Resources of embedded systems, such as memory size and CPU power, are expensive and (usually) not extensible during the lifetime of a system. It is therefore desirable to be able to determine the resource consumption of an application as early as possible in the design phase. Only then, a designer is able to guarantee that an application will fit on a target device. Resource prediction is a tec...

This chapter focuses on resource management techniques for performance or energy optimization in multi-/many-core systems. First, it gives a comprehensive overview about resource management in a broad perspective. Secondly, it discusses the possible optimization goals and constraints of resource management techniques: computational performance, power consumption, energy consumption, and tempera...

The Internet’s current architecture de-couples the cost of sending traffic from the consequences of sending traffic. Its open nature allows anyone to initiate a connection with minimal authentication. These factors account for the excessive consumption caused by spam in the email system and other service areas. At the network layer, resource consumption caused by spam is analogous to Distribute...

In democratic elections, malicious agents may attempt to control elections to achieve their own goals. To guarantee impartiality, it is necessary to protect the election outcomes from control. In this paper, we consider how to protect election outcome from control using minimal resources. We assume malicious agents attempt to prevent a specific candidate from winning a democratic election with ...

This paper examines the problem of executing plans where there is uncertainty about resource consumption values. The amount of time, fuel or any other resource used by an action in a plan is traditionally viewed as an absolute value during a planning phase, but can be more accurately represented by a distribution of values. Current methods for plan execution cannot deal with this type of uncert...

ions. Using this kernel, the efficacy of the architecture is experimentally corroborated.

The adoption by Medicare in 1983 of prospective payment using diagnosis-related groups (DRGs) has stimulated research to develop case-mix grouping schemes that more accurately predict resource consumption by patients. In this article, the authors explore a new method designed to improve case-mix classification for newborns through the use of birth weight in combination with DRGs to adjust the u...