Calling In Context
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Calling in Context
Is the concept of calling universal? God calls all people, yes—but calling is not a monolithic concept. This path-breaking book helps Christians in the United States see how social location shapes assumptions and experiences with vocation, critically examining the cultural priorities of vocation that emphasize certainty, career paths, and personal achievement.
Performance Evaluation: Metrics, Models and Benchmarks
Author: Samuel Kounev
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-06-16
This book constitutes the thoroughly refereed proceedings of the SPEC International Performance Evaluation Workshop, SIPEW 2008, held in Darmstadt, Germany, in June 2008 . The 17 revised full papers presented were carefully selected out of 39 submissions for inclusion in the book. The papers are organized in topical sections on models for software performance engineering; benchmarks and workload characterization; Web services and service-oriented architectures; power and performance; and profiling, monitoring and optimization.
Anomaly Detection as a Service
Author: Danfeng (Daphne) Yao
language: en
Publisher: Springer Nature
Release Date: 2022-06-01
Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation. The main purpose of this book is to help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats. We explain the key technical components in anomaly detection workflows, give in-depth description of the state-of-the-art data-driven anomaly-based security solutions, and more importantly, point out promising new research directions. This book emphasizes on the need and challenges for deploying service-oriented anomaly detection in practice, where clients can outsource the detection to dedicated security providers and enjoy the protection without tending to the intricate details.