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Even though Virtual Machine Managers (VMMs) are meant to be transparent, a program may still need to know what VMM is virtualizing their environment. Developers may want to ensure their software only works in particular virtual environments, and users may want to know whether they are the victim of some virtualization-based rootkit. Various methods have been developed for programs to discover whether...
The main goal of using data with interval nature is to represent numeric information endowed with impreciseness, which are normally captured from measures of real world. However, in order to do this, it is necessary to adapt real-valued techniques to be applied on interval-based data. For interval-based clustering applications, for instance, it is necessary to propose an interval-based distance and...
In batch systems monitoring information at the level of individual jobs is crucial to optimize resource utilization and prevent misusage. However, especially the usage of network resources is difficult to track. In order to understand usage patterns in modern computing clusters, a more detailed monitoring than existent solutions is required. A monitoring on job level leads to dynamic graphs of processes...
Sporadic operations such as rolling upgrade or machine instance redeployment are prone to unpredictable failures in the cloud largely due to the inherent high variability nature of cloud. Previous dependability research has established several recovery methods for cloud failures. In this paper, we first propose eight recovery patterns for sporadic operations. We then present the filtering process...
The World Wide Web easily becomes the largest repository of natural language text data. We are particularly interested in state-of-the-art methods in exploiting geospatial information the web. The survey is done in the context of its extraction methods, retrieval, visualization, and further possible mining or knowledge discovery scenarios in order to produce thematic maps automatically from the web...
Like in every process model, agile processes (e.g. Scrum, eXtreme Programming) depend on accurate estimations to enable meaningful prioritization, iteration- and release planning. The emphasis of this paper is on "Planning Poker", a widely used estimation technique in agile context. The goal is to identify inaccurate effort estimates to enable more precise project scheduling and release...
Mobile app reviews are valuable repositories of ideas coming directly from app users. Such ideas span various topics, and in this paper we show that 23.3% of them represent feature requests, i.e. comments through which users either suggest new features for an app or express preferences for the re-design of already existing features of an app. One of the challenges app developers face when trying to...
There have been several efforts to provide service-aware technologies in the networks, such as Service-Oriented Architecture (SOA) and Service Delivery Platform (SDP). These technologies were integrated with Service Overlay Network (SON) infrastructure to support control and delivery of services over multiple network domains. However, SON has the limitations of handling the increasing need of ubiquitous...
In this paper, a methodology of failure diagnosis in automotive systems based on log file similarity is presented. It supposes that we have a set of classes representing different failures of a vehicle, each class is composed of similar log files. Then, we define a similarity metric based on Kolmogorov complexity that measures the amount of shared information between the log file of a broken vehicle...
This paper reports ongoing work on a novel mission-oriented information assurance (IA) assessment approach that contrasts runtime measurements and observations against user-specified requirements.
Situation awareness (SA) is a prerequisite to timely and accurate decision-making in the fast and highly stressful context of infantry operational environments. The introduction of electronic support technologies onto the battlefield is expected to improve SA by providing the right information, at the right time, and in the right format. In the cur rent paper, we report a systematic and innovative...
The aim of this work is to develop a methodology of failure diagnosis in automotive systems based on log file similarity. We propose a similarity metric based on Kolmogorov complexity to measure the amount of shared information between log files.
Modern parallel performance measurement systems collect performance information either through probes inserted in the application code or via statistical sampling. Probe-based techniques measure performance metrics directly using calls to a measurement library that execute as part of the application. In contrast, sampling-based systems interrupt program execution to sample metrics for statistical...
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