Quantitative System Performance.

TL;DR: This paper identifies numerous cases, such as prefetches, dynamicallydead code, and wrong-path instructions, in which a fault will not affect correct execution, and shows AVFs of 28% and 9% for the instruction queue and execution units, respectively,averaged across dynamic sections of the entire CPU2000benchmark suite.

TL;DR: This paper presents a model based on a network of queues, where the queues represent different tiers of the application, sufficiently general to capture the behavior of tiers with significantly different performance characteristics and application idiosyncrasies such as session-based workloads, concurrency limits, and caching at intermediate tiers.

TL;DR: SPNP, a powerful GSPN package that allows the modeling of complex system behaviors, is presented and is compared with two other SPN-based packages, Great SPN and METASAN.

TL;DR: A spectrum of middle-agents is identified, characterizes the behavior of three different types, and reports on initial experiments that focus on evaluating performance tradeoffs between matchmaking and brokering middle- agents, according to criteria such as load balancing, robustness, dynamic preferences or capabilities, and privacy.