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Distributed systems: How did we get here?

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  1. Distributed systems: How did we get here? B. Ramamurthy

  2. Lecture plan for today • First day handout • What is a distributed system? What is distributed computing? • Some important issues in distributed computing • Foundations : Ch.6: Operating Systems; Ch.7: Security and protection • Distributed system as described Stankovic’s paper • Our approach to distributed system • Demos

  3. Evolution of Internet Computing deep web scale Parallel HPC web Semantic discovery ?????? Automate (discovery) CSE507 Introduction 2008 Discover (intelligence) Transact Integrate Interact Inform Publish time

  4. Evolution • Industrial • Automation • Just-in-time • Advances in supply chain • … • Business • Remote operations • Heterogeneity • Scale • Integration (application, data) • E-commerce • … CSE507 Introduction 2008

  5. Evolution (contd.) • Information technology • Internet • World-wide web • Grid • Mobile and wireless • Devices • Software, platforms • Search engines • Tremendous advances CSE507 Introduction 2008

  6. Evolution (contd.) • Computing research • Programming languages • RISC vs. CISC architectures • Memory capacity • Computing power • Simple programObject Component… • Environment • Accessibility • Globalization (outsourcing, markets) • ... CSE507 Introduction 2008

  7. Evolution (contd.) • Society • IT users not exclusive to Computer Science • Digital media • ipod, iphone, idog,.. • Youtube, myspace, social networking • Blogs,wikies, podcasts • … CSE507 Introduction 2008

  8. Beyond Search Engines: Enabling Information Technology and Scientific Applications TV/Remote Simple Search (stateless) Financial: Build Portfolio CSE507 Introduction 2008 Medicine: plan treatment Environment: Plan Forestation Wireless device Biotech: drug discovery Complex multi-organizational applications

  9. Challenges • Need transformative solutions such as the Internet and the Search • Alignment with the needs of the business / user / non-computer specialists / community and society • Need to address the scalability issue: large scale data, high performance computing, automation, response time, rapid prototyping, and rapid time to production • Need to effectively address (i) ever shortening cycle of obsolescence, (ii) heterogeneity and (iii) rapid changes in requirements • Transform data from diverse sources into intelligence and deliver intelligence to right people/user/systems CSE507 Introduction 2008