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“Cloud Compu*ng for Public Safety Applica*ons and Communica*ons”
Clinical Need:• When working with critical-care patients, doctors and
nurses face many co-ordination challenges • Augmented reality based technologies can
help to stay updated on the status of patients and care levels
• Need is even more critical in natural disaster scenarios
• Large volume of patients with varying states of injuries
• Effective co-ordination of limited medical staff and supplies
• Communication infrastructure may have been destroyed
Figure 1: Mercy Hospital in Joplin MO, After tornado impact in 2011
Figure 2: Incident Scene needing Situational Awareness
Try our live demo online at www.PanaceasCloud.comEmail us at info@panaceascloud.com
Solution:• Provides an “infrastructure-independent” way for
incident commanders to communicate with first responders in an incident or natural disaster
• Easy-to-use interactive interface • Incident management • Patients status tracking • Supplies replenishment • Responder co-ordination
• Incident Command System (ICS) applications with integration of Internet of Things (IoT)
• Replaces cumbersome paper tags for triage
Contributors: John Gillis, Prasad Calyam,Olivia Apperson, Salman Ahmad, Rui Huang, and Duo Jiang
Supported by: Wallace H. Coulter Foundation and University of Missouri
Augmented Reality for Mass Casualty Disaster Triage and Co-ordination
Commercialization Pathway:• $8.3bn industry (according to IBIS World Report, 2014)
• 31.8% or $2.6bn in disaster relief and emergency services • Interest in entrepreneur space
• Wearable Technology & Augmented Reality Apps
Prasad Calyam, Ph.D. Assistant Professor, Department of Computer Science
October 24th 2016
Sponsors: Coulter Founda1on, Na1onal Science Founda1on
Impact of a Tornado Joplin Tornado (May 22, 2011)
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The Problem 70% of first responders admit that handheld radio communica<on is the most frequently used technology during a mass casualty incident
Our Solu<on Overview • Panacea’s Cloud improves situa<onal awareness and integra<on of medical triage services – Operates in an infrastructure independent manner – Augmented Reality for “live” mul<ple incident triage
• Overcomes limita<ons with using hand-‐held radio, paper tags
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Network Edge Compu<ng to support the “Internet of Things”
• Logical layers of a Visual Cloud Compu<ng (VCC) suppor<ng infrastructure showing the rela<onships between end-‐user things, fog computa<on, and core cloud
Project Description - 4
such as web browsers with interfaces to explore the outputs, or application client software that downloads the data for local exploration, or appliances that use protocols such as VNC, RDP or PCoIP [49] to access virtual desktops with the exploration software. The consumption fogs could also host caching services to bring the processed data closer to the user thin-clients and reduce the need to have round-trip requests to the cloud. It is possible that the consumption phase involving an expert analyst may result in active use of the caching services that leads to repost of data to the Fog Computation Layer for further processing as part of deep exploration activities.
Figure 2. Logical layers of a VCC supporting infrastructure showing the relationships between end-user things, fog computation, and core cloud. The management layer controls where resources are
provisioned and how data flows are routed with SDN between fogs and the core cloud.
In the Fog Computation Layer, one service manages the small instance processing in conjunction with directives from the Unified Resource Broker (URB) in the Cloud/Fog Management Layer, and another service acts as the gateway to move data from the fog to the Cloud Computation Layer via a high-performance network overlay setup with SDN. The Cloud Computation Layer leverages open/proprietary software-defined infrastructure controller technologies (e.g., VMware Horizon [11], OpenStack [12] and OpenDaylight [13]) to manage the virtualized computer and network resources in the cloud/fog infrastructure. At the Cloud/Fog Management Layer, the scalable computing services, software-defined monitoring services (enabled e.g., by Narada Metrics [15], perfSONAR [16]) as well as the URB resource allocation algorithms orchestrate the computation placement either in the fog or in the core cloud. Thus, the Cloud/Fog Management Layer transforms the core cloud and fogs into a ‘hierarchical cloud infrastructure’. It allows the management services in the public clouds to seamlessly operate close to the user collection/consumption sites for end-to-end orchestration and dynamic control of data processing locations. In addition, URB serving as the “brain of the cloud/fog infrastructure” can be enhanced with novel resource allocation algorithms to efficiently and effectively manage the dynamic distribution of the computer vision application processing workload to meet the first responders QoE requirements for visual situational awareness and processing response time.
2.2 Proposed Approach to Build the Enhanced Institutional Cloud/Fog Infrastructure Existing Science DMZ Infrastructure at MU (Supported by NSF Award #OCI-1245795): MU is one of the few U.S. research university campuses that for several years has had a separate research network “Rnet” in addition to the traditional campus enterprise network. Rnet has an autonomous set of virtual LANs (local area networks) that co-reside within the IP (Internet
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Research Results – MO Task Force 1 Killer Experiment
• Created a real-‐<me geotracking service for contextual incident markers in a search and rescue training simula<on – 3.6X faster data entry <me per incident than the Garmin System
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Testbed Experiences Summary
• Handling scope expansion -‐ Architecture – Different researcher requirements for cloud infrastructure – Limita<ons in ‘Things’ (e.g., wearables, virtual beacons)
• SoSware Sustainability – Separate code bases for different experiment trials – 10 + students contribu<ons
• Simula<on ßà Real-‐world Experimenta<on – Scale, Realism, User engagement, Security
• Mul<ple stakeholder collabora<on – City managers, Public safety professionals, SoZware developers, Hardware vendors, Campus IT, …
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