No abstract

No abstract

Quantum Computing is emerging as one of the great hopes for boosting current computational resources and enabling the application of ICT for optimizing processes and solving complex and challenging domain specific problems. However, the Quantum Computing technology has not matured to a level where it can provide a clear advantage over high performance computing yet. Towards achieving this "quantum advantage", a larger number of Qubits is required, leading inevitably to a more complex topology of the computing Qubits. This raises additional difficulties with decoherence times and implies higher Qubit error rates. Nevertheless, the current Noisy Intermediate-Scale Quantum (NISQ) computers can prove useful despite the intrinsic uncertainties on the quantum hardware layer. In order to utilize such error-prone computing resources, various concepts are required to address Qubit errors and to deliver successful computations. In this paper describe and motivate the need for the novel concept of Quantum DevOps. which entails regular checking of the reliability of NISQ Quantum Computing (QC) instances. By means of testing the computational reliability of basic quantum gates and computations (C-NOT, Hadamard, etc.)it consequently estimates the likelihood for a large scale critical computation (e.g. calculating hourly traffic flow models for a city) to provide results of sufficient quality. Following this approach to select the best matching (cloud) QC instance and having it integrated directly with the processes of development, testing and finally the operations of quantum based algorithms and systems enables the Quantum DevOps concept.

No abstract

No abstract

The rapid growth of IoT across the globe has been significant over the past decade. As the number of connected devices increases by the order of billions year over year, the capacity and operating costs of IoT networks and associated communications software becomes crucial. The manufacturers, software developers, integrators, telco operators as well as business-end users face an increasing need of a benchmarking reference that covers performance aspects of IoT transport protocols. This paper introduces a performance benchmarking methodology as well as examples for the definition of performance tests for the MQTT protocol. The implementation work was done within the open source project IoT Testware project which is part of the Eclipse Foundation. The test suites were specified in TDL-TO and realized in TTCN-3 using the open source IDE Eclipse Titan. The test specifications are covered by the standardization activities of the ETSI working group MTS TST.

This article reports on experiences from the use of the ETSI Test Description Language (TDL) and its extension for structured test objective specification (TDL-TO) for the definition of functional and non-functional test purposes in the Internet of Things (IoT) domain. The experiences are based on results from different working groups at ETSI TC MTS and the ETSI Specialist Task Force (STF) 574, focusing on the definition of test purposes for functional, security, and performance testing of the CoAP and MQTT protocols as well as VxLTE interoperability testing.

No abstract