Grid Computing Implementation in Ad Hoc Networks

Grnarov, A.; Cilku, Bekim; Miskovski, Igor; Filiposka, Sonja; Trajanov, Dimitar

doi:10.1007/978-1-4020-8741-7_35

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…ID job is the job identifier, ID sw is the type of software needed to execute the job, U w is the urgency weight initialized as 0, it can be varied with the congestion control process on entering the PDQ and DATA is data to be processed by the job. [1]The dynamic topology and mobility of mobile ad hoc grid not support the central register node to maintain the resource table. The free resources are discovered with On-demand resource discovery applied to AHGL at the moment jobs enter the mobile ad hoc grid, generates AHGL request packet and broadcast it to all available nodes, which is shown in fig., 3.…”

Section: Figure 2 Format Of a Small Grid Jobmentioning

confidence: 99%

“…The mobile ad hoc grid technology can be applied for disaster management, wild fire fighting, e-health care and emergency. [1] The general attributes of mobile ad hoc networks are bandwidth, power, Multi-hop delivery, Network partitioning and Infrastructure unpredictability. The challenges in mobile ad hoc grid are energy consumption, network topology which is neither stable nor predictable, bandwidth -limited and vulnerable to adverse signal quality, without a reliable central infrastructure, the organization of grid resources and execution of grid applications require decentralized operation, fault tolerance and more difficult to perform authentication and to provide general security mechanisms.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Congestion Control in Mobile Ad Hoc Grid Layer

Bhaskaran¹,

Madheswaran²

2010

IJCA

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Section: Figure 2 Format Of a Small Grid Jobmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Congestion Control in Mobile Ad Hoc Grid Layer

Bhaskaran¹,

Madheswaran²

2010

IJCA

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“…The ability to utilize existing resources to supply cloud services within a scope of unreliable hosts in comparison with one provided by 'Grid Computing' . Instead, the ' Ad-hoc Cloud Model' concept may be somehow comparable to the 'Volunteer Computing' , the paradigm itself of the ad-hoc cloud systems including various additional keys [3]. Mawgoud…”

Section: Introductionmentioning

confidence: 99%

A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC system

et al. 2022

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In the early days of digital transformation, the automation, scalability, and availability of cloud computing made a big difference for business. Nonetheless, significant concerns have been raised regarding the security and privacy levels that cloud systems can provide, as enterprises have accelerated their cloud migration journeys in an effort to provide a remote working environment for their employees, primarily in light of the COVID-19 outbreak. The goal of this study is to come up with a way to improve steganography in ad hoc cloud systems by using deep learning. This research implementation is separated into two sections. In Phase 1, the “Ad-hoc Cloud System” idea and deployment plan were set up with the help of V-BOINC. In Phase 2, a modified form of steganography and deep learning were used to study the security of data transmission in ad-hoc cloud networks. In the majority of prior studies, attempts to employ deep learning models to augment or replace data-hiding systems did not achieve a high success rate. The implemented model inserts data images through colored images in the developed ad hoc cloud system. A systematic steganography model conceals from statistics lower message detection rates. Additionally, it may be necessary to incorporate small images beneath huge cover images. The implemented ad-hoc system outperformed Amazon AC2 in terms of performance, while the execution of the proposed deep steganography approach gave a high rate of evaluation for concealing both data and images when evaluated against several attacks in an ad-hoc cloud system environment.

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“…The resource sharing potential of grid computing initiates the juncture of grid computing and mobile ad hoc environments. A Grnarov et al [1] developed grid computing implementations in adhoc networks. They investigated the adhoc network performances and tune the network grid parameters.…”

Section: Introductionmentioning

confidence: 99%