Some new results on the stabilization and state estimation in large-scale systems by decentralized and multilevel schemes.

In this chapter, scheduling is defined as the activity that consists in mapping a task graph onto a target platform. The task graph represents the application, nodes denote computational tasks, and edges model precedence constraints between tasks. For each task, an assignment (choose the processor that will execute the task) and a schedule (decide when to start the execution) are determined. The goal is to obtain an efficient

Abstract. Performance modeling can be used throughout the development, deployment, and maintenance of system hardware and application software. In this work we illustrate three uses of performance modeling on large-scale systems: the verification of performance during system installation

emerged as a fundamental technique for ensuring high performance in distributed databases. Database placement is particularly important in large-scale systems because it reduces communication costs and improves resource usage. In this paper, we propose a dynamic database placement policy that depends

Many replication mechanisms for large scale distributed systems exist, but they require a designer to compromise a system's replication policy (e.g., by requiring full replication of all data to all nodes), consistency policy (e.g., by supporting per-object coherence but not multiobject

. In this paper, we propose a method to compute network monitor placements that leverages commonality in available access control policies across hosts to compute net-work monitor placement for large-scale systems. We intro-duce an equivalence property, called flow equivalence, which reduces the size

Risk is inherent in distributed, large-scale systems. This paper explores the challenges of risk modeling in such systems, and suggests a risk modeling approach that is responsive to the requirements of complex, distributed, large-scale systems. An example of the use of the approach in the marine

“The goal of this course is for you to learn how to create complex systems while maintaining robustness, efficiency, extensibility and flexibility.”

Copyright © 2009 by J. Moses. Published and used by MIT ESD and CESUN with permission. In papers at the prior ESD Symposia we discussed system properties, often called ilities, as well as the structure of large scale systems. Issues related to ilities have been relatively well understood

To avoid hidden safety problems in future large scale systems, we must be able to identify the crucial assumptions underlying the development of their components and to enunciate straightforward rules for safe component interconnection.