{"title":"A Market-Based Scheduling Mechanism Design for Cost Reduction in Home Health Care","authors":"Jie Gao, Zhijie Xie, C. Wang","doi":"10.3233/JID180013","DOIUrl":"https://doi.org/10.3233/JID180013","url":null,"abstract":"","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124172015","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}
G. Paulraj, I. Jebadurai, Jebaveerasingh Jebadurai
Though cloud data center is highly adapted for flexible, scalable and highly available computing and storage resources, it is vulnerable to failures. Predicting the occurrence of server failure and taking appropriate preventive measures are essential in the cloud data center. In order to develop fault-tolerant cloud data center, a Fault Tree Analysis (FTA) based failure aware virtual machine (VM) migration technique is proposed. A fault tree is constructed for server failure event. The server failure is estimated by analyzing the fault tree and the virtual machines are migrated proactively to an alternate server before the failure. Simulations have been carried out and performance of the proposed technique is analyzed in terms of throughput. The results show that the proposed technique outperforms the other state of art techniques.
{"title":"Fault Tree Analysis based Virtual Machine Migration for Fault-Tolerant Cloud Data Center","authors":"G. Paulraj, I. Jebadurai, Jebaveerasingh Jebadurai","doi":"10.3233/jid190014","DOIUrl":"https://doi.org/10.3233/jid190014","url":null,"abstract":"Though cloud data center is highly adapted for flexible, scalable and highly available computing and storage resources, it is vulnerable to failures. Predicting the occurrence of server failure and taking appropriate preventive measures are essential in the cloud data center. In order to develop fault-tolerant cloud data center, a Fault Tree Analysis (FTA) based failure aware virtual machine (VM) migration technique is proposed. A fault tree is constructed for server failure event. The server failure is estimated by analyzing the fault tree and the virtual machines are migrated proactively to an alternate server before the failure. Simulations have been carried out and performance of the proposed technique is analyzed in terms of throughput. The results show that the proposed technique outperforms the other state of art techniques.","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128878842","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}
{"title":"Lessons Learned from Technical Reviews in Systems Engineering Management - Recommendations to Practitioners","authors":"A. Sols, J. Romero, E. Ramiro","doi":"10.3233/JID180010","DOIUrl":"https://doi.org/10.3233/JID180010","url":null,"abstract":"","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115297093","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}
The landscape of engineering systems design has been changing in the context of recent pervasive digitalization trend and the fast development of smart cyber-physical systems or smart connected systems powered by Internet of Things. Many traditional products no longer stand alone, and they are becoming smart devices and connected with others in networks. As a result, the service quality, availability, reliability, safety, and security of those connected systems will impact each other. But more importantly, the connectivity offers opportunities for those systems to provide intelligent services, leads to synergy from the connected systems, and triggers innovative applications and business models (Huang, 2017; Huang et al., 2016; Khaitan and McCalley, 2015; Porter and Heppelmann, 2015). The increasing complexity of systems operational environment and profound impacts make systems design in the digital age become much more complex and challenging. Systems design, in a broader sense, aims to satisfy the needs and requirements of stakeholders and the operational concept (OpsCon) by defining system requirements, creating and specifying alternatives of logical architecture, physical architecture and interfaces, analysing and selecting optimal architecture(s), and creating and specifying engineering details for realizing the selected architecture(s). The concepts, principles, methodology, models and methods of systems design have been evolving for decades (Abran et al., 2004; BKCASE Editorial Board, 2017; Blanchard and Fabrycky, 2010; Buede and Miller, 2016; INCOSE, 2015; Simon, 1996, 1988, 1969; White, 1998). The evolution of the discipline is based on the practice of many specific fields of engineering systems design, such as software engineering (Boehm, 1988, 1981; INCOSE, 2015; Sangiovanni-Vincentelli and Martin, 2001), control system (Johnson, 1989; Noura et al., 2009; Tanaka and Wang, 2004), embedded systems (Henzinger and Sifakis, 2007; Kopetz, 2011), manufacturing systems (Wu, 2012), and many others. As discussed earlier, in the new landscape of smart connected operational environment, the complex interactions and their impacts between the system in design and external systems in the operational environment pose many challenges to engineering systems design. Among those challenges, security is perhaps the most significant and widely concerned issue (Humayed et al., 2017; Sadeghi et al., 2015); beyond technologies, human users frequently become the cause of security incidents, thus being a critical factor to the cybersecurity of an organization and associated digital systems. More generally, human factors have become an important consideration of systems design (Nemeth, 2004; Stanton et al., 2017; Woodson et al., 1992). Moreover, the introduction of digital systems,
随着数字化趋势的不断深入和物联网驱动的智能网络物理系统或智能连接系统的快速发展，工程系统设计的格局正在发生变化。许多传统产品不再是孤立的，它们正在成为智能设备，并在网络中与其他产品连接。因此，这些连接系统的服务质量、可用性、可靠性、安全性和安全性将相互影响。但更重要的是，连接为这些系统提供了提供智能服务的机会，导致连接系统的协同作用，并引发创新的应用和商业模式(黄，2017;黄等人，2016;Khaitan and McCalley, 2015;Porter and Heppelmann, 2015)。日益复杂的系统运行环境和深刻的影响使数字时代的系统设计变得更加复杂和具有挑战性。从更广泛的意义上讲，系统设计旨在通过定义系统需求，创建和指定逻辑架构，物理架构和接口的替代方案，分析和选择最佳架构，以及创建和指定实现所选架构的工程细节来满足利益相关者和操作概念(OpsCon)的需求和要求。系统设计的概念、原则、方法论、模型和方法已经发展了几十年(Abran et al.， 2004;BKCASE编辑委员会，2017;Blanchard and Fabrycky, 2010;比德和米勒，2016;INCOSE, 2015;Simon, 1996, 1988, 1969;白,1998)。该学科的发展是基于工程系统设计的许多特定领域的实践，如软件工程(Boehm, 1988,1981;INCOSE, 2015;Sangiovanni-Vincentelli and Martin, 2001)，控制系统(Johnson, 1989;Noura等人，2009;Tanaka and Wang, 2004)，嵌入式系统(Henzinger and Sifakis, 2007;Kopetz, 2011)，制造系统(Wu, 2012)等。如前所述，在智能互联运行环境的新格局中，设计系统与运行环境中的外部系统之间复杂的相互作用及其影响给工程系统设计带来了许多挑战。在这些挑战中，安全可能是最重要和最受广泛关注的问题(Humayed et al.， 2017;Sadeghi et al.， 2015);除了技术之外，人类用户经常成为安全事件的原因，因此成为组织和相关数字系统网络安全的关键因素。更普遍地说，人为因素已经成为系统设计的重要考虑因素(Nemeth, 2004;Stanton et al.， 2017;Woodson et al.， 1992)。此外，数字系统的引入，
{"title":"Systems Design in The Emerging Digital Age","authors":"Mengting Zhao, Jingwei Huang","doi":"10.3233/JID180015","DOIUrl":"https://doi.org/10.3233/JID180015","url":null,"abstract":"The landscape of engineering systems design has been changing in the context of recent pervasive digitalization trend and the fast development of smart cyber-physical systems or smart connected systems powered by Internet of Things. Many traditional products no longer stand alone, and they are becoming smart devices and connected with others in networks. As a result, the service quality, availability, reliability, safety, and security of those connected systems will impact each other. But more importantly, the connectivity offers opportunities for those systems to provide intelligent services, leads to synergy from the connected systems, and triggers innovative applications and business models (Huang, 2017; Huang et al., 2016; Khaitan and McCalley, 2015; Porter and Heppelmann, 2015). The increasing complexity of systems operational environment and profound impacts make systems design in the digital age become much more complex and challenging. Systems design, in a broader sense, aims to satisfy the needs and requirements of stakeholders and the operational concept (OpsCon) by defining system requirements, creating and specifying alternatives of logical architecture, physical architecture and interfaces, analysing and selecting optimal architecture(s), and creating and specifying engineering details for realizing the selected architecture(s). The concepts, principles, methodology, models and methods of systems design have been evolving for decades (Abran et al., 2004; BKCASE Editorial Board, 2017; Blanchard and Fabrycky, 2010; Buede and Miller, 2016; INCOSE, 2015; Simon, 1996, 1988, 1969; White, 1998). The evolution of the discipline is based on the practice of many specific fields of engineering systems design, such as software engineering (Boehm, 1988, 1981; INCOSE, 2015; Sangiovanni-Vincentelli and Martin, 2001), control system (Johnson, 1989; Noura et al., 2009; Tanaka and Wang, 2004), embedded systems (Henzinger and Sifakis, 2007; Kopetz, 2011), manufacturing systems (Wu, 2012), and many others. As discussed earlier, in the new landscape of smart connected operational environment, the complex interactions and their impacts between the system in design and external systems in the operational environment pose many challenges to engineering systems design. Among those challenges, security is perhaps the most significant and widely concerned issue (Humayed et al., 2017; Sadeghi et al., 2015); beyond technologies, human users frequently become the cause of security incidents, thus being a critical factor to the cybersecurity of an organization and associated digital systems. More generally, human factors have become an important consideration of systems design (Nemeth, 2004; Stanton et al., 2017; Woodson et al., 1992). Moreover, the introduction of digital systems,","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129950577","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}
The rapid diffusion of advanced hardware and software technologies and the societal challenges (Castelo-Branco et al., 2019; Martin and Leurent, 2017; United Nations, 2015), which we are urgently asked to face now and in the next years, are demanding for a widening of our design perspective. Design activities are becoming even more multidisciplinary, and designers are requested to properly evaluate in advance the effects of their solutions and the potential consequences of their decisions at a broad spectrum. Such an increase in the complexity of design activities should be seen as a stimulus and as a natural evolution of all those design processes intended to introduce radical and positive changes in our daily life. However, to properly tackle this challenge designers should continuously update their professional and cultural knowledge and skills (Dym et al., 2005) while hardware and software tools should be made, even more, widely accessible to all (e.g., see (Von Hippel, 2005)). Indeed, researchers should concentrate their efforts on developing technologies for guiding designers to take up such complexity properly, and on improving dedicated design methods, tools and guidelines. They should help designers to exploit the design potentials of current and next hardware and software technologies, and push designers to deal with such complexity more systematically. Additive Manufacturing (AM) technologies are an example of technologies that have now reached a high level of accessibility thanks to their wide diffusion. They have been conceived to enlarge the solutions space by providing more design freedom (Thompson et al., 2016): they enable the exploration of advanced design possibilities, for example, by combining multiple materials and by working at different manufacturing scales. Alone or in combination with others, they thus represent an enabling technology for the development of innovative products/services. However, considering their rapid evolution and the advanced and multidisciplinary design scenario they are offering, designers should be trained on how to, successfully, Design for Additive Manufacturing (DfAM) (Rosen et al., 2015); indeed, design process/activities can significantly benefit from the potentialities and the advantages that these technologies can provide. The papers of this issue demonstrate the fundamental role played by AM technologies, on the one hand, and the implementation of structured and comprehensive design strategies, on the other, in broadening design and designers’ perspective. Besides, it is the proper combination of these two aspects that can lead to significant steps forward when designing new products/services. The first paper, “3D printed 3D-Microfluidics: recent developments and design challenges” provides a useful state of the art in the field of the fabrication of 3D-Microfluidics devices using AM technologies. In this paper, it is shown how the technological improvement in AM could lead to a new approac
先进硬件和软件技术的快速扩散和社会挑战(Castelo-Branco等人，2019;Martin and Leurent, 2017;联合国，2015)，这是我们现在和未来几年迫切需要面对的问题，要求我们扩大设计视角。设计活动正变得更加多学科化，设计师被要求提前正确地评估他们的解决方案的效果以及他们的决策在广泛范围内的潜在后果。这种设计活动复杂性的增加应该被看作是一种刺激，是所有那些旨在为我们的日常生活引入激进和积极变化的设计过程的自然演变。然而，为了正确应对这一挑战，设计师应该不断更新他们的专业和文化知识和技能(Dym et al.， 2005)，而硬件和软件工具应该更广泛地为所有人所使用(例如，参见(Von Hippel, 2005))。事实上，研究人员应该集中精力开发技术，以指导设计师正确处理这种复杂性，并改进专门的设计方法、工具和指导方针。他们应该帮助设计师挖掘当前和未来硬件和软件技术的设计潜力，并推动设计师更系统地处理这种复杂性。增材制造(AM)技术就是一个例子，由于其广泛传播，现在已经达到了很高的可及性水平。它们被设想为通过提供更多的设计自由度来扩大解决方案空间(Thompson等人，2016):它们可以探索先进的设计可能性，例如，通过组合多种材料和在不同的制造规模下工作。因此，它们单独或与他人结合，代表了开发创新产品/服务的使能技术。然而，考虑到它们的快速发展以及它们提供的先进和多学科设计方案，设计师应该接受有关如何成功地为增材制造设计(DfAM)的培训(Rosen等人，2015);实际上，设计过程/活动可以从这些技术提供的潜力和优势中显著获益。这期的论文一方面展示了增材制造技术的基本作用，另一方面展示了结构化和全面设计策略的实施，拓宽了设计和设计师的视野。此外，在设计新产品/服务时，这两个方面的适当结合可以导致重要的进步。第一篇论文“3D打印3D微流体:最近的发展和设计挑战”提供了使用AM技术制造3D微流体设备领域的有用的艺术状态。在本文中，它显示了增材制造的技术改进如何通过允许复杂的3D通道导致创新的解决方案和应用，从而导致微流体装置设计的新方法。在3D设计和制造的新可能性的例子
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{"title":"A Co-Design Method for the Additive Manufacturing of Customised Assistive Devices for Hand Pathologies","authors":"F. Gherardini, M. Mascia, V. Bettelli, F. Leali","doi":"10.3233/jid-2018-0002","DOIUrl":"https://doi.org/10.3233/jid-2018-0002","url":null,"abstract":"","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116665794","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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