Healthcare big data processing mechanisms: The role of cloud computing

Rajabion, Lila; Shaltooki, Abdusalam Abdulla; Taghikhah, Masoud; Ghasemi, Amirhossein; Badfar, Arshad

doi:10.1016/j.ijinfomgt.2019.05.017

Cited by 107 publications

(51 citation statements)

References 116 publications

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“…Cloud computing combines many computing resources to achieve fast and efficient computing and storing of the data. 43 There are many kinds of laboratory equipment in the university, especially for chemical-related laboratory, which contains various experimental instruments and chemical agents. Besides, most of the experimenters are students, with a large number and good mobility.…”

Section: Big Data and Cloud Computing Are Indispensable To The Realizmentioning

confidence: 99%

An explosion accident analysis of the laboratory in university

Chen

Yaqin

Wang

et al. 2020

Process Safety Progress

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Academic research in the laboratory is often considered as the work with lower risks compared with other process industries. Whereas, it is revealed that there are still many accidents happening in the laboratory, causing deaths, injuries, and economic losses. In order to identify the main causes and improve the safety management, an explosion accident in a laboratory of a university is thoroughly investigated based on the 24Model and 5Whys method. The results indicate that inadequate safety knowledge and insufficient safety awareness of the experimenters serve as main contributors of the accident. In order to effectively prevent such accidents, it is necessary to strengthen the safety training of the experimenters and associated technical managers, so as to create a good safety culture atmosphere in the university. Moreover, a smart safety management system based on internet of things (IoT) is established for the laboratory, which contains equipment management subsystem, experiment consumables management subsystem, personnel management, training and assessment subsystem, environmental monitoring subsystem, and accident diagnosis subsystem. With the help of the system, daily safety of the laboratory can be greatly improved.

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Section: Big Data and Cloud Computing Are Indispensable To The Realizmentioning

confidence: 99%

An explosion accident analysis of the laboratory in university

Chen

Yaqin

Wang

et al. 2020

Process Safety Progress

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“…In this section, we assume that the number of concrete services matching to each abstract service are the same, so when there are m abstract services, the number of trials is n m . For instance, if we have a request of a complex task with m = 5 and service tags are n = 3, the total trials are as follows: [ [1,1,2,1,2], and etc. For the initialization section, set of solutions are generated randomly.…”

Section: Solution Representationmentioning

confidence: 99%

“…Recently, the significance of inexpensive access to dependable high-performance hardware and software resources as well as evading upkeep costs have encouraged big stakeholders of information technology companies and institution managers to journey to cloud computing. 1,2 Cloud computing is being altered to a model containing services that are delivered in a way similar to old-style utilities such as electricity, water, gas, and telephone. 3,4 Cloud computing represents both the applications offered as services over the Internet and the hardware and systems software in the data centers.…”

Section: Introductionmentioning

confidence: 99%

A cloud service composition method using a trust‐based clustering algorithm and honeybee mating optimization algorithm

Zanbouri

Navimipour

2019

Int J Communication

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Summary One of the most critical issues in using service‐oriented technologies is the combination of services, which has become an important challenge in the present. There are some significant challenges in the service composition, most notable is the quality of service (QoS), which is more challenging due to changing circumstances in dynamic service environments. Also, trust value in the case of selection of more reliable services is another challenge in the service composition. Due to NP‐hard complexity of service composition, many metaheuristic algorithms have been used so far. Therefore, in this paper, the honeybee mating optimization algorithm as one of the powerful metaheuristic algorithms is used for achieving the desired goals. To improve the QoS, inspirations from the mating stages of the honeybee, the interactions between honeybees and queen bee mating and the selection of the new queen from the relevant optimization algorithm have been used. To address the trust challenge, a trust‐based clustering algorithm has also been used. The simulation results using C# language have shown that the proposed method in small scale problem acts better than particle swarm optimization algorithm, genetic algorithm, and discrete gbest‐guided artificial bee colony algorithm. With the clustering and reduction of the search space, the response time is improved; also, more trusted services are selected. The results of the simulation on a large‐scale problem have indicated that the proposed method is exhibited worse performance than the average results of previous works in computation time.

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“…16,17 The CC is an Internet-oriented method offering heterogeneity, trustworthiness, place independence, openness, execution agility, broad network access, flexibility, voluntariness, ambiguity, scalability, dynamicity, quick amenities compliance, less money spending, delivery, and resource pooling for an array of usages. 18,19 The cloud services are divided into three main types, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). 20,21 While the current cloud structure performs appropriately, it is not useful in inactivity-sensitive uses as the cloud databases are not connected to objects and the consumers of value-added services.…”

Section: Introductionmentioning

confidence: 99%

“…The CC is a rather novel notion of introducing on‐request ascendable and virtualized resources, software, and hardware to users . The CC is an Internet‐oriented method offering heterogeneity, trustworthiness, place independence, openness, execution agility, broad network access, flexibility, voluntariness, ambiguity, scalability, dynamicity, quick amenities compliance, less money spending, delivery, and resource pooling for an array of usages . The cloud services are divided into three main types, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) .…”

Section: Introductionmentioning

confidence: 99%

A comprehensive study on managing strategies in the fog environments

Wang

Panpan

Batiha

2019

Trans Emerging Tel Tech

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Although cloud computing application is rising, some unanswered problems still exist because of its inner issues like untrustworthy inactivity, the absence of movement backing, and place awareness. Therefore, fog computing has appeared as a hopeful infrastructure to supply flexible resources at the edge of the network. Fog supplies processing, data, storing, and application amenities to ultimate operators. The management strategies have a great impact on fog computing, such as monitoring and optimizing, the correlated components for improving the performance, availability, security, and any fundamental operational requirement. However, as far as we know, no organized study exists about analyzing their importance in fog environments. This paper provides a detailed survey for covering the current state‐of‐the‐art in fog management. This paper classifies the management strategies into three main categories: data management, energy, and resource. We also presented a few prospects and problems like the suggestions for the upcoming studies in the associated methods requiring to be investigated in fog computing. Moreover, a new paradigm has been ensured by increasing fog functionality and resource consumption. In general, fog management strategies in computing environments still need improvements in the variety of its setting to convert to an on‐request method, decrease the associated overhead, and improve the performance. Therefore, proper management can maintain the least resource consumption, which will finish the extra decrease in energy usage. Therefore, we contribute to provide strong suggestions for future fog computing studies. This paper can handle the pace of publications and propose the outcomes of study and practice as an upcoming route for decision makers in healthcare. In principle, the increase of researchers, scientists and managers' awareness level would increase the managers' good and knowingly behavioral conduct on managing fog environments.

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Healthcare big data processing mechanisms: The role of cloud computing

Cited by 107 publications

References 116 publications

An explosion accident analysis of the laboratory in university

An explosion accident analysis of the laboratory in university

A cloud service composition method using a trust‐based clustering algorithm and honeybee mating optimization algorithm

A comprehensive study on managing strategies in the fog environments

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