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Self-stabilization in NEST Mikhail Nesterenko (based on presentation by Anish Arora, Ohio State University)

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Presentation on theme: "Self-stabilization in NEST Mikhail Nesterenko (based on presentation by Anish Arora, Ohio State University)"— Presentation transcript:

1 Self-stabilization in NEST Mikhail Nesterenko (based on presentation by Anish Arora, Ohio State University)

2 Goals Scalable dependability via new notions of stabilization e.g. weak, protective, bounded stabilization Stabilization at all levels of NEST system stack e.g., at application level, via component-frameworks and automated synthesis e.g., at middleware level, via stabilizing monitoring

3 Co-conspirators Mohamed Gouda UTexas, Austin Ted Herman UIowa Sandeep Kulkarni Michigan State Mikhail Nesterenko Kent State

4 Stabilization Notions: Original Concept legitimate states from where safety and liveness are satisfied illegitimate states reached possibly due to faults Closure: Set of legitimate states is closed under system execution Convergence: Starting from any system state, every system computation eventually reaches a legitimate state

5 Weak Stabilization Closure Weak Convergence: Starting from any system state, some system computation eventually reaches a legitimate state

6 Protective Stabilization Closure Convergence (strong or weak) Protection: No transition is unsafe ( )

7 Bounded Stabilization Closure Bounded Convergence:  Set of fault-span states is closed under system execution  Starting from any fault-span state, every system computation reaches a legitimate state in bounded time Fault-span states, convergence time is bounded

8 Stabilization in NEST System Stack AP Timed AP APC Stabilizing application component framework synthesis Nonstabilizing application Stabilization synthesis framework Implementing stabilizing apps Stabilizing system/app monitoring

9 Project: Stabilizing Monitoring Service Model: apps/daemons/nodes periodically send a refresh to service period is chosen within some interval [LF.. HF] Service ensures in stabilizing manner: apps/daemons/nodes are up monitoring service of a node is up

10 Layered Architecture Layer 0: Hardware watchdog  implements a hardware self-rebooting mechanism Layer 1: Basic monitoring  ensures that registered app/daemons are up Layer 2: Remote and Advanced monitoring  ensures other nodes and distributed process groups are up  generation of suspicions for dependent apps/daemons  adaptation of refresh periods & registered apps/daemons

11 Project: Implementing Stabilizing Applications Input: a (weakly-) stabilizing protocol consisting of processes communicating via messages in Abstract Protocol (AP) notation Output: a weakly-stabilizing implementation using UNIX processes and UDP communication

12 Approach AP Timed AP APC preserves all safety and liveness properties preserves some properties, including weak- stabilization Input Output Abstract timeouts Zero message delay Action/fault atomicity Action fairness Real timeouts Non-zero message delay Action/fault atomicity Action fairness Real timeouts Non-zero message delay Event/weak fault atomicity Weak action fairness

13 Project: Stabilization Synthesis Framework Nonstabilizing APC Stabilizing APC dependability component framework Nonstabilizing AP Stabilizing AP synthesis procedure

14 Approach Exponential-time synthesis procedure, with adequate polynomial-time heuristic  sufficient for synthesis of byzantine agreement Dependability component framework enables reuse of application-independent aspects of stabilization  application-dependent parameter used to instantiate this framework, e.g. network type, communication patterns

15 Sample Component Frameworks Reactive link-predicate stabilization component  Retransmission based  Use of ACK/NACKs Proactive link-predicate stabilization component  Forward error correction based  Sending parity packets in advance Group-of-nodes state-predicate stabilization component

16 Deliverables and Milestones Stabilizing Monitoring Framework:  Aug’02: Implementation of basic node monitoring  Aug’03: Implementation of advanced node/group monitoring  Apr’04: Demo of monitoring service use by NEST application Implementing Stabilizing Applications:  Aug’02: AP-to-APC transformer implementation  Apr’03: Demo of stabilizing transformer-based NEST application  Aug’04: Transformer for stabilization of sequential processes Stabilizing Synthesis Framework:  Aug’02: Demo of tool for synthesis of stabilizing AP protocols  Apr’03: BNF & semantics of APC dependability component composition language  Aug’03: Application-independent code for reactive & proactive component frameworks  Apr’04: Demo of stabilizing framework-based NEST application

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