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Network Function Virtualization (NFV) has attracted a lot of attention recently both among researchers and network devices providers. By decoupling network functions from dedicated hardware devices and sharing physical network resources, NFV can allow a collection of multiple network services to run simultaneously in software modules over a shared network. However, a major challenge that needs to...
This work proposes a residential load management system using multiagent technology with the objective of cost and comfort management. Smart appliances in a residential unit are modelled as agents which are controlled using optimization algorithm. These agents cooperate and communicate with each other using agent communication language (ACL) to reduce electricity cost and high peaks without affecting...
Electricity generation from renewable sources is radically increasing in an effort to achieve the Sustainable Energy for All objective of doubling the share of renewable energy in the global energy mix by 2030. However, the current grid has difficulty accommodating variable power sources like wind and solar. To accelerate the integration of renewable distributed power generation there is a need for...
Highly distributed applications dominate today's software industry posing new challenges for novel software architectures capable of supporting real time processing and analytics. The proposed framework, so called REAXICS, is motivated by the fact that the demand for aggregating current and past big data streams requires new software methodologies, platforms and services. The proposed framework is...
We propose Powernet as an end-to-end open source technology for economically efficient, scalable and secure coordination of grid resources. It offers integrated hardware and software solutions that are judiciously divided between local embedded sensing, computing and control, which are networked with cloud-based high-level coordination for real-time optimal operations of not only centralized but also...
We consider cyclic real-time applications built using nearly autonomous components. These components can run on any of the available hosts subject to certain constraints. The hosts in the system are allowed to be heterogeneous and they can have different cycle times for real time execution. Given a set of component based applications and a set of available hosts, we propose a solution for the problem...
Because of the financial and other gains attached with the growing malware industry, there is a need to automate the process of malware analysis and provide real-time malware detection. To hide a malware, obfuscation techniques are used. One such technique is metamorphism encoding that mutates the dynamic binary code and changes the opcode with every run to avoid detection. This makes malware difficult...
Throughout an academic year, in every Educational Institution, a considerable number of days and human resources are spent trying to manually perform a task that can be automated and optimized — the creation of timetables. In a time where the need to reduce costs has become part of the day to day reality of all Educational Institutions, it is unthinkable to continue working with this kind of approach...
The paper describes a new methodology developed for model calibration and simulation of water distribution networks, starting from real time monitoring of pressures and flows throughout the system. In particular, the data recorded at the measurement stations are transmitted via GPRS to a server, archived in Oracle format, and used by the numerical simulator. Model calibration is based on a genetic...
Psychoacoustic models are the key element of MUSIC-AM audio encoding, and its DSP implementation involves a lot of computations. So whether the real-time audio encoding can be implemented using DSP mainly depends on the execution time of psychoacoustic models algorithm to a large degree. In this paper, we give a brief introduction of psychoacoustic models at the first, and then discuss its implementation...
Testing is the most important Quality Assurance (QA) measure which consumes a significant portion of budget, time and effort in the development process. For real time systems, temporal testing is as crucial as functional testing. An important activity in dynamic testing is the test case design. Evolutionary testing has shown promising results for the automation of test case design process at a reasonable...
In AUTOSAR system configuration phase, integrators face many challenges in determining the tradeoffs when mapping hundreds of software components to electronic control units (ECU), so finding a common method for this artificial process is very significant. In this paper, we provide an approach to help system integrators building a correct and efficient system configuration. In our method, nested software...
With the process of non-functional properties research on real-time systems, resource estimation and analysis of realtime systems become a hotspot. Process Algebra is a formal method fit for analyzing the functional properties of real-time systems, but it can not analyze the resource properties. Resource Communicating Sequential Process (RCSP) proposed in this paper can handle it efficiently by extending...
Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is the algorithm proposed by our group to improve traditional PSOs. Comparing with traditional PSOs, the QPSO has better global-convergence and fewer parameters. Both PSO and QPSO were generally considered to have high requirement for the computing platform; hence, it is thought impractical to employ them into resource-constrained embedded...
A novel concept of probabilistic design for soft real-time systems and a simulation methodology to optimize the design are proposed. Motivated by the challenge of how to design but not over-design, the Probabilistic Design, is the process of accurately accounting for and mitigating the effects of variation in part geometry and other environmental conditions while at the same time optimizing a target...
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