Bültmann & Gerriets
Self-Stabilizing Autonomic Recoverers
Self-Stabilizing Autonomic Recoverer for Eventual Byzantine Software, Recovery Oriented Programming, Self-* Programming
von Olga Brukman, Shlomi Dolev
Verlag: LAP LAMBERT Academic Publishing
Hardcover
ISBN: 978-3-8454-7303-1
Erschienen am 07.09.2011
Sprache: Englisch
Format: 220 mm [H] x 150 mm [B] x 8 mm [T]
Gewicht: 203 Gramm
Umfang: 124 Seiten

Preis: 59,00 €
keine Versandkosten (Inland)


Dieser Titel wird erst bei Bestellung gedruckt. Eintreffen bei uns daher ca. am 11. November.

Der Versand innerhalb der Stadt erfolgt in Regel am gleichen Tag.
Der Versand nach außerhalb dauert mit Post/DHL meistens 1-2 Tage.

59,00 €
merken
klimaneutral
Der Verlag produziert nach eigener Angabe noch nicht klimaneutral bzw. kompensiert die CO2-Emissionen aus der Produktion nicht. Daher übernehmen wir diese Kompensation durch finanzielle Förderung entsprechender Projekte. Mehr Details finden Sie in unserer Klimabilanz.
Klappentext
Biografische Anmerkung

Self-stabilization is a system property that implies the system convergence to the desired behavior from every possible system state. Self-stabilizing monitoring layer implies automatic recovery of a monitored system and enables automatic recovery of systems. In the first part of the book we suggest monitoring the safety and liveness properties of black box software packages by recording its IO trace. The monitoring layer continuesly analyzes the trace to identify the properties violations and executes appropriate recovery actions upon violation. In the second part of the book we present recovery oriented programming - a framework for creating recovery oriented software. The framework is a pre-compiler that produces augmented code from provided recovery tuples to monitor the recovery tuples safety and liveness properties and to invoke recovery actions upon the properties violations. In the third part of the book we suggest to create programs automatically instead of monitoring or enhancing an existing system. We present generic algorithms that search automatically for programs that fit the current, possibly unanticipated, environment state.



Olga Brukman has completed PhD from Computer Science Department, Ben-Gurion University of the Negev, Beer-Sheva, Israel in 2008. Since then she pursued both industrial and academic jobs.