Research on Scheduling Models of Emergency Resource

Zhou, Guangliang; Lian, She

doi:10.1109/icicta.2011.279

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…Another study in [56], [57] centered around configuring and scheduling emergency resources during fire catastrophes. They developed a dynamic model to analyze and address this critical aspect.…”

Section: Previous Workmentioning

confidence: 99%

The scheduling techniques in the Hadoop and Spark of smart cities environment: a systematic review

Mirza,

Ali,

Ishak

2024

Bulletin EEI

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Processing extensive and diverse data in real-time is a significant challenge in the context of smart cities. Timely access to information and efficient analytics is essential for smart city services to make data-driven decisions and enhance urban living. Scheduling algorithms play a crucial role in ensuring the prompt delivery of services and efficient task completion. This paper explores various scheduling techniques, including static, dynamic, and hybrid schedulers, and compares their objectives and performance. Additionally, the study examines two prominent data processing frameworks, Hadoop and Spark, and compares their capabilities in handling big data in smart cities. With its ability to process large amounts of data quickly and efficiently, Spark has shown superiority over Hadoop in real-time data processing and performance optimization. The paper concludes by highlighting the strengths and limitations of each framework. It discusses the need for further research in optimizing scheduling techniques and exploring hybrid artificial intelligence scheduling for Spark. Overall, the findings contribute to a better understanding of data processing in real-time and provide insights for researchers and practitioners in smart cities.

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Section: Previous Workmentioning

confidence: 99%

The scheduling techniques in the Hadoop and Spark of smart cities environment: a systematic review

Mirza,

Ali,

Ishak

2024

Bulletin EEI

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“…Lee et al [16] consider disaster prevention resources to encompass human resources, materials, equipment, and facilities mobilized during disasters. In China, Zhou and She [17] describe emergency resources as a broad spectrum of essential supplies, relief equipment, and basic necessities for emergency rescue operations. Qin et al [18] differentiate emergency resources into response and recovery categories, based on their use in different stages of emergency management.…”

Section: Disaster and Emergency Management Resources (Demrs)mentioning

confidence: 99%

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process (AHP)

Zhang,

Lee

2024

Preprint

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This study aims to assess the operational capabilities of disaster and emergency management re-sources (DEMRs), which are pivotal in mitigating risks and minimizing losses amid the increas-ing frequency of disasters. The research constructs an effective operational capability evaluation system for DEMRs, encompassing four key aspects: resource planning, organizational manage-ment capability, resource support capability, and information processing capability. It focuses on identifying the factors that influence the effective operational capability of DEMRs in China and Korea, comparing and analyzing the relative importance and priority of each evaluation domain and indicator within these countries to enhance DEMRs' operational effectiveness. The method-ology involves calculating and ranking the weight of the four domains, with findings indicating that organizational management capability is most significant in China, whereas resource sup-port capability is prioritized in Korea. A comparative analysis of the local weight of indicators within each domain revealed the largest discrepancy between China and Korea in the infor-mation processing capability domain. The study concludes by calculating global weights, identi-fying fast response capability and resource allocation capability as the most impactful factors on DEMRs' operational capability, highlighting their critical role in disaster and emergency man-agement.

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Section: Disaster and Emergency Management Resources (Demrs)mentioning

confidence: 99%

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process

Zhang,

Lee

2024

Sustainability

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This study aims to assess the operational capability of disaster and emergency management resources (DEMRs), which is not only critical for effective loss reduction and resilience, but also facilitates the sharing and optimal use of resources for the more effective achievement of sustainable development. This study constructs an evaluation index system of the operational capability of DEMRs, encompassing four key aspects: resource planning, organizational management capability, resource support capability, and information processing capability. It focuses on identifying the factors that influence the operational capability of DEMRs in China and Korea, comparing and analyzing the relative importance and priority of each evaluation domain and indicator within these countries. The results show that the organizational management capability is most significant in China, whereas the resource support capability is prioritized in Korea. A comparative analysis of the local weight of indicators within each domain revealed the largest discrepancy between China and Korea in the information processing capability domain. This study concludes by calculating global weights, identifying the fast response capability and resource allocation capability as the most impactful factors on the operational capability of DEMRs, and highlighting their critical role in disaster and emergency management.

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Research on Scheduling Models of Emergency Resource

Cited by 6 publications

References 1 publication

The scheduling techniques in the Hadoop and Spark of smart cities environment: a systematic review

The scheduling techniques in the Hadoop and Spark of smart cities environment: a systematic review

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process (AHP)

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process

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