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approaches as well as the proposition of methodological challenges of computer simulation as a research technique in information systems research. 2704 978-1-4673-9743-8/15/$31.00 ©2015 IEEE Timm and Lorig ...doi:10.1109/wsc.2015.7408377 dblp:conf/wsc/TimmL15 fatcat:x5ze43x7kjb6tjrtyyble3t6oq
The deployment of Internet of Things (IoT) applications is complex since many quality characteristics should be taken into account, for example, performance, reliability, and security. In this study, we investigate to what extent the current edge computing simulators support the analysis of qualities that are relevant to IoT architects who are designing an IoT system. We first identify the quality characteristics and metrics that can be evaluated through simulation. Then, we study the availabledoi:10.3390/fi11110235 fatcat:hi6z2quovrhlvn4bt7umdnnyyi
more »... simulators in order to assess which of the identified qualities they support. The results show that while several simulation tools for edge computing have been proposed, they focus on a few qualities, such as time behavior and resource utilization. Most of the identified qualities are not considered and we suggest future directions for further investigation to provide appropriate support for IoT architects.
In rural areas with low demand, demand responsive transport (DRT) can provide an alternative to the regular public transport bus lines, which are expensive to operate in such conditions. With simulation, we explore the potential effects of introducing a DRT service that replaces existing bus lines in Lolland municipality in Denmark, assuming that the existing demand remains unchanged. We set up the DRT service in such a way that its service quality (in terms of waiting time and in-vehicle time)doi:10.3390/su14063252 fatcat:jo5fnm3ehna6xc2544v2qxsvqi
more »... is comparable to the replaced buses. The results show that a DRT service can be more cost efficient than regular buses and can produce significantly less CO2 emissions when the demand level is low. Additionally, we analyse the demand density at which regular buses become more cost efficient and explore how the target service quality of a DRT service can affect operational characteristics. Overall, we argue that DRT could be a more sustainable mode of public transport in low demand areas.
When planning interventions to limit the spread of Covid-, the current state of knowledge about the disease and specific characteristics of the population need to be considered. Simulations can facilitate policy making as they take prevailing circumstances into account. Moreover, they allow for the investigation of the potential e ects of di erent interventions using an artificial population. Agent-based Social Simulation (ABSS) is argued to be particularly useful as it can capture the behaviordoi:10.18564/jasss.4601 fatcat:zaqx2lwnn5g5bgcft25cqdtmce
more »... of and interactions between individuals. We performed a systematic literature review and identified articles that describe ABSS of Covid-transmission processes. Our review showed that ABSS is widely used for investigating the spread of Covid-. Existing models are very heterogeneous with respect to their purpose, the number of simulated individuals, and the modeled geographical region, as well as how they model transmission dynamics, disease states, human behavior, and interventions. To this end, a discrepancy can be identified between the needs of policy makers and what is implemented by the simulation models. This also includes how thoroughly the models consider and represent the real world, e.g. in terms of factors that a ect the transmission probability or how humans make decisions. Shortcomings were also identified in the transparency of the presented models, e.g. in terms of documentation or availability, as well as in their validation, which might limit their suitability for supporting decision-making processes. We discuss how these issues can be mitigated to further establish ABSS as a powerful tool for crisis management. interactions and decisions allows for a more in-depth analysis of the e ects that di erent interventions have on transmission processes. . Agent-based simulation is well-suited for investigating social phenomena, such as the spread of diseases among a population of autonomous individuals with heterogeneous characteristics and behavior (Gilbert ; Davidsson ). The related research area is o en referred to as Agent-based Social Simulation (ABSS). Similar to other approaches for fighting Covid-(e.g. Chen et al. and Nguyen et al. ), ABSS makes use of Artificial Intelligence to imitate human-like behavior and decision-making. This, for instance, allows for assessing di erent potential interventions in a cost-and time-e icient way. With regard to the Covid-pandemic, ABSS enables the consideration of di erent risk or age groups, individual progress of the disease, medical conditions, and compliance with interventions, but also the definition of personal contact networks such as households or workplaces, as well as daily routines. Thereby, ABSS can contribute to a better understanding of the pandemic and identifying suitable interventions for containing the spread of the virus (Squazzoni et al. ). Search Strategy and Selection Criteria . Since most research on simulating the spread of Covid-is not yet formally published, we decided to also search preprint repositories. We used the COVIDScholar.org search engine, which applies natural language processing to identify and to collect research papers related to Covid-from di erent relevant publishers, databases, and preprint repositories such as PubMed, arXiv, and medRxiv. The search string included the terms "simulation", "agent", and "transmission" . To complete the findings, we performed both iterative forward and backward snowballing to find additional relevant articles (Wohlin ). The review has been conducted according to the PRISMA guidelines (Liberati et al. ), and the flow diagram of the selection process is shown in Figure .
2020 IEEE International Conference on Edge Computing (EDGE)
For the efficient execution of Deep Neural Networks (DNN) in the Internet of Things, computation tasks can be distributed and deployed on edge nodes. In contrast to deploying all computation to the cloud, the use of Distributed DNN (DDNN) often results in a reduced amount of data that is sent through the network and thus might increase the overall performance of the system. However, finding an appropriate deployment scenario is often a complex task and requires considering several criteria. Indoi:10.1109/edge50951.2020.00017 fatcat:6afoxcjexrgzjlsotmpmqjorjq
more »... his paper, we introduce a multicriteria decision-making method based on the Analytical Hierarchy Process for the comparison and selection of deployment alternatives. We use the RECAP simulation framework to model and simulate DDNN deployments on different scales to provide a comprehensive assessment of deployments to system designers. In a case study, we apply the method to a smart city scenario where different distributions and deployments of a DNN are analyzed and compared.
During the COVID-19 crisis there have been many difficult decisions governments and other decision makers had to make. E.g. do we go for a total lock down or keep schools open? How many people and which people should be tested? Although there are many good models from e.g. epidemiologists on the spread of the virus under certain conditions, these models do not directly translate into the interventions that can be taken by government. Neither can these models contribute to understand thearXiv:2004.12809v1 fatcat:vs7goyis4zayxby34ebrcc7xsm
more »... and/or social consequences of the interventions. However, effective and sustainable solutions need to take into account this combination of factors. In this paper, we propose an agent-based social simulation tool, ASSOCC, that supports decision makers understand possible consequences of policy interventions, bu exploring the combined social, health and economic consequences of these interventions.
Minds and Machines
During the COVID-19 crisis there have been many difficult decisions governments and other decision makers had to make. E.g. do we go for a total lock down or keep schools open? How many people and which people should be tested? Although there are many good models from e.g. epidemiologists on the spread of the virus under certain conditions, these models do not directly translate into the interventions that can be taken by government. Neither can these models contribute to understand thedoi:10.1007/s11023-020-09527-6 pmid:32836870 pmcid:PMC7294191 fatcat:wsjjcllw2vdlve34mqlm7elice
more »... and/or social consequences of the interventions. However, effective and sustainable solutions need to take into account this combination of factors. In this paper, we propose an agent-based social simulation tool, ASSOCC, that supports decision makers understand possible consequences of policy interventions, but exploring the combined social, health and economic consequences of these interventions.
Social media like Facebook, Twitter, or Google+ have become predominant means of communication. However, their distributed structure and dynamic interaction processes make it difficult to analyze and understand that communication. Thus, we propose agent-based modeling and simulation of user behavior for analyzing communication dynamics in social media. We develop an agent decision-making method that models motivations of media users and their impact on behavior by means of social actor types.fatcat:crxvt6m22fbqxatfnmwgqr5jnm
more »... reover, we apply this model to Twitter communication accompanying a German television program. Our evaluation shows that different actor constellations within a population of agents drastically impact the dynamics of this communication.
Due to the omnipresence of information technology and the increasing popularity of online social networks (OSN), communication behavior has changed. While companies benefit from, i.e., viral marketing campaigns, they are challenged by negative phenomena, like Twitterstorms. Using existing empirical approaches and theories for analyzing the dynamics of social media communication processes and for predicting the success of a campaign is challenging as the circumstances and the access tofatcat:skzrk4ijxzckdjmiq3ea3tmizq
more »... ion processes have changed. Agent-based social simulation (ABSS) provides approaches to overcome existing restrictions, e.g., privacy settings, and to develop a framework for the dynamic analysis of communication processes, e.g., for evaluating or testing OSN marketing strategies. This requires both a valid simulation model and a set of real world data serving as input for the model. In this paper, a procedure model for the creation of a simulation model is developed and the steps are demonstrated by examples.
The omnipresence of information technology and the increasing popularity of online social networks (OSN) has led to a change in communication behavior. While companies benefit from this, i.e., through viral marketing campaigns, they are also challenged by negative phenomena, like Twitterstorms. However, existing empirical approaches and theories for analyzing the dynamics of social media communication processes and for predicting the success of a campaign have several shortcomings with respectfatcat:xpuzevtsejbxvafz3i4ri6q2qu
more »... o this change of communication. Agent-based social simulation (ABSS) provides approaches to overcome existing restrictions, e.g., privacy settings, and to develop a framework for the dynamic analysis of communication processes, e.g., for evaluating or testing OSN marketing strategies. This requires both a valid simulation model and a set of real world data serving as input for the model. In this paper, a systematic procedure for preparing and implementing such a model is developed. The paper describes an integrated process for collecting and analyzing the required data. In addition, it outlines the components of agent-based models for simulating OSN communication processes and demonstrates the necessary steps by examples.
Mass. has announced several additions to its technical staff: Russell J Bowen, Robert W Fabian, William V Keary. Benjamin A Lambert. ... Battelle Memorial Institute has made six veteran members of the staff assistant directors: Dr Frank C Croxton, Dr Clar- ence H Lorig, Dr Howard W Russell, | Ralph A Sherman, Clarence E Sims and POWER @ ...
., 7363 Caltagirone, Carlo, 6909 Calvo, Ernesto, 7286 Camacho, Fabian T., 8207 Camacho-Cuena, Eva, 7484 Camarini, Rosana, 6829 Cameron, Helen L., 7213 Cameron, Judy, 6614 Cameron, Samuel, 7753 Campanella ... -N., 8181 Chant, David, 7639 Chao, Ruth K., 7279 Chapman, Alexander L., 7757 Chapman, Colin A., 6722 Chapman, Gretchen B., 8488 Chariker, Julia H., 6542 Charkoudian, Lorig, 9310 Charles-Luce, Jan, 6487 ...
This is consistent with observations that jasmonic acid has a negative effect on G1/S and G2/M transitions (Świątek et al., 2002) and that GAs stimulate cell division (Fabian et al., 2000) . ... Phase 4 sees the initiation of endosperm cellularization and reduced rates of mitosis (Scott et al., 1998; Boisnard-Lorig et al., 2001; Ingouff et al., 2005) . ...doi:10.1104/pp.108.128108 pmid:18923020 pmcid:PMC2593665 fatcat:x2rnpqkbljauzfutz5dhdyhuqi
. , ‘ b Karina Kielmann“* and Fabian Cataldo London School of Hygiene and Tropical Medicine, Health Policy Unit, Keppel St., London WCI1E 7HT, UK; ° International HIV/AIDS Alliance, Evidence for Action ... about how patients engage with biomedical 2006) - at — knowledge and providers but also a new framing of their duties as citizens towards the health system and the health of the public (Bodenheimer, Lorig ...
The help of Fabian Tricarico and Angel Fusaro of the Scrvicio de Microscopia Electronica de Darrido of t h e MACN is also acknowledged. ... Periantti (when sterile: sessile, cup shaped) 3.0 nini lorig, stipitate aL cylindric base, above inilatcd, distally con~presscd, mo~iah openirig to 1.4 mrn wide, the border dentate wii.h trian- dorsal ...doi:10.22179/revmacn.6.82 fatcat:je7r67rykvcjzbldn3m4c3ebg4
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