nowadays, robots account for most part of our lives in such a way that it is impossible for usto do many of affairs without them. increasingly, the application of robots is developing fastand their functions become more sensitive and complex. one of the important requirements ofrobot use is a reliable software operation. for enhancement of reliability, it is a necessity todesign the fault toler...

The estimation of the frequency elements on a set is needed in wide range computing applications. For example, to estimate number hits that video gets or packets network flow. In some cases, very large and it not practical maintain table with exact count for each them. Instead, simpler more efficient data structures, commonly referred as sketches, provide an are used. Among those structures Cou...

Robots play such remarkable roles in humans’ modern lives that performing many tasks without them isimpossible. Using robotic systems is gradually increasing the tasks allocated to them and they are becomingmore complex and critical. Software reliability is one of the most significant requirements of robots. Forenhancing reliability, systems should be inherently designed to be tolerable of soft...

A new methodology for designing logic circuits with partial error masking is described. The key idea is to exploit the asymmetric soft error susceptibility of nodes in a logic circuit by targeting the error masking capability towards the nodes with the highest soft error susceptibility to achieve cost-effective tradeoffs between overhead and reduction in the soft error failure rate. Such techni...

The problem of soft errors caused by radiation events are expected to get worse with technology scaling. This thesis focuses on mitigation of soft errors to improve the reliability of memory caches. We survey existing mitigation techniques and discuss their issues. We then propose 1) a technique that can mitigate soft errors in caches with lower costs than the widely-used Error Correcting Code ...

This paper introduces FITIn, a new fault-injection tool that supports instrumentation-based injections that are guided by annotations of the source code; FITIn allows for highly selective fault-injection tests. FITIn is implemented on top of the Valgrind framework. We present the major design decisions of FITIn and evaluate it using the Dhrystone benchmark.