A heterogeneous mobile cloud computing model for hybrid clouds

Monsalve, S. Alonso; Garcı́a-Carballeira, Félix; Calderón, Alejandro

doi:10.1016/j.future.2018.04.005

Cited by 32 publications

(15 citation statements)

References 47 publications

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“…Paper Year Research Result [9] 2015 Secure and resolve data security problem on cloud computing by AES [20] 2019 Secure data and reduce traffic time by AES encryption [21] 2018 Heterogeneous model on cloud computing is able to give data security contribution [22] 2019 Big volumes of private data are collected and need to be secured in cloud [23] 2019 Security modeling on cloud computing to prevent data theft [24] 2019 Symmetric encryption scheme is implemented in client before data is uploaded to cloud computing [25] 2017 Usages of authentication and cryptographic for future security on cloud computing operating system [26] 2015 Data security problem in distributed data system proposing SHA-1 algorithm to secure data…”

Section: Previous Studies Of Aes Encryption On Cloud Computingmentioning

confidence: 99%

A Systematic Literature Review Method On AES Algorithm for Data Sharing Encryption On Cloud Computing

Hidayat

Mahardiko

2020

Int. J. Artif. Intell. Res

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Cloud computing is one revolution in information technology (IT) that can share resources, services and data through a network among users. Because users have same rights on the network to transfer data, data are vulnerable to be attacked by unauthorized person. Lately, data security in a system only concentrates on data storage on cloud by utilizing internet security, but a little concentration is found during data transfer. By considering security as a serious problem, an encryption-based proposed system is presented to secure during data transfer. Authors propose an approach to boost system security during data transfer in order to prevent data theft by unauthorized person. To prevent an attack by unauthorized person, Advanced Encryption Standard (AES) will be proposed to secure data transfer and storage in cloud computing. For better future, authors will propose Systematic Literature Review (SLR) to generate suggestions and opportunities in AES cloud computing.

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Section: Previous Studies Of Aes Encryption On Cloud Computingmentioning

confidence: 99%

A Systematic Literature Review Method On AES Algorithm for Data Sharing Encryption On Cloud Computing

Hidayat

Mahardiko

2020

Int. J. Artif. Intell. Res

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“…This can have an enormous consequence on the business and potentially human lives as well. Orga-nizations use cloud services to avoid huge investments [12], like creating and maintaining their own DCs. They consume resources created by cloud providers [13] and pay for usage time -the "pay as you go", model.…”

Section: Introductionmentioning

confidence: 99%

Towards Edge Computing as a Service: Dynamic Formation of the Micro Data-Centers

et al. 2021

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Edge computing brings cloud services closer to the edge of the network, where data originates, and dramatically reduces the network latency of the cloud. It is a bridge linking clouds and users making the foundation for novel interconnected applications. However, edge computing still faces many challenges like remote configuration, well-defined native applications model, and limited node capacity. It lacks geo-organization and a clear separation of concerns. As such edge computing is hard to be offered as a service for future real-time user-centric applications. This paper presents the dynamic organization of geodistributed edge nodes into micro data-centers to cover any arbitrary area and expand capacity, availability, and reliability. A cloud organization is used as an influence with adaptations for a different environment, and a model for edge applications utilizing these adaptations is presented. It is argued that the presented model can be integrated into existing solutions or used as a base for the development of future systems. Furthermore, a clear separation of concerns is given for the proposed model. With the separation of concerns setup, edge-native applications model, and a unified node organization, we are moving towards the idea of edge computing as a service, like any other utility in cloud computing.INDEX TERMS cloud computing, distributed systems, edge computing, formal specifications, infrastructure as software, platform

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“…Process mining‐controlled scheduling is an option worth pursuing when executing data‐intensive applications in the hybrid cloud to comply with some given business constraints and meeting given QoS related deadlines. Related works in scheduling and cloud resource provisioning employ techniques such as load‐awareness, 14 parallelism‐awareness, 15 structure‐awareness 16 to aid in task scheduling, and middle‐ware tooling 17,18 . Data‐awareness (sensitivity) but not process‐awareness is considered in Oktay et al 6 From our best literature search efforts, no work specifically combines data sensitivity and process‐awareness in task scheduling.…”

Section: Introductionmentioning

confidence: 99%

“…Related works in scheduling and cloud resource provisioning employ techniques such as load-awareness, 14 parallelism-awareness, 15 structure-awareness 16 to aid in task scheduling, and middle-ware tooling. 17,18 Data-awareness (sensitivity) but not process-awareness is considered in Oktay et al 6 From our best literature search efforts, no work specifically combines data sensitivity and process-awareness in task scheduling. Put together, the challenges facing business rule constrained scheduling in the hybrid cloud can be enumerated as:…”

Section: Introductionmentioning

confidence: 99%

Process mining‐constrained scheduling in the hybrid cloud

Azumah

Sørensen

Montella

et al. 2020

Concurrency and Computation

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Summary Hybrid cloud, typically a combination of public and private cloud deployment models, is a rising paradigm due to the benefits it offers: full control of data and applications in the private cloud and elastic computing resource availability in the public cloud. This combination however brings an extra layer of complexity that can potentially erode the benefits and present serious challenges if not managed well. Among the challenges, ensuring business constraint compliance across the combination of cloud deployment models is a growing concern. Our article brings a sensitive, data‐ and process‐aware framework to bear on task scheduling in hybrid clouds with compliance to business constraints. Our proposed approach utilizes data from a real hybrid cloud‐based hospital billing system that is governed by complex and dynamic data processing rules. Our system successfully employs a process mining controlled algorithm to schedule tasks in the hybrid cloud to comply with the given set of business constraints.

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A heterogeneous mobile cloud computing model for hybrid clouds

Cited by 32 publications

References 47 publications

A Systematic Literature Review Method On AES Algorithm for Data Sharing Encryption On Cloud Computing

A Systematic Literature Review Method On AES Algorithm for Data Sharing Encryption On Cloud Computing

Towards Edge Computing as a Service: Dynamic Formation of the Micro Data-Centers

Process mining‐constrained scheduling in the hybrid cloud

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