Disaster Recovery for Cloud-Hosted Enterprise Applications

Wang, Long; Harper, Richard E.; Mahindru, Ruchi; Ramasamy, HariGovind V.

doi:10.1109/cloud.2016.0064

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…Several studies have discussed disaster recovery using cloud computing [3][4][5] in the business context and for enterprises such as storage recovery [3]. The authors in [4,5] discussed business continuity requirements, such as sudden service disruption, that directly impact business objectives and cause significant losses. In contrast, many works have been presented for cloud gaming systems [6][7][8][9].…”

Section: Related Workmentioning

confidence: 99%

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A Cloud Based Disaster Management System

Cheikhrouhou

Koubâa

Zarrad

2020

JSAN

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The combination of wireless sensor networks (WSNs) and 3D virtual environments opens a new paradigm for their use in natural disaster management applications. It is important to have a realistic virtual environment based on datasets received from WSNs to prepare a backup rescue scenario with an acceptable response time. This paper describes a complete cloud-based system that collects data from wireless sensor nodes deployed in real environments and then builds a 3D environment in near real-time to reflect the incident detected by sensors (fire, gas leaking, etc.). The system’s purpose is to be used as a training environment for a rescue team to develop various rescue plans before they are applied in real emergency situations. The proposed cloud architecture combines 3D data streaming and sensor data collection to build an efficient network infrastructure that meets the strict network latency requirements for 3D mobile disaster applications. As compared to other existing systems, the proposed system is truly complete. First, it collects data from sensor nodes and then transfers it using an enhanced Routing Protocol for Low-Power and Lossy Networks (RLP). A 3D modular visualizer with a dynamic game engine was also developed in the cloud for near-real time 3D rendering. This is an advantage for highly-complex rendering algorithms and less powerful devices. An Extensible Markup Language (XML) atomic action concept was used to inject 3D scene modifications into the game engine without stopping or restarting the engine. Finally, a multi-objective multiple traveling salesman problem (AHP-MTSP) algorithm is proposed to generate an efficient rescue plan by assigning robots and multiple unmanned aerial vehicles to disaster target locations, while minimizing a set of predefined objectives that depend on the situation. The results demonstrate that immediate feedback obtained from the reconstructed 3D environment can help to investigate what–if scenarios, allowing for the preparation of effective rescue plans with an appropriate management effort.

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Section: Related Workmentioning

confidence: 99%

“…Equations 3and (4) guarantee that each robot visits each node only once. Equations (5) and (6) ensure that each robot begins and returns to its specific depot. Finally, restrictions brought about by Equation 7show that the decision variables are twofold.…”

Section: Optimized Rescue Plan Developmentmentioning

confidence: 99%

A Cloud Based Disaster Management System

Cheikhrouhou

Koubâa

Zarrad

2020

JSAN

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“…The departmental managers then instruct employees on their specific course of action and report to the Recovery Team the status of employees' notification. Key clients, both internal and external, are also notified through the notification manager who has the list of clients and their e-mail addresses (Wang et al, 2016). Key Vendors or suppliers are notified depending on the severity of the disaster through designated personnel by the IT Asset Recovery Team.…”

Section: Step 4: Disaster/disruption Notification and It Asset Recoverymentioning

confidence: 99%

“…Once the asset has been restored to business as usual operation and lesson learned from the incidence evaluation, there is the closure of the specific disaster. 681 disaster recovery, organizations can start without significant investment in a secondary site, software, or hardware and are provided with the specialized knowledge needed (Wang et al, 2016). Cloud-based solution for disaster recovery allows non-disruptive and frequent testing of IT disaster recovery effort; thus, it is reliable.…”

Section: Step 4: Disaster/disruption Notification and It Asset Recoverymentioning

confidence: 99%

“…Minimizing business disruption and negative impact on business the best plan is executed. The implementation plan of Data Recovery involves various steps and stages that are outlined in this study (Wang et al, 2016). Several services are required to complete the restoration operations, the assumptions of Database and the procedures are also spelt out in the study.…”

Section: Conclusion:-mentioning

confidence: 99%

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