In the recovery of failed processes in a distributed program, causal logging schemes offer several benefits. These benefits include no rollback of unfailedprocesses and simple approaches to output commit. Unfortunately, previous approaches to the recovery of multiple simultaneous failures require that the distributed execution be blocked or that recovering processes coordinate. The latter requi...

ÐPast research in message logging has focused on studying the relative overhead imposed by pessimistic, optimistic, and causal protocols during failure-free executions. In this paper, we give the first experimental evaluation of the performance of these protocols during recovery. Our results suggest that applications face a complex trade-off when choosing a message logging protocol for fault to...

In an agent system, the ability to handle problems and recover from them is important in sustaining stability and providing robustness. We claim that execution logging is essential to support agent system robustness, and that agents should have architectural-level support for logging and recovery methods. We describe an infrastructure-level, default methodology for agent problem-handling, based...

We present an in-depth analysis of natural forest management practices in Costa Rica based on a new historical forestry GIS database encompassing five conservation regions in the country where selective logging has been prevalent for the last 18 years. Natural forest management refers to the selective logging practices for the production of timber in natural forest ecosystems. The study conside...

Performance of transaction processing systems is mostly determined by the amount of required physical disk I/O, which is due to database table accesses or log record writes. This paper describes a high-performance transaction processing system called Charm, which aims to reduce the performance impacts of disk I/O to the minimum. In current transaction processing architectures, a transaction blo...

This article describes AppMonitor, a Microsoft Windows-based client-side logging tool that records user actions in unmodified Windows applications. AppMonitor allows researchers to gain insights into many facets of interface interaction such as command use frequency, behavioral patterns prior to or following command use, and methods of navigating through systems and data sets. AppMonitor uses t...

BROADCAST will develop the principles for understanding, designing, and implementing large scale distributed computing systems (LSDCS), in three broad areas: Fundamental concepts. Evaluate and design computational paradigms (such as ordering, causality, consensus); structuring models (groups and fragmented objects); and algorithms (especially for consistency). Systems Architecture. Develop the ...

This work presents a novel approach to support multiprocessor scheduling at userlevel. We propose to use system instrumentation and event logging to obtain runtime information relevant for scheduling, from different system sources such as the hardware, operating system components, or application programs. We instrument the system components with event log handlers that record scheduling data in...