131,767 research outputs found
Report from GI-Dagstuhl Seminar 16394: Software Performance Engineering in the DevOps World
This report documents the program and the outcomes of GI-Dagstuhl Seminar
16394 "Software Performance Engineering in the DevOps World".
The seminar addressed the problem of performance-aware DevOps. Both, DevOps
and performance engineering have been growing trends over the past one to two
years, in no small part due to the rise in importance of identifying
performance anomalies in the operations (Ops) of cloud and big data systems and
feeding these back to the development (Dev). However, so far, the research
community has treated software engineering, performance engineering, and cloud
computing mostly as individual research areas. We aimed to identify
cross-community collaboration, and to set the path for long-lasting
collaborations towards performance-aware DevOps.
The main goal of the seminar was to bring together young researchers (PhD
students in a later stage of their PhD, as well as PostDocs or Junior
Professors) in the areas of (i) software engineering, (ii) performance
engineering, and (iii) cloud computing and big data to present their current
research projects, to exchange experience and expertise, to discuss research
challenges, and to develop ideas for future collaborations
ptp++: A Precision Time Protocol Simulation Model for OMNeT++ / INET
Precise time synchronization is expected to play a key role in emerging
distributed and real-time applications such as the smart grid and Internet of
Things (IoT) based applications. The Precision Time Protocol (PTP) is currently
viewed as one of the main synchronization solutions over a packet-switched
network, which supports microsecond synchronization accuracy. In this paper, we
present a PTP simulation model for OMNeT++ INET, which allows to investigate
the synchronization accuracy under different network configurations and
conditions. To show some illustrative simulation results using the developed
module, we investigate on the network load fluctuations and their impacts on
the PTP performance by considering a network with class-based
quality-of-service (QoS) support. The simulation results show that the network
load significantly affects the network delay symmetry, and investigate a new
technique called class probing to improve the PTP accuracy and mitigate the
load fluctuation effects.Comment: Published in: A. F\"orster, C. Minkenberg, G. R. Herrera, M. Kirsche
(Eds.), Proc. of the 2nd OMNeT++ Community Summit, IBM Research - Zurich,
Switzerland, September 3-4, 201
Innovation in Services - Theoretical Approach
The aim of this article is to present the evolution of theoretical studies on service innovation. The author also attempts to put these different approaches to service innovation into order and to indicate the possible forms of service innovation that emerge from these researches. In further part of the article the issue of the availability of statistical data and its relevance to the possible forms of service innovation, as well as some changes that has been implemented recently in order to improve this relevance, are discussed.Celem artykułu jest przedstawienie ewolucji teoretycznych badań nad innowacjami w usługach. Autorka podejmuje również próbę uporządkowania różnych podejść do kwestii innowacji usługowych oraz wskazać możliwe formy tych innowacji, wyłaniające się z analizowanych badań. W dalszej części artykułu, podejmowana jest kwestia dostępności danych statystycznych oraz ich adekwatności, jeśli chodzi o możliwość zastosowania do analizy różnych form innowacji usługowych. Omawiane są również wprowadzone ostatnio zmiany, mające na celu poprawę adekwatności tych danych
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