The Experts below are selected from a list of 21 Experts worldwide ranked by ideXlab platform
Toru Ishida - One of the best experts on this subject based on the ideXlab platform.
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Analysis of Large-Scale Service Network Tolerance to Cascading Failure
IEEE Internet of Things Journal, 2016Co-Authors: Kemas Muslim Lhaksmana, Yohei Murakami, Toru IshidaAbstract:The future Internet will be populated with a massive number of cooperating Services due to the rapid growth of publicly available Services and the adoption of Service-oriented computing (SOC) into the Internet of Things. The adoption of SOC enables combining the functionalities of smart devices as combining Services by means of Service composition. These cooperating Services form a large-scale Service network where the nodes and the links represent Services and the dependency between Services, respectively. The dependency between Services potentially causes cascading failure, where the failure of a Service propagates to its dependent Services. Due to the lack of research in this type of cascading failure, we analyzed cascading failure in Service networks for different topology and different degree of Service Interdependency. We found that the number of cascading failure is somewhat linear to the average number of required Services, and decays exponentially over the average number of alternate Services. The latter suggests that cascading failure tolerance can be significantly improved by adding few alternate Services to each required Service if the average number of alternate Services is currently low. In addition, we also found that scale-free topology provides better tolerance, subsequently followed by exponential and random topology.
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SCC - Cascading Failure Tolerance in Large-Scale Service Networks
2015 IEEE International Conference on Services Computing, 2015Co-Authors: Kemas Muslim Lhaksmana, Yohei Murakami, Toru IshidaAbstract:The rapid growth of Services and the Internet of Things vision lead to the future of Internet in which a massive number of Services are available and connected to each other. In such Service network, dependency between Services potentially causes cascading failure, where the failure of one Service can cause the failure of dependent Services. Cascading failure tolerance is determined by the topology of the network and the degree of Service Interdependency. As to the former, we analyze cascading failure in scale-free, exponential, and random Service networks. We find that scale-free topology has generally the highest tolerance. This is contrast to cascading failure in power network, where random topology provides better tolerance. For the latter, we find that the number of cascade failed nodes increases as the inverse of the average number of alternate Services, e.g. Functionally equivalent Services. This suggests that increasing the number of alternate Services can significantly improve the network tolerance if each Service only has few alternate Services available.
Kemas Muslim Lhaksmana - One of the best experts on this subject based on the ideXlab platform.
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Analysis of Large-Scale Service Network Tolerance to Cascading Failure
IEEE Internet of Things Journal, 2016Co-Authors: Kemas Muslim Lhaksmana, Yohei Murakami, Toru IshidaAbstract:The future Internet will be populated with a massive number of cooperating Services due to the rapid growth of publicly available Services and the adoption of Service-oriented computing (SOC) into the Internet of Things. The adoption of SOC enables combining the functionalities of smart devices as combining Services by means of Service composition. These cooperating Services form a large-scale Service network where the nodes and the links represent Services and the dependency between Services, respectively. The dependency between Services potentially causes cascading failure, where the failure of a Service propagates to its dependent Services. Due to the lack of research in this type of cascading failure, we analyzed cascading failure in Service networks for different topology and different degree of Service Interdependency. We found that the number of cascading failure is somewhat linear to the average number of required Services, and decays exponentially over the average number of alternate Services. The latter suggests that cascading failure tolerance can be significantly improved by adding few alternate Services to each required Service if the average number of alternate Services is currently low. In addition, we also found that scale-free topology provides better tolerance, subsequently followed by exponential and random topology.
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SCC - Cascading Failure Tolerance in Large-Scale Service Networks
2015 IEEE International Conference on Services Computing, 2015Co-Authors: Kemas Muslim Lhaksmana, Yohei Murakami, Toru IshidaAbstract:The rapid growth of Services and the Internet of Things vision lead to the future of Internet in which a massive number of Services are available and connected to each other. In such Service network, dependency between Services potentially causes cascading failure, where the failure of one Service can cause the failure of dependent Services. Cascading failure tolerance is determined by the topology of the network and the degree of Service Interdependency. As to the former, we analyze cascading failure in scale-free, exponential, and random Service networks. We find that scale-free topology has generally the highest tolerance. This is contrast to cascading failure in power network, where random topology provides better tolerance. For the latter, we find that the number of cascade failed nodes increases as the inverse of the average number of alternate Services, e.g. Functionally equivalent Services. This suggests that increasing the number of alternate Services can significantly improve the network tolerance if each Service only has few alternate Services available.
Yohei Murakami - One of the best experts on this subject based on the ideXlab platform.
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Analysis of Large-Scale Service Network Tolerance to Cascading Failure
IEEE Internet of Things Journal, 2016Co-Authors: Kemas Muslim Lhaksmana, Yohei Murakami, Toru IshidaAbstract:The future Internet will be populated with a massive number of cooperating Services due to the rapid growth of publicly available Services and the adoption of Service-oriented computing (SOC) into the Internet of Things. The adoption of SOC enables combining the functionalities of smart devices as combining Services by means of Service composition. These cooperating Services form a large-scale Service network where the nodes and the links represent Services and the dependency between Services, respectively. The dependency between Services potentially causes cascading failure, where the failure of a Service propagates to its dependent Services. Due to the lack of research in this type of cascading failure, we analyzed cascading failure in Service networks for different topology and different degree of Service Interdependency. We found that the number of cascading failure is somewhat linear to the average number of required Services, and decays exponentially over the average number of alternate Services. The latter suggests that cascading failure tolerance can be significantly improved by adding few alternate Services to each required Service if the average number of alternate Services is currently low. In addition, we also found that scale-free topology provides better tolerance, subsequently followed by exponential and random topology.
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SCC - Cascading Failure Tolerance in Large-Scale Service Networks
2015 IEEE International Conference on Services Computing, 2015Co-Authors: Kemas Muslim Lhaksmana, Yohei Murakami, Toru IshidaAbstract:The rapid growth of Services and the Internet of Things vision lead to the future of Internet in which a massive number of Services are available and connected to each other. In such Service network, dependency between Services potentially causes cascading failure, where the failure of one Service can cause the failure of dependent Services. Cascading failure tolerance is determined by the topology of the network and the degree of Service Interdependency. As to the former, we analyze cascading failure in scale-free, exponential, and random Service networks. We find that scale-free topology has generally the highest tolerance. This is contrast to cascading failure in power network, where random topology provides better tolerance. For the latter, we find that the number of cascade failed nodes increases as the inverse of the average number of alternate Services, e.g. Functionally equivalent Services. This suggests that increasing the number of alternate Services can significantly improve the network tolerance if each Service only has few alternate Services available.
Amit V. Deokar - One of the best experts on this subject based on the ideXlab platform.
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AMCIS - Information buried in B2B contracts: Towards identifying interdependencies in IT Service processes
2008Co-Authors: Sagnika Sen, Amit V. DeokarAbstract:A key aspect of Information Technology Service Management (ITSM) is the monitoring and evaluation of Service performance – a task that is complicated by the presence of interrelationships among different Service processes in a multiService contract. While success in the Service arrangement requires participant organizations’ knowledge about the nature of Service dependency and their subsequent effect on performance measures; such information is often tacitly present in the Service level agreement/contract documents. In this context, the aim of our research is extracting information that might be hidden in the Service contracts to assist in better process management and contract (re)negotiation. We propose an information extraction driven framework for analyzing Service Level Agreements (SLA) for IT Services. Our framework consists of three stages – 1) Service Entity Recognition, 2) Service Entity Context Recognition, and 3) Service Interdependency Analysis. In this article the focus is on stage 1, where we identify interrelationships by using domain ontology on a set of annotated industry-standard SLAs. Our ongoing research is aimed towards the creation and subsequent validation of process models from the information extracted from SLAs that will help both customer and Service provider organizations in contract and compensation formulation, resource allocation, and SLA life cycle management.
Ricardo Azevedo Silva - One of the best experts on this subject based on the ideXlab platform.
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Recent tertiary (Services) evolution in Brazil
2017Co-Authors: Ricardo Azevedo SilvaAbstract:Resumo:Esta tese trata de questões referentes ao papel de determinados serviços no desenvolvimento econômico. No caso da experiência brasileira, o desenvolvimento do Terciário no contexto da recente reestruturação econômica teve participação importante. Na década de 1990 a economia nacional foi palco de grandes transformações, nas quais alguns serviços reestruturados e/ou "modernizados" e mais dinâmicos permitiram maior agilidade econômica. O reordenamento da economia nacional e as novas formas de inter-relacionamento setorial vêm exercendo efeitos sobre a localização de muitas atividades econômicas, abrindo novas janelas de oportunidade. Temia-se que essas transformações levassem à "desindustrialização" e uma concentração do PIB e das ocupações nas macro-regiões e nos estados mais desenvolvidos (notadamente os que apresentam as maiores estruturas industriais). Mas a análise dos dados sobre o crescimento do PIB no Brasil nos leva a crer numa forte interdependência dos serviços com o desempenho da Indústria e da Agricultura. Não há elementos suficientes para afirmar que tenha havido uma autonomização apontando um rearranjo no qual o Terciário passe a ditar a dinâmica do desenvolvimento econômico. A evolução das ocupações mostra um crescimento maior justamente de serviços distributivos e produtivos, fortemente influenciados pelas atividades produtivas industriais e agroindustriais. Mesmo que se trate de uma estratégia de redução de custos frente à elevada tributação da folha de pagamento, isso não afasta as evidências de que a sinergia de determinados serviços com outros setores da economia não tenha aumentado consideravelmente nas duas últimas décadas. Quanto à concentração regional foi possível constatar uma redistribuição do PIB (IBGE) e das ocupações (PNAD/IBGE) em direção das macrorregiões periféricas. O papel dos setores recentemente reestruturados do Terciário nacional nesse processo é o objeto de estudo dessa tese. Esses setores fortaleceram seu poder de influir no desenvolvimento econômico setorial e regional do Brasil. Mas mesmo esses setores tendo aumentado sua contribuição ao crescimento do PIB do Brasil, este aumento foi pequeno perto do aumento das ocupações (PNAD) nos grupos de apoio a produção a que pertencem (serviços distributivos e serviços produtivos) e o aumento das ocupações nos setores tradicionais foi muito elevado (serviços coletivos e serviços pessoais)Abstract: The following thesis discusses some issues on the role played by some specific kinds of Services in economic development. Within Brazilian experience, the Tertiary Sector development was very significant in the context of recent economic restructuring. Through the 1990's Brazilian national economy was a scenario of great transformation in which a few restructured and / or modernized, more dynamic Services made room for greater economic agility. National economy's rearrangement and the new features of economic sectors inter-relations have been causing impacts on economic activity location and presenting new opportunities. One feared these transformations would cause "de-industrialization" and GDP and occupational concentration on more developed macro-regions and states (especially within those which hold the biggest industrial structures). But analysis on Brazilian GDP growth data leads to the finding of great Service Interdependency regarding Industry and Agriculture economic performances. There are no sufficient elements to support the theoretical point of view that there has been a tertiary self-determination, a change towards an economic arrangement in which the Services Sector would guide the dynamics of economic development. Labor market behavior shows a higher occupational growth precisely on productive and distributive Services, which are strongly influenced by industrial and agri-industrial productive activities. Even when that kind of behavior is guided by a firm strategy of cost reduction - due to high payroll taxation - it does not erase strong evidence of increasing synergy between certain Services and other economic activity sectors in the two last decades. As to regional concentration of economic activities, it has been possible to identify redistribution of GDP (IBGE data) and occupations (PNAD-IBGE data) towards peripheral macro-regions. The role of recently restructured activities of the national Tertiary Sector within that process of change is the aim of this thesis. These activities have strengthened their power of influence on Brazilian sector and regional economic development. Despite having an increased in Brazilian GDP growth, these tertiary activities are more significant when it comes to their higher labor increased (PNAD-IBGE data), i.e., the volume of occupations provided by production-support Service activities (distributive and production Services); and the increase of occupations in the traditional sectors was high to (collective and social Services