PPS-ADS: A Framework for Privacy-Preserved and Secured Distributed System Architecture for Handling Big Data

Ahad, Mohd Abdul; Biswas, Ranjit

doi:10.18517/ijaseit.8.4.5465

Cited by 7 publications

(3 citation statements)

References 31 publications

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“…For example, Hadoop does not differentiate between the types of files and process them in the same manner irrespective of their type. This can cause severe performance issue for certain types of files which are much smaller in size as compared to Hadoop block size [3,32,40,41].…”

Section: Challenges With Big Data Analyticsmentioning

confidence: 99%

Big Data and Modern-Day Technologies in COVID-19 Pandemic: Opportunities, Challenges, and Future Avenues

Ahad

Paiva

Tripathi

et al. 2021

Studies in Systems, Decision and Control

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The COVID-19 pandemic has emerged as one of the most crucial health emergencies in the last decade where almost all entities of a nation's ecosystem like inhabitants, businesses, governments, economies, and environment are impacted. The large volumes of epidemiological, clinical, personal, and environmental data generated during any pandemic can provide useful insights about the underlying causes, symptoms, relations, and correlations, which if analyzed can assist in mitigating the impact to a great extent. The cheap and easy connectivity and communication provided by the social media platforms (SMP) have established them as one of the most preferred mediums of communications among the masses. The data generated by these platforms can be analyzed in context of the ongoing COVID-19 crisis to provide critical information and insights related to the ground level realities like spread and severity of infection, the state of implementation of control measures, the mental state of individuals, and their needs. The tweets and comments of the users can provide information about the current situation and intensity of the problems in the affected regions. With the help of techniques like sentiment analysis and web mining, we can identify the emergent requirements and needs (like food, shelter, medicine, medical emergencies, security, etc.) of the population in the COVID-19-affected areas. With this chapter we aim to identify several use cases where the big medical data from the patients, epidemiological data, social media data, and environment-related data can be used to identify patterns, causes, and other growing factors of the COVID-19 pandemic with a goal to mitigate the damages and contain further spread of the disease. The chapter also discusses the impact of a preferred mitigation measure of nationwide lockdown on the number of new

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Section: Challenges With Big Data Analyticsmentioning

confidence: 99%

Big Data and Modern-Day Technologies in COVID-19 Pandemic: Opportunities, Challenges, and Future Avenues

Ahad

Paiva

Tripathi

et al. 2021

Studies in Systems, Decision and Control

Self Cite

View full text Add to dashboard Cite

show abstract

“…The user does not need to know which application node the task is executed on and which database node the data is saved in. The distributed architecture is adopted and the original working mode of the user will not be changed [14][15]. Distributed systems are gradually applied to more and more different types of applications, such as the following system applications.…”

Section: Distributed Systemmentioning

confidence: 99%

Fault Handling Method of Distributed System Based on Large Scale Dynamic Programming

2020

DPS

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with the rapid improvement of Internet and information construction in all walks of life, the traditional centralized storage system is gradually replaced by the distributed storage system. Fault processing method based on distributed system is a research hotspot in the field of power system fault identification. The purpose of this paper is to integrate large-scale dynamic programming with distributed system fault handling methods. Through the research of large-scale dynamic programming and its algorithm and distributed system, the relevant fault handling methods are proposed. In the experiment, we construct the system execution flow and use the dynamic planning algorithm to study and analyze the usability and universality of the distributed system dynamic planning application.

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“…Also, the PC is responsible to take necessary actions (isolate a link, delete a link) in case a link becomes inactive or is corrupted. Since the arrangement of all the nodes in the proposed system is in the form of multi-horse cart topology [7], [18][19] the complete information of the links and nodes lies in the metadata of PC.…”

Section: Working Of the Proposed Cloud Algebra Based Modelmentioning

confidence: 99%

Cloud Algebra: An Innovative Approach for Managing Resources, Services and Big Data on Clouds

Ahad¹,

Tripathi²,

Paiva³

2018

EAI Endorsed Transactions on Energy Web

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In the current era of technological advancements, cloud computing is considered as one of the most promising computing paradigms. It is cost-effective, energy efficient, scalable and is location independent. In simple terms, a cloud computing technology provides various computing tools, facilities and mechanisms as a service to the end user. A user can opt for using these services as a pay-per-use model. This technology is indeed highly cost-effective, environment friendly and is a preferred option for those who don't want to spend much on infrastructures, platforms or physical space required for setting up the enterprise. Cloud computing technology provides services like Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), Computing-as-a-Service (CaaS) etc. Recently a new service called DaaS (Data-as-a-Service) has also emerged in which data is provided as a service to the users. This paper proposes a concept of creating algebra for the cloud computing environment called as cloud algebra (CA). Using the proposed cloud algebra we can perform several basic mathematical functions like addition, deletion, union, intersection and other aggregate functions on clouds directly. This means that using the proposed cloud algebra, two or more clouds can be added. One cloud may be joined with other clouds and two or more clouds can be compared and so on. Furthermore, the data stored on the clouds can also be effectively and efficiently managed using the proposed cloud algebra. Along with the data, the cloud services and resources can also be managed in a much effective and efficient manner using the proposed cloud algebra.

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PPS-ADS: A Framework for Privacy-Preserved and Secured Distributed System Architecture for Handling Big Data

Cited by 7 publications

References 31 publications

Big Data and Modern-Day Technologies in COVID-19 Pandemic: Opportunities, Challenges, and Future Avenues

Big Data and Modern-Day Technologies in COVID-19 Pandemic: Opportunities, Challenges, and Future Avenues

Fault Handling Method of Distributed System Based on Large Scale Dynamic Programming

Cloud Algebra: An Innovative Approach for Managing Resources, Services and Big Data on Clouds

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