Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227913
C. Ardagna, E. Damiani, R. Jhawar, V. Piuri
We present a reliability certification scheme in which services are modeled as discrete-time Markov chains. A machine-readable certificate is issued to the service after validating its reliability properties, and validity of the certificate is verified using constant run-time monitoring. In addition, we present a solution that allows users to search and select services with a given set of reliability properties. Our solution is integrated within existing Service-Oriented Architectures (SOAs), and allows validation of users' preferences both at discovery-time and at run-time.
{"title":"A model-based approach to reliability certification of services","authors":"C. Ardagna, E. Damiani, R. Jhawar, V. Piuri","doi":"10.1109/DEST.2012.6227913","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227913","url":null,"abstract":"We present a reliability certification scheme in which services are modeled as discrete-time Markov chains. A machine-readable certificate is issued to the service after validating its reliability properties, and validity of the certificate is verified using constant run-time monitoring. In addition, we present a solution that allows users to search and select services with a given set of reliability properties. Our solution is integrated within existing Service-Oriented Architectures (SOAs), and allows validation of users' preferences both at discovery-time and at run-time.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"73 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123525157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227926
M. Leinweber, Lars Baumgärtner, Marco Mernberger, T. Fober, E. Hüllermeier, G. Klebe, Bernd Freisleben
In this paper, we present a novel approach for using a GPU-based Cloud computing infrastructure to efficiently perform a structural comparison of protein binding sites. The original CPU-based Java version of a recent graph-based algorithm called SEGA has been rewritten in OpenCL to run on NVIDIA GPUs in parallel on a set of Amazon EC2 Cluster GPU Instances. This new implementation of SEGA has been tested on a subset of protein structure data contained in the CavBase, providing a structural comparison of protein binding sites on a much larger scale than in previous research efforts reported in the literature.
{"title":"GPU-based Cloud computing for comparing the structure of protein binding sites","authors":"M. Leinweber, Lars Baumgärtner, Marco Mernberger, T. Fober, E. Hüllermeier, G. Klebe, Bernd Freisleben","doi":"10.1109/DEST.2012.6227926","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227926","url":null,"abstract":"In this paper, we present a novel approach for using a GPU-based Cloud computing infrastructure to efficiently perform a structural comparison of protein binding sites. The original CPU-based Java version of a recent graph-based algorithm called SEGA has been rewritten in OpenCL to run on NVIDIA GPUs in parallel on a set of Amazon EC2 Cluster GPU Instances. This new implementation of SEGA has been tested on a subset of protein structure data contained in the CavBase, providing a structural comparison of protein binding sites on a much larger scale than in previous research efforts reported in the literature.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115174150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227906
Asif Sangrasi, K. Djemame
Service Level Agreements in Grids improve upon the Best Effort Approach which provides no guarantees for provision of any Quality of Service (QoS) between the End User and the Resource Provider. Risk Assessment in Grids improves upon SLA by provision of Risk information to resource provider. Most of the previous studies of Risk Assessment in Grids work at node level. As a node failure can be a failure of any component such as Disk, CPU, Memory, Software, etcetera, the risk assessment at component level in Grids was introduced. In this work, we propose a Risk Assessment Model at component level while considering Grid resources as repairable. This work can be differentiated from the other works by the fact that the past efforts in Risk Assessment in Grids consider Grid Resources as replaceable rather than repairable. This Semi Markov model relies on the distribution fitting for both time to Failure and Time to Repair, extracted from the Grid Failure data during the data analysis section. By using Grid Failure data, the utilization of this Grid model is demonstrated by providing (Probability of Failure) PoF and (Probability of Repair) PoR values for different components. The experimental results indicate the PoF and PoR behave vary differently with the latter showing considerably times required for repair as compared to expectance of a failure. The risk information provided by this Risk Assessment Model will help Resource provider to use the Grid Resources efficiently and achieve effective scheduling.
{"title":"Assessing risk in Grids at resource level considering Grid resources as repairable using two state Semi Markov model","authors":"Asif Sangrasi, K. Djemame","doi":"10.1109/DEST.2012.6227906","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227906","url":null,"abstract":"Service Level Agreements in Grids improve upon the Best Effort Approach which provides no guarantees for provision of any Quality of Service (QoS) between the End User and the Resource Provider. Risk Assessment in Grids improves upon SLA by provision of Risk information to resource provider. Most of the previous studies of Risk Assessment in Grids work at node level. As a node failure can be a failure of any component such as Disk, CPU, Memory, Software, etcetera, the risk assessment at component level in Grids was introduced. In this work, we propose a Risk Assessment Model at component level while considering Grid resources as repairable. This work can be differentiated from the other works by the fact that the past efforts in Risk Assessment in Grids consider Grid Resources as replaceable rather than repairable. This Semi Markov model relies on the distribution fitting for both time to Failure and Time to Repair, extracted from the Grid Failure data during the data analysis section. By using Grid Failure data, the utilization of this Grid model is demonstrated by providing (Probability of Failure) PoF and (Probability of Repair) PoR values for different components. The experimental results indicate the PoF and PoR behave vary differently with the latter showing considerably times required for repair as compared to expectance of a failure. The risk information provided by this Risk Assessment Model will help Resource provider to use the Grid Resources efficiently and achieve effective scheduling.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126283435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227951
B. Mensing, U. Goltz, Adina Aniculaesei, Sebastian Herold, A. Rausch, Stefan Gärtner, K. Schneider
Modern large-scale software-intensive systems are complex conglomerates of interacting (socio-) technical systems. The single systems are highly adaptive and autonomous leading to emergent behavior. Well-established development approaches, that are appropriate for single software-intensive systems, do not scale well for such systems-of-systems; the focus of development shifts from a complete specification of the system to the handling of emergent behavior. Traditional development approaches are not prepared for that shift. This paper outlines an integrated software development approach for IT ecosystems, a class of ultra-large scale software intensive systems. Single systems as parts of IT ecosystems are developed applying common model-driven techniques while rules specify how to detect emergent and undesired behavior and how to react. The integrated solution aims at enabling model-driven software development for IT ecosystems. The approach will be demonstrated and discussed by its application to a feasibility study. The presented concepts are part of the methodological foundation of future tool support for software development in IT ecosystems.
{"title":"Towards integrated rule-driven software development for IT ecosystems","authors":"B. Mensing, U. Goltz, Adina Aniculaesei, Sebastian Herold, A. Rausch, Stefan Gärtner, K. Schneider","doi":"10.1109/DEST.2012.6227951","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227951","url":null,"abstract":"Modern large-scale software-intensive systems are complex conglomerates of interacting (socio-) technical systems. The single systems are highly adaptive and autonomous leading to emergent behavior. Well-established development approaches, that are appropriate for single software-intensive systems, do not scale well for such systems-of-systems; the focus of development shifts from a complete specification of the system to the handling of emergent behavior. Traditional development approaches are not prepared for that shift. This paper outlines an integrated software development approach for IT ecosystems, a class of ultra-large scale software intensive systems. Single systems as parts of IT ecosystems are developed applying common model-driven techniques while rules specify how to detect emergent and undesired behavior and how to react. The integrated solution aims at enabling model-driven software development for IT ecosystems. The approach will be demonstrated and discussed by its application to a feasibility study. The presented concepts are part of the methodological foundation of future tool support for software development in IT ecosystems.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129061748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227939
N. Malhéné, A. Trentini, G. Marquès, P. Burlat
All works in the domain of Urban logistics demonstrated that these Freight Consolidation Centers contribute to limit the emission of carbon dioxide and air pollutants in the cities. However their economical business model is quite fragile. To increase the profitability of these platforms, it will be compulsory to enlarge the scope of their activities and to diversify their operating modes through additional services. This paper proposes a global overview on urban freight consolidation centers issues. A particular focus is made on the interoperability problematic associated to these centers' activities.
{"title":"Freight consolidation centers for urban logistics solutions: The key role of interoperability","authors":"N. Malhéné, A. Trentini, G. Marquès, P. Burlat","doi":"10.1109/DEST.2012.6227939","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227939","url":null,"abstract":"All works in the domain of Urban logistics demonstrated that these Freight Consolidation Centers contribute to limit the emission of carbon dioxide and air pollutants in the cities. However their economical business model is quite fragile. To increase the profitability of these platforms, it will be compulsory to enlarge the scope of their activities and to diversify their operating modes through additional services. This paper proposes a global overview on urban freight consolidation centers issues. A particular focus is made on the interoperability problematic associated to these centers' activities.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127959503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227924
Tobore Ekwevugbe, N. Brown, Denis Fan
Building occupancy sensing is useful for control of building services such as lighting and ventilation, enabling energy savings, whilst maintaining a comfortable environment. However, a precise and reliable measurement of occupancy still remains difficult. Existing technologies are plagued with a number of issues ranging from unreliable data, maintaining privacy, sensor drift, change of use, and short-term financial pressures, including low quality parts and insufficient commissioning. A major performance barrier is currently the fitness to purpose, or otherwise of sensing technologies used. Sensor fusion techniques offer a way to make up for this, aiming to more reliably determine occupancy using a range of different indoor climatic variables. Over the last decade, artificial intelligence (AI) techniques have found some application for building controls, and can also be applied to occupancy estimation. We describe a novel methodology for building occupancy detection using a sensor fusion model based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm. The system monitors indoor climatic variables, indoor events and energy data obtained from a non-domestic building to infer occupancy patterns.
{"title":"A design model for building occupancy detection using sensor fusion","authors":"Tobore Ekwevugbe, N. Brown, Denis Fan","doi":"10.1109/DEST.2012.6227924","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227924","url":null,"abstract":"Building occupancy sensing is useful for control of building services such as lighting and ventilation, enabling energy savings, whilst maintaining a comfortable environment. However, a precise and reliable measurement of occupancy still remains difficult. Existing technologies are plagued with a number of issues ranging from unreliable data, maintaining privacy, sensor drift, change of use, and short-term financial pressures, including low quality parts and insufficient commissioning. A major performance barrier is currently the fitness to purpose, or otherwise of sensing technologies used. Sensor fusion techniques offer a way to make up for this, aiming to more reliably determine occupancy using a range of different indoor climatic variables. Over the last decade, artificial intelligence (AI) techniques have found some application for building controls, and can also be applied to occupancy estimation. We describe a novel methodology for building occupancy detection using a sensor fusion model based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm. The system monitors indoor climatic variables, indoor events and energy data obtained from a non-domestic building to infer occupancy patterns.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134294224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227922
I. Ciuciu, R. Meersman, T. Dillon
This paper proposes a revolutionary approach to Smart Energy Grids which empowers communities of consumers as first-class citizens with a novel role in the management of their electricity by sharing excess electricity and therefore becoming energy producers (prosumers). The approach makes innovations on smart technologies and processes by building a demand-response decision support system on top of smart metering and social web technologies. This is achieved using a framework to connect dynamic, context-aware, heterogeneous virtual and real entities on the Internet of Smart Meters (IoSM) and by studying the behavior of communities on it. The smart electricity meters are transformed into fully-fledged intelligent computers on the IoSM, enabled to (i) securely collect data from heterogeneous meters and sensors and actuators, (ii) detect smart meters with similar goals, (iii) exchange and aggregate data from multiple autonomous physical or virtual meters, and (iv) manage the actual energy demand and ensure the achievement of demand response for the community involved. The approach is centered on the community and its respective DSOs, where each prosumer is represented as a node on the IoSM through their electricity meters, sensors and actuators. This allows for rational energy exchange between technical and non-technical participants by expressing their goals in a standardized language through hybrid ontologies.
{"title":"Social network of smart-metered homes and SMEs for grid-based renewable energy exchange","authors":"I. Ciuciu, R. Meersman, T. Dillon","doi":"10.1109/DEST.2012.6227922","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227922","url":null,"abstract":"This paper proposes a revolutionary approach to Smart Energy Grids which empowers communities of consumers as first-class citizens with a novel role in the management of their electricity by sharing excess electricity and therefore becoming energy producers (prosumers). The approach makes innovations on smart technologies and processes by building a demand-response decision support system on top of smart metering and social web technologies. This is achieved using a framework to connect dynamic, context-aware, heterogeneous virtual and real entities on the Internet of Smart Meters (IoSM) and by studying the behavior of communities on it. The smart electricity meters are transformed into fully-fledged intelligent computers on the IoSM, enabled to (i) securely collect data from heterogeneous meters and sensors and actuators, (ii) detect smart meters with similar goals, (iii) exchange and aggregate data from multiple autonomous physical or virtual meters, and (iv) manage the actual energy demand and ensure the achievement of demand response for the community involved. The approach is centered on the community and its respective DSOs, where each prosumer is represented as a node on the IoSM through their electricity meters, sensors and actuators. This allows for rational energy exchange between technical and non-technical participants by expressing their goals in a standardized language through hybrid ontologies.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128604153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227918
Dejan Ilić, P. Silva, S. Karnouskos, Martin Griesemer
The smart grid vision relies on active interaction with all of its stakeholders. As consumers are acquiring energy generation capabilities, hence becoming prosumers (producers and consumers), a meaningful way to interact among them would be to trade over a marketplace. Market-driven interactions have been proposed as a promising potential interaction method due to the monetary incentives and other benefits involved for the participants [1]. In the Internet era an on-line marketplace is an thriving concept as it overcomes potential accessibility issues, however it is not clear how they should be structured, operated, what their limits and benefits might be. The design, implementation, modus-operandi as well as the assessment of such an energy market place for smart grid neighbourhoods is presented.
{"title":"An energy market for trading electricity in smart grid neighbourhoods","authors":"Dejan Ilić, P. Silva, S. Karnouskos, Martin Griesemer","doi":"10.1109/DEST.2012.6227918","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227918","url":null,"abstract":"The smart grid vision relies on active interaction with all of its stakeholders. As consumers are acquiring energy generation capabilities, hence becoming prosumers (producers and consumers), a meaningful way to interact among them would be to trade over a marketplace. Market-driven interactions have been proposed as a promising potential interaction method due to the monetary incentives and other benefits involved for the participants [1]. In the Internet era an on-line marketplace is an thriving concept as it overcomes potential accessibility issues, however it is not clear how they should be structured, operated, what their limits and benefits might be. The design, implementation, modus-operandi as well as the assessment of such an energy market place for smart grid neighbourhoods is presented.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124320691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227952
N. Le, Lukas Märtin, Christopher Mumme, Niels Pinkwart
Multi-agent approaches can be applied to model behaviour and relations of entities in cyber-physical systems. Here entities frequently compete on insufficient resources (e.g., hardware) at the same time. Hence, resource conflicts between several agents are one of the most important conflict types in such multi-agent systems. These conflicts can significantly slow the operation of a system down, or in the worst case, might lead to a system halt. In this paper, we investigate the challenge of efficiently detecting resource conflicts. For this purpose, we introduce a conflict detection model based on beliefs of BDI agents. One benefit of our approach is that conflicts are detected using local belief state information of agents without communication. For evaluation purposes we apply our conflict detection model to a multi-agent system representing a transportation service with moving robots on a fictitious airport to measure the rate of collisions and completed transportation tasks. The evaluation study showed that the system deploying the conflict detection model can avoid collisions between moving agents and agents execute tasks successfully.
{"title":"Communication-free detection of resource conflicts in multi-agent-based cyber-physical systems","authors":"N. Le, Lukas Märtin, Christopher Mumme, Niels Pinkwart","doi":"10.1109/DEST.2012.6227952","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227952","url":null,"abstract":"Multi-agent approaches can be applied to model behaviour and relations of entities in cyber-physical systems. Here entities frequently compete on insufficient resources (e.g., hardware) at the same time. Hence, resource conflicts between several agents are one of the most important conflict types in such multi-agent systems. These conflicts can significantly slow the operation of a system down, or in the worst case, might lead to a system halt. In this paper, we investigate the challenge of efficiently detecting resource conflicts. For this purpose, we introduce a conflict detection model based on beliefs of BDI agents. One benefit of our approach is that conflicts are detected using local belief state information of agents without communication. For evaluation purposes we apply our conflict detection model to a multi-agent system representing a transportation service with moving robots on a fictitious airport to measure the rate of collisions and completed transportation tasks. The evaluation study showed that the system deploying the conflict detection model can avoid collisions between moving agents and agents execute tasks successfully.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125029831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227919
R. Kazi, R. Deters
The Digital Ecosystem (DE) paradigm is a holistic management/design/integration approach that is based on the notion of self-interested, self-managing, proactive and autonomous digital entities that evolve and self-organize. This in turn leads to the emergence of complex, self-organizing behaviours within a DE due to the evolving and highly dynamic interactions of its members. These interactions are however strongly influenced by the IT environment in which the DE is situated. Interestingly, our IT environments are currently undergoing a major transformation due to the declining importance of the desktop computing model. As smartphones and tablets begin to replace the desktop as the primary means of interacting with IT resources, our IT infrastructures are adapted to serve the increasing numbers of resource-constrained, wirelessly connected mobile devices that interact with backend components hosted in a cloud. These changes of the IT environment have also a major impact on the way Digital Ecosystems can be designed and how they operate. This paper focusses on the communication challenges of mobile digital ecosystems and presents an event-oriented form of communication that ensures high-scalability and loose coupling.
{"title":"Mobile event-oriented digital ecosystem","authors":"R. Kazi, R. Deters","doi":"10.1109/DEST.2012.6227919","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227919","url":null,"abstract":"The Digital Ecosystem (DE) paradigm is a holistic management/design/integration approach that is based on the notion of self-interested, self-managing, proactive and autonomous digital entities that evolve and self-organize. This in turn leads to the emergence of complex, self-organizing behaviours within a DE due to the evolving and highly dynamic interactions of its members. These interactions are however strongly influenced by the IT environment in which the DE is situated. Interestingly, our IT environments are currently undergoing a major transformation due to the declining importance of the desktop computing model. As smartphones and tablets begin to replace the desktop as the primary means of interacting with IT resources, our IT infrastructures are adapted to serve the increasing numbers of resource-constrained, wirelessly connected mobile devices that interact with backend components hosted in a cloud. These changes of the IT environment have also a major impact on the way Digital Ecosystems can be designed and how they operate. This paper focusses on the communication challenges of mobile digital ecosystems and presents an event-oriented form of communication that ensures high-scalability and loose coupling.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126944492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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