Application software

About: Application software is a research topic. Over the lifetime, 12185 publications have been published within this topic receiving 219822 citations. The topic is also known as: software application & application software.

A firm real-time system implementation using commercial off-the-shelf hardware and free software

Abstract: The emergence of multimedia and high-speed networks has expanded the class of applications that combine the timing requirements of hard real-time applications with the need for operating system services typically available only on soft-real time or time-sharing systems. These applications, which the authors describe as firm real-time, currently have no widely-available, low-cost operating system to support them. They discuss modifications they have made to the popular Linux operating system that give it the ability to support the comparatively stringent timing requirements of these applications, while still giving them access to the full range of Linux services. Using their firm real-time system as a basis, they have developed the ATM Reference Traffic System (ARTS) that is capable of recording and accurately reproducing packet-level ATM traffic streams with timing resolution in microseconds. The effectiveness of this application, as well as the comparative ease with which it was developed illustrate the performance and utility of the system.

Migrating interactive legacy systems to Web services

Abstract: Migration of form based legacy systems towards service-oriented computing is a challenging task, requiring the adaptation of the legacy interface to the interaction paradigm of Web services. In this paper, a wrapping methodology is proposed to make interactive functionalities of legacy systems accessible as Web services. The wrapper that is used for interacting with the legacy system acts as an interpreter of a finite state automaton that describes the model of the interaction between user and legacy system. This model is obtained by black box reverse engineering techniques. A migration process and a software architecture that allow a functionality of a legacy system to be exported as a Web service are presented in the paper.

Smartphones in ecology and evolution: a guide for the app‐rehensive

Abstract: Smartphones and their apps (application software) are now used by millions of people worldwide and represent a powerful combination of sensors, information transfer, and computing power that deserves better exploitation by ecological and evolutionary researchers. We outline the development process for research apps, provide contrasting case studies for two new research apps, and scan the research horizon to suggest how apps can contribute to the rapid collection, interpretation, and dissemination of data in ecology and evolutionary biology. We emphasize that the usefulness of an app relies heavily on the development process, recommend that app developers are engaged with the process at the earliest possible stage, and commend efforts to create open-source software scaffolds on which customized apps can be built by nonexperts. We conclude that smartphones and their apps could replace many traditional handheld sensors, calculators, and data storage devices in ecological and evolutionary research. We identify their potential use in the high-throughput collection, analysis, and storage of complex ecological information.

Wireless sensor networks for industrial applications

Abstract: We provide an in-depth study of applying wireless sensor networks (WSNs) to real-world industrial applications. Firstly, we present problem statement of industrial automation and design requirements and goals. Second, we describe a set of sample scenarios in industrial application. Then, a system design and implementation overview is developed that covers the network architecture, hardware, software, and some design and implementation issues. In the end, we give a lot of related work in this field and conclude.

An observation-based approach towards self-managing Web servers

Abstract: The Web server architectures that provide performance isolation, service differentiation, and QoS guarantees rely on external administrators to set the right parameter values for the desired performance Due to the complexity of handling varying workloads and bottleneck resources, configuring such parameters optimally becomes a challenge In this paper we describe an observation-based approach for self-managing Web servers that can adapt to changing workloads while maintaining the QoS requirements of different classes In this approach, the system state is monitored continuously and parameter values of various system resources-primarily the accept queue and the CPU-are adjusted to maintain the system-wide QoS goals We implement our techniques using the Apache Web server and the Linux operating system We first demonstrate the need to manage different resources in the system depending on the workload characteristics We then experimentally demonstrate that our observation-based system can adapt to workload changes by dynamically adjusting the resource shares in order to maintain the QoS goals