Many practical computing problems concern large graphs. Standard examples include the Web graph and various social networks. The scale of these graphs—in some cases billions of vertices, trillions of edges—poses challenges to their efficient processing. In this paper we present a computational

We present Tapestry, a peer-to-peer overlay routing infrastructure offering efficient, scalable, locationindependent routing of messages directly to nearby copies of an object or service using only localized resources. Tapestry supports a generic Decentralized Object Location and Routing (DOLR) API

protocol stack for wireless networks is divided into a set of layers, each with its own API. Models of protocols at one layer interact with those at a lower (or higher) layer only via these APIs. The modular implementation enables consistent comparison of multiple protocols at a given layer. The parallel

evaluation. This chapter describes the System Usability Scale (SUS) a reliable, low-cost usability scale that can be used for global assessments of systems usability. Usability and context Usability is not a quality that exists in any real or absolute sense. Perhaps it can be best summed up as being a

pretations (position, frequency, and scale), and we have experimented with feature-extraction methods that use best-basis compression for front-end complexity reduction. The method relies heavily on the remarkable orthogonality properties of the new libraries. It is obviously a nonlinear

measured one-way latencies of 25 s, and for larger packets, bandwidth as high as to 19.6 MB/s — delivered bandwidth greater than OC-3. FM is also superior to the Myrinet API messaging layer, not just in terms of latency and usable bandwidth, but also in terms of the message half-power point (n 1 2 which

controlled conditions. In this paper, we identify reasons why scaling dynamic inference techniques has proven difficult, and introduce solutions that enable a dynamic inference technique to scale to large programs and work effectively with the imperfect traces typically available in industrial scenarios. We

Abstract—Modern software development extensively involves reusing library components accessed through their Application Programming Interfaces (APIs). Usability is therefore a fundamental goal of API design, but rigorous empirical studies of API usability are still relatively uncommon

All modern software makes heavy use of APIs, yet they can be hard for programmers to use. There are research findings and tools which can be used to improve API usability. Evaluating and designing APIs with their users in mind can result in higher efficiency and effectiveness, fewer errors

to prevent programming errors and make real-time systems more reliable. Sadly there exists only little information about how a usable RTOS API should look like. Therefore this paper aims to give assistance in assessing and designing RTOS APIs. First we give an overview of concepts we expect an RTOS API