechanisms: achievingstability in the presence of disruption• Measures of health: diversity,population trends, other key indicatorsDoes Scale Really Matter?: ULS Systems Seven Years LaterLinda Northrop: May 24, 201326© 2013 Carnegie Mellon University
Think Socio-Technical EcosystemsSocio-technical ecosystemsinclude people, organizations, andtechnologies at all levels withsignificant and often competinginterdependencies.• dynamic communities• interaction between andamong all entities – roles,responsibilities, andinformation flows• competition for resources• rules, incentives, andadaptationDoes Scale Really Matter?: ULS Systems Seven Years LaterLinda Northrop: May 24, 201327© 2013 Carnegie Mellon University
Page 2 and 3: Software Engineering Institute (SEI
Page 4 and 5: Ultra-Large-Scale (ULS)SystemsDoes
Page 6 and 7: Beginning of theULS System JourneyD
Page 8 and 9: Societal ProblemsClimate change and
Page 10 and 11: Trend Toward Increasing Scale-1•
Page 12 and 13: Increasing Scale In Military System
Page 14 and 15: Expert PanelGregory AbowdGeorgia In
Page 16 and 17: Inspiration: Open Source and Cooper
Page 18 and 19: ULS Systems Research Study Reportht
Page 20 and 21: What Is an Ultra-Large-Scale (ULS)
Page 22 and 23: Approaches to Software DevelopmentT
Page 24 and 25: Analogies are UsefulDoes Scale Real
Page 28 and 29: ChallengesULS systems will present
Page 30 and 31: What We LearnedThere is an unstoppa
Page 32 and 33: Early Post-Study Observations• We
Page 34 and 35: Since ThenDemonstrators in Cairo's
Page 36 and 37: Software is Ubiquitous and Often Tr
Page 38 and 39: More Fuel for ScaleDoes Scale Reall
Page 40 and 41: The “Crowd”DARPA BAA 11-64: Soc
Page 42 and 43: Some ULS Systems Buzz~21,266 downlo
Page 44: Upon ReflectionSTE(Social-Technical
Page 47 and 48: Selected Experiences withSystems at
Page 49 and 50: Smart Grid - A ULS SystemDiagrams c
Page 51 and 52: Broader ULS System ImpactThe expans
Page 53 and 54: XSEDE’s innovative, open standard
Page 55 and 56: Healthcare AnalyticsProblem: Define
Page 57 and 58: Adding AnalyticsBusiness andMission
Page 59 and 60: Best in Class Healthcare AnalyticsO
Page 61 and 62: Sample Published WorkContextual Des
Page 63 and 64: Selected SEI ResearchTargeted at UL
Page 65 and 66: Architecture in ULS System ContextU
Page 67 and 68: SEI and Broader Carnegie Mellon Col
Page 69 and 70: So, Where Are We?The report has bee
Page 71 and 72: Opportunities and ThreatsOpportunit
Page 73 and 74: Putting Technology to Work: a Few T
Page 75 and 76: What I SeeMachine LearningMulticore
Page 77 and 78:
Food for Thought• Is our research
Page 79 and 80:
Thanks To The Entire ULS System Stu
Page 81 and 82:
A Special Thank You and TributeDoes
Page 83 and 84:
InteractionDoes Scale Really Matter
Page 85 and 86:
References for Slides 65-66Does Sca
Page 87 and 88:
References - 2Bryant, Barrett R., J
Page 89 and 90:
References - 4Clements, Paul, and M
Page 91 and 92:
References - 6Froihofer, Lorenz, Ge
Page 93 and 94:
References - 8Hill, James H., Jules
Page 95 and 96:
References - 10Lucrédio, Daniel, E
Page 97 and 98:
References - 12Salehie, Mazeiar, an
Page 99 and 100:
References - 14Valerdi, Ricardo, El
Page 101 and 102:
References - 16Zhu, Liming, and Yan
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