Simulation Processes in the Cloud for Emergency Planning

Ribault, Judicaël; Wainer, Gabriel

doi:10.1109/ccgrid.2012.88

Cited by 8 publications

(7 citation statements)

References 27 publications

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“…With today's age of advancements in smart phone technology, it is more efficient to utilize the technology for emergency management. Mobile cloud computing adds more capabilities to create sophisticated services [1][2][3], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

E-HAMC: Leveraging Fog computing for emergency alert service

Aazam

Huh

2015

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

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Timeliness is one the most important factors in emergency management. Emergency notification mechanism has to be hassle free and quick, in order to have efficient response for any disaster, health-fix, act of terrorism, etc. In this paper, we present service architecture for emergency alert, using Fog computing. Fog computing brings cloud resources close to the underlying devices and IoTs, which makes it ideal for latency sensitive services. Furthermore, Fog is used for offloading resource constrained devices. Our smart phone based service, known as Emergency Help Alert Mobile Cloud (E-HAMC) provides a quick way of notifying the relevant emergency dealing department, utilizing the services of Fog for offloading as well as pre-processing purposes. The service sends the location of incident and contacts the appropriate emergency dealing department automatically through already stored contact numbers. The emergency related information is then synchronized automatically from Fog to the Cloud, allowing further analysis and improvement in safety of the people and creates extended portfolio of services for the concerned authorities as well as the users. Performance in most certain scenarios is also evaluated and presented in this study, which shows the applicability of our system and its future prospects.

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Section: Introductionmentioning

confidence: 99%

E-HAMC: Leveraging Fog computing for emergency alert service

Aazam

Huh

2015

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

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“…Although this experiment was successful, the development required a considerable implementation effort (approximately 2160 person/hours), mostly due to the utilization of a SOA-based solution. Instead, we have had success with a new RESTful Web Services interface, called RISE (Restful Interoperability Simulation Environment), which can solve these issues by imitating the Web interoperability style (Ribault and Wainer 2012;Al Zoubi 2011 Al Zoubi and). The Representational State Transfer style can help solving the interoperability limitations, and it makes easy the development of mashups, which can be developed in a shorter period of time (for instance, the last clients we developed, which will be adapted for this research project took only 375 person/hours for the same simulation environment discussed above).…”

Section: Ubiquitous Simulation In the Cloud: Simulation Everywherementioning

confidence: 99%

“…These players need to transform data into hypothesis building and critical decision-making, and to change their models in response to new hypotheses, usually involving multiple highly specialized experts working together in geographically distant areas. The Grid and Cloud computing paradigms introduced new ways of sharing computing power and storage in heterogeneous environments (Vanmechelen et al 2012;Page et al 2012;Ribault and Wainer 2012). Resources are virtualized as services consumed on demand (with minimal limitation for resource location).…”

Section: Ubiquitous Simulation In the Cloud: Simulation Everywherementioning

confidence: 99%

Panel on grand challenges for modeling and simulation

Taylor¹,

Fujimoto²,

Page³

et al. 2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

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It has been a decade since the Workshop on Grand Challenge for Modeling & Simulation (M&S) was held at Dagstuhl in Germany (www.dagstuhl.de/02351). Grand challenges provide a critical focal point for research and development and can potentially create the critical mass needed to bring substantial transformation and benefit to a community. The Workshop addressed a wide variety of M&S theoretical, methodological and technological issues across many application areas. This Panel reflects on progress made since the Workshop, new Grand Challenges that have emerged over the past ten years and key M&S milestones for the next decade.

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“…With the increasing number of such situations, in today's age of smart phones, it has become necessary to have a solution for quick and easy way of alerting the right people for help and inform family members in an efficient and easy way. With the advent of cloud computing, mobile cloud computing, and smart phones, it has become very important to use these paradigms for such purpose more effectively [1], [2], [3], [5], and [6].…”

mentioning

confidence: 99%

M2M Emergency Help Alert Mobile Cloud Architecture

Aazam

Hung

Huh

2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops

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Emergency situations are unfortunately part of our lives. Today's smart computing allow us handle such situations and fulfill our requirements more efficiently and effectively. This paper presents architecture to handle various kinds of emergency situations more efficiently and effectively, by allowing the user (victim or witness) easy and quick way to alert the concerned department(s) with just a single button press. The service automatically sends the location of incident and contacts the appropriate emergency dealing department automatically through already stored contact numbers. The emergency related information is then synchronized automatically to the mobile cloud, allowing further analysis and improvement in safety of people and creates further services for the concerned authorities and users. Performance in most certain scenarios is also evaluated and presented in this study.

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Simulation Processes in the Cloud for Emergency Planning

Cited by 8 publications

References 27 publications

E-HAMC: Leveraging Fog computing for emergency alert service

E-HAMC: Leveraging Fog computing for emergency alert service

Panel on grand challenges for modeling and simulation

M2M Emergency Help Alert Mobile Cloud Architecture

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