Framework Convention on Climate Change

Kaizen: The key to Japan‚s competitive success

A combined multi-criteria approach to support FMECA analyses: a real-world case

Survey, comparison and research challenges of IoT application protocols for smart farming

Thank you for downloading performance solutions a practical guide to creating responsive scalable software. As you may know, people have search numerous times for their favorite books like this performance solutions a practical guide to creating responsive scalable software, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some malicious bugs inside their laptop.

Performance Solutions A Practical Guide To Creating Responsive Scalable Software

Multi-objective optimization of IT service availability and costs

The success of big data projects depends heavily on the ability to decide which technological expertise and architectures are required in such a context. However, there is confusion in scientific discourse regarding the systemization of big data technologies which exacerbates this problem. Therefore, in this paper, a structured literature review is conducted to assess the current state of the art and give an overview about big data technology classifications. It can be stated that only very limited approaches for classifications exist, which are partially incomplete or address only single aspects of big data technologies, such as the used database type. Conducting this literature review, investigations have also been made to derive possible starting points for extending existing or developing new classification approaches, which can form the basis of a future big data classification framework. Such a concept could be used to improve the decision-support for planning and managing big data projects. However, a common understanding would require unambiguous definitions of the term technology and various other expressions, which are used in the literature as a synonym today.

Providing Clarity on Big Data Technologies: A Structured Literature Review

Over the last years, the number of Internet of Things (IoT) applications has been increased. To provide a suitable machine-to-machine communication across the applications, specific application layer protocols are used. In contrast to traditional protocols like HTTP, IoT protocols are designed to transfer information through unreliable, low bandwidth networks. This paper compares the performance of the protocols Advanced Message Queuing Protocol (AMQP), Message Queue Telemetry Transport (MQTT) and Extensible Messaging and Presence Protocol (XMPP) in the context of a monitoring business application. For that purpose, a three-layered test-bed is designed with a variable latency and Packet-Loss-Rate (PLR). MQTT performs best regarding the characteristics bandwidth usage, reliability, latency and throughput. AMQP performs worse than MQTT comparing the bandwidth usage and throughput. In contrast, XMPP has the worst values in all categories.

Performance Evaluation of Application Layer Protocols for the Internet-of-Things

Internet of things (IoT) is the focus of research, and industries are investing heavily due to potential benefits of IoT in various fields. This paper provides a holistic view of different phases in IoT covering all phases from sensor data collection to the generation of business value. In this paper, we propose to use the proven Six Sigma methodology for IoT projects. We describe each phase using a structured approach. We discuss the consequences of each phase while selecting the phase as an entry or starting point. We use predictive maintenance as a use case to demonstrate the practicability of our IoT process. Using these insights, IoT project managers can identify required activities and competencies to increase success probability. In the end, we summarise the paper findings and highlight the future work.

A Holistic View of the IoT Process from Sensors to the Business Value

When IT service providers adapt their IT system landscapes because of new technologies or changing business requirements, the effects of changes to the quality of service must be considered to fulfill service level agreements. Analytical prediction models can support this process in the service design stages, but dependencies between quality aspects are not taken into account. In this paper, a novel approach for predicting availability and response time of an IT service is developed, which is simulation-based to support dynamic analysis of service quality. The correctness of the model as well as its applicability in a real case can be evaluated. Therefore, this work presents a step towards an analytical framework for predicting IT service quality aspects.

Sascha Bosse

Papers

Multi-objective optimization of IT service availability and costs

Providing Clarity on Big Data Technologies: A Structured Literature Review

Performance Evaluation of Application Layer Protocols for the Internet-of-Things

A Holistic View of the IoT Process from Sensors to the Business Value

Predicting availability and response times of it services