An upward compatible spectrum sharing architecture for existing, actively planned and emerging mobile satellite systems

Existing and actively planned mobile satellite systems are competing for a viable share of the spectrum allocated by the International Telecommunications Union (ITU) to the satellite based mobile services in the 1.5/1.6 GHz range. The limited amount of spectrum available worldwide and the sheer number of existing and planned mobile satellite systems dictate the adoption of an architecture which will maximize sharing possibilities. A viable sharing architecture must recognize the operational needs and limitations of the existing systems. Furthermore, recognizing the right of access of the future systems as they will emerge in time, the adopted architecture must allow for additional growth and be amenable to orderly introduction of future systems. An attempt to devise such a sharing architecture is described. A specific example of the application of the basic concept to the existing and planned mobile satellite systems is also discussed

Assessments of Information Systems at Small and Medium-sized Enterprises in the Agri-food Sector

Integrated information systems under large-scale company conditions have become widespread over the past decades. Information, data management and systematic information produced from these data and arranged according to needs, however, are required by not only large-scale companies but small- and medium-sized enterprises as well in the agri-food sector. The improvement of information and communication technologies continuously influence the development of information systems, the introduction of different solutions in architecture and the application of new business models. Our research goals was to analyse the evolution of ERP (Enterprise Resource Planning), functional analysing of SME’s (Small and Medium-sized Enterprises) information systems and developing decision support tools for selection, comparison of ERPs and economical evaluation of ERP investment. This tools are partly developed and usable for SMEs in the agri-food sector

Migrating on -premises application to windows azure platform (microsoft cloud)

Legacy systems are usually attached with outdated technologies which over time become a bottleneck for organizations to manage and maintain. Old and poorly utilized architecture make systems run slow and far from expected, however sometimes organization cannot live without those. Renewing application architecture can be considered as an option but it is time consuming and very costly. Cloud computing as an ultimate solution can be proposed to migrate on-premises application to a utilized environment in terms of infrastructure, computing power and virtualization. In addition, it provides a highly available and elastic computing environment which makes organizations to only pay for what they use. In this research, after a brief introduction to main concepts of cloud computing particularly Windows Azure platform (Microsoft Cloud), it is tried to analyze and assess OnePortfolio system developed by Riskk Sdn Bhd, to see whether it is feasible to be moved to Windows Azure. OnePortfolio operates on a SOA architecture comprised of three main components: services, client application and database. Throughout this research, Windows Azure migration lifecycle in compliance with ISO/IEC 14764 international standard is used as the methodology to perform the migration. Once the application is analyzed and migrated to cloud, it is compared to on-premises environment to evaluate its performance and security mechanism

Microservice-based Reference Architecture for Semantics-aware Measurement Systems

Cloud technologies have become more important than ever with the rising need for scalable and distributed software systems. A pattern that is used in many such systems is a microservice-based architecture (MSA). MSAs have become a blueprint for many large companies and big software systems. In many scientific fields like energy and environmental informatics, efficient and scalable software systems with a primary focus on measurement data are a core requirement. Nowadays, there are many ways to solve research questions using data-driven approaches. Most of them have a need for large amounts of measurement data and according metadata. However, many measurement systems still follow deprecated guidelines such as monolithic architectures, classic relational database principles and are missing semantic awareness and interpretation of data. These problems and the resulting requirements are tackled by the introduction of a reference architecture with a focus on measurement systems that utilizes the principles of microservices. The thesis first presents the systematic design of the reference architecture by using the principles of Domain-driven Design (DDD). This process ensures that the reference architecture is defined in a modular and sustainable way in contrast to complex monolithic software systems. An extensive scientific analysis leads to the core parts of the concept consisting of the data management and semantics for measurement systems. Different data services define a concept for managing measurement data, according meta data and master data describing the business objects of the application implemented by using the reference architecture. Further concepts allow the reference architecture to define a way for the system to understand and interpret the data using semantic information. Lastly, the introduction of a frontend framework for dashboard applications represents an example for visualizing the data managed by the microservices

Profile-Guided compilation of Scilab algorithms for multiprocessor systems

DOI: 10.1007/978-3-319-05960-0_37The expression of parallelism in commonly used programming languages is still a large problem when mapping high performance embedded applications to multiprocessor system on chip devices. The Architecture oriented paraLlelization for high performance embedded Multicore systems using scilAb (ALMA) European project aims to bridge these hurdles through the introduction and exploitation of a Scilab-based toolchain which enables the efficient mapping of applications on multiprocessor platforms from a high level of abstraction. To achieve maximum performance the toolchain supports iterative application parallelization using profile-guided application compilation. In this way, the toolchain will increase the quality and performance of a parallelized application from iteration to iteration. This holistic solution of the toolchain hides the complexity of both, the application and the architecture, which leads to a better acceptance, reduced development cost, and shorter time-to-market

Can mobile eco-systems for technical innovations be standardized? The case of mobile wallets and contactless communication

This paper puts focus on the application of Near Field Communication technology (NFC) to mobile payments. Uncertainties about global policies open for a variety of local business policies. Taking into account different representations of actor interaction as described by different eco-systems by different policy forums the main research question to be discussed in the paper is: Can policies or standards describing actor roles and responsibilities for technical innovations like mobile payments remove obstacles for introduction of the innovation? Different types of industry forums are not only involved in strictly technical matters but also discuss and describe visions about how a new technique might be applied in business life. They suggest different business architectures, (not only a technical architecture), where roles of different type of actors and relations between actors are outlined based on ideas about so called eco-systems. Against this background the paper first discusses how NFC enabled mobile payments currently attracts a lot of attention and identifies four possible development paths making it happen. The paper discusses and compares how global policy networks describe the technical and business architectures for mobile payments. The paper uses a business practice analytical framework and an industrial network framework to identify major problems in connecting global and local policies. Some comments on further research finalize the paper. --Near Field Communication,mobile payments,global policy,business architecture,policy forum,industrial networks,practice

Fuzzy logic based energy and throughput aware design space exploration for MPSoCs

Multicore architectures were introduced to mitigate the issue of increase in power dissipation with clock frequency. Introduction of deeper pipelines, speculative threading etc. for single core systems were not able to bring much increase in performance as compared to their associated power overhead. However for multicore architectures performance scaling with number of cores has always been a challenge. The Amdahl's law shows that the theoretical maximum speedup of a multicore architecture is not even close to the multiple of number of cores. With less amount of code in parallel having more number of cores for an application might just contribute in greater power dissipation instead of bringing some performance advantage. Therefore there is a need of an adaptive multicore architecture that can be tailored for the application in use for higher energy efficiency. In this paper a fuzzy logic based design space exploration technique is presented that is targeted to optimize a multicore architecture according to the workload requirements in order to achieve optimum balance between throughput and energy of the system

The Family of MapReduce and Large Scale Data Processing Systems

In the last two decades, the continuous increase of computational power has produced an overwhelming flow of data which has called for a paradigm shift in the computing architecture and large scale data processing mechanisms. MapReduce is a simple and powerful programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. It isolates the application from the details of running a distributed program such as issues on data distribution, scheduling and fault tolerance. However, the original implementation of the MapReduce framework had some limitations that have been tackled by many research efforts in several followup works after its introduction. This article provides a comprehensive survey for a family of approaches and mechanisms of large scale data processing mechanisms that have been implemented based on the original idea of the MapReduce framework and are currently gaining a lot of momentum in both research and industrial communities. We also cover a set of introduced systems that have been implemented to provide declarative programming interfaces on top of the MapReduce framework. In addition, we review several large scale data processing systems that resemble some of the ideas of the MapReduce framework for different purposes and application scenarios. Finally, we discuss some of the future research directions for implementing the next generation of MapReduce-like solutions.Comment: arXiv admin note: text overlap with arXiv:1105.4252 by other author

An architecture for the design of context-aware conversational agents

Proceedings of: 8th International Conference on Practical Applications of Agents and Multiagent Systems, Salamanca, Spain, April 26-28, 2010.In this paper, we present a architecture for the development of conversational agents that provide a personalized service to the user. The different agents included in our architecture facilitate an adapted service by taking into account context information and users specific requirements and preferences. This functionality is achieved by means of the introduction of a context manager and the definition of user profiles. We describe the main characteristics of our architecture and its application to develop and evaluate an information system for an academic domain.CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02- 02/TEC, SINPROB, CAM MADRINET S-0505/TIC/0255 and DPS2008-07029-C02-02.Publicad