Core Embedded Systems

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1 Grand Challenges in Cyber Physical The Next Generation Tarek Abdelzaher Department of Computer Science University of Illinois at Urbana Champaign Core Core Challenges: Dependability Hardware/Software Co-Design Verification/Validation Real-time Dependability Cost of Validation/Verification Real-Time Support 1

2 Trend 1: Confluence of Networking, Personal Computing and Networking Personal Computing Clusters, Farms Grids, WWW Autonomic Computing Emergency Response Privacy Security Situation Aware Distributed Everywhere - Transparent - Context-aware - Mobile - Miniature - Ubiquitous (Smart attire, smart spaces, ) and Real-Time Trend 2: Newly Emerging Deeply (Sensor Networks) Habitat Monitoring Precision Agriculture Sensor Network Applications Disaster Response Features Ad hoc deployment Massive distribution Interaction with a physical environment Unattended operation Target Tracking Infrastructure Protection Border Control 2

3 Trend 3: Global Integration From Smart Dust to Global Information Grids Low end: ubiquitous embedded devices Large-scale networked embedded systems Seamless integration with a physical environment High end: complex systems with global integration Examples: Global Information Grid, Total Ship Computing Environment Picture courtesy of Patrick Lardieri Total Ship Computing Environment (TSCE) Global Information Grid Integration and Scaling Challenges Low End High End Emerging Challenge 1: An Internet for Devices Observation: Human I/O bandwidth is bounded Eventually, traffic growth is due to embedded devices Present Internet Connecting people Interface: Human centric, query/polling based (e.g., music download, google search, ) Applications: Web, , peer-topeer multimedia, Future Internet Connecting devices Interface: Device centric, notification based (e.g., mine for patterns, alert to anomalies) Applications: environmental monitoring, emergency response, Issues: New architecture, new protocols for embedded devices, new addressing schemes, 3

4 Emerging Challenge 2: Integration at Scale Component integration has always been a problem Scalability Correctness (hidden mismatches breed bugs) We must now take it to the next level Wide-area distributed embedded systems Large-scale sensor/actuator networks Billions of lines of code interacting across a network infrastructure Emerging Challenge 3: Distributed Middleware for the Physical World Logical View Distributed middleware paradigms Abstract distributed communication Provide location transparency Middleware paradigms for deeply embedded computing Represent the physical world to the programmer Abstract distributed interaction with the physical environment 4

5 Emerging Challenge 4: Interdisciplinary Problems Pervasive presence, ubiquitous instrumentation, user interfaces Next Generation Privacy and Ubiquitous Computing Security Mobility, untethered operation Temporal Sensitive information and Performance Integration, sharing, increased MANET global connectivity Analysis Unpredictable Networking Languages, Specification environment Verification Need for abstraction Data Mining Computing Fault-Tolerance Very large real-time data size Reliability Increased complexity, increased cost of bugs Information Integration Functional Correctness Extra-functional Properties Today Future Trends Summary Confluence of networking, personal computing, and embedded systems New technologies (e.g., sensor networks) Global integration Challenges Wide-area embedded networks Integration complexity Middleware for the physical world Interdisciplinary research 5

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