This book aims at being a comprehensive and pedagogical introduction to the concept of self-stabilization, introduced by Edsger Wybe Dijkstra in 1973. Self-stabilization characterizes the ability of a distributed algorithm to converge within finite time to a configuration from which its behavior is correct (i.e., satisfies a given specification), regardless the arbitrary initial configuration of the system. This arbitrary initial configuration may be the result of the occurrence of a finite number of transient faults. Hence, self-stabilization is actually considered as a versatile non-masking fault tolerance approach, since it recovers from the effect of any finite number of such faults in an unified manner. Another major interest of such an automatic recovery method comes from the difficulty of resetting malfunctioning devices in a large-scale (and so, geographically spread) distributed system (the Internet, Pair-to-Pair networks, and Delay Tolerant Networks are examples of such distributed systems). Furthermore, self-stabilization is usually recognized as a lightweight property to achieve fault tolerance as compared to other classical fault tolerance approaches. Indeed, the overhead, both in terms of time and space, of state-of-the-art self-stabilizing algorithms is commonly small. This makes self-stabilization very attractive for distributed systems equipped of processes with low computational and memory capabilities, such as wireless sensor networks. After more than 40 years of existence, self-stabilization is now sufficiently established as an important field of research in theoretical distributed computing to justify its teaching in advanced research-oriented graduate courses. This book is an initiation course, which consists of the formal definition of self-stabilization and its related concepts, followed by a deep review and study of classical (simple) algorithms, commonly used proof schemes and design patterns, as well as premium results issued from the self-stabilizing community. As often happens in the self-stabilizing area, in this book we focus on the proof of correctness and the analytical complexity of the studied distributed self-stabilizing algorithms. Finally, we underline that most of the algorithms studied in this book are actually dedicated to the high-level atomic-state model, which is the most commonly used computational model in the self-stabilizing area. However, in the last chapter, we present general techniques to achieve self-stabilization in the low-level message passing model, as well as example algorithms.
This book aims at being a comprehensive and pedagogical introduction to the concept of self-stabilization, introduced by Edsger Wybe Dijkstra in 1973. Self-stabilization characterizes the ability of a distributed algorithm to converge within finite time to a configuration from which its behavior is correct (i.e., satisfies a given specification), regardless the arbitrary initial configuration of the system. This arbitrary initial configuration may be the result of the occurrence of a finite number of transient faults. Hence, self-stabilization is actually considered as a versatile non-masking fault tolerance approach, since it recovers from the effect of any finite number of such faults in an unified manner. Another major interest of such an automatic recovery method comes from the difficulty of resetting malfunctioning devices in a large-scale (and so, geographically spread) distributed system (the Internet, Pair-to-Pair networks, and Delay Tolerant Networks are examples of such distributed systems). Furthermore, self-stabilization is usually recognized as a lightweight property to achieve fault tolerance as compared to other classical fault tolerance approaches. Indeed, the overhead, both in terms of time and space, of state-of-the-art self-stabilizing algorithms is commonly small. This makes self-stabilization very attractive for distributed systems equipped of processes with low computational and memory capabilities, such as wireless sensor networks. After more than 40 years of existence, self-stabilization is now sufficiently established as an important field of research in theoretical distributed computing to justify its teaching in advanced research-oriented graduate courses. This book is an initiation course, which consists of the formal definition of self-stabilization and its related concepts, followed by a deep review and study of classical (simple) algorithms, commonly used proof schemes and design patterns, as well as premium results issued from the self-stabilizing community. As often happens in the self-stabilizing area, in this book we focus on the proof of correctness and the analytical complexity of the studied distributed self-stabilizing algorithms. Finally, we underline that most of the algorithms studied in this book are actually dedicated to the high-level atomic-state model, which is the most commonly used computational model in the self-stabilizing area. However, in the last chapter, we present general techniques to achieve self-stabilization in the low-level message passing model, as well as example algorithms.
When the Judds recorded “Grandpa, Tell Me ‘Bout the Good Ole Days”, our whole family began singing the title around the glowing pasture campfires, and my late cattleman husband would do just that, telling about the colorful Luckey family history, and his personal hunting, fishing and cowboy stories. Sometimes, it was, “Grandmaw, tell us another one!” when I would once again share the adventures and miracles of my lifetime, the police stories and hunting tales, my true confessions and faith in Jesus and how He’d brought me through every low valley to the joyful, victorious mountain tops! I can still see, just like it was yesterday, the glistening of the tears on their cheeks by the firelight; but much more often, it was their hysterical laughter heard echoing through the woods on smoky nightime breezes....the happiest of times, and the strongest family love we’d ever know.
Grounded Encounter Therapy is a discovery, intervention, and application approach which allows the theory which guides the process to be developed from an analysis of the situation or context, rather than imposed at the outset by the therapist. It is a dramatic contrast to psychological theories, particularly psychoanalysis, which impose a specific causal theory at the outset. In GET, on the other hand, the theory emerges from the client-defined context, not the other way around. The book introduces students and professionals an alternative to doing counseling and therapy. Traditional therapist see what they look for, and what they look for they see, and what they see is what their therapeutic modalities allow them to see, and what their therapeutic modalities allow them to see is what they treat.
Juvenile Delinquency in a Diverse Society presents a fresh, critical examination of juvenile delinquency in the context of real communities and social policies— addressing many social factors that shape juvenile delinquency and its control, including race, ethnicity, class, gender, and sexuality. Authors Kristin A. Bates and Richelle S. Swan use true stories and contemporary examples to link theories of delinquency to current public policies and to existing community programs, encouraging readers to consider how theories of delinquency can be used to create new policies and programs in their own communities. The Third Edition includes a new chapter on policing and juveniles, updated scholarship that strengthens the integration of both classic and cutting-edge research, and updates to the book’s supportive pedagogical features to reflect current events and the experiences of diverse populations of youth. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.
Choice Outstanding Academic Title Finalist, Association for the Study of African American Life and History Book Prize Honorable Mention, Organization of American Historians Liberty Legacy Foundation Award A Black Perspectives Best Black History Book of 2020 Winner of the African American Intellectual History Society Pauli Murray Book Prize Pauulu’s Diaspora is a sweeping story of black internationalism across the Atlantic, Indian, and Pacific Ocean worlds, told through the life and work of twentieth-century environmental activist Pauulu Kamarakafego. Challenging U.S.-centered views of Black Power, Quito Swan offers a radically broader perspective, showing how Kamarakafego helped connect liberation efforts of the African diaspora throughout the Global South. Born in Bermuda and with formative experiences in Cuba, Kamarakafego was aware at an early age of the effects of colonialism and the international scope of racism and segregation. After pursuing graduate studies in ecological engineering, he traveled to Africa, where he was inspired by the continent’s independence struggles and contributed to various sustainable development movements. Swan explores Kamarakafego’s remarkable fusion of political agitation and scientific expertise and traces his emergence as a central coordinator of major black internationalist conferences. Despite government surveillance, Kamarakafego built a network of black organizers that reached from Kenya to the islands of Oceania and included such figures as C. L. R. James, Queen Mother Audley Moore, Kwame Nkrumah, Sonia Sanchez, Sylvia Hill, Malcolm X, Vanessa Griffen, and Stokely Carmichael. In a riveting narrative that runs through Caribbean sugarcane fields, Liberian rubber plantations, and Papua New Guinean rainforests, Pauulu’s Diaspora recognizes a global leader who has largely been absent from scholarship. In doing so, it brings to light little-known relationships among Black Power, pan-Africanism, and environmental justice.
A much needed research and reference bibliography for all who are interested in the history of Benedictine Women in North America. Those interested in Benedictine spirituality, liturgy and prayer will find useful resources here as well.
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