A Data Activity-Based Server-Side Cache Replacement for Mobile Devices

Kottursamy, Kottilingam; Raja, Gunasekaran; Saranya, K.

doi:10.1007/978-81-322-2656-7_53

Cited by 7 publications

(2 citation statements)

References 7 publications

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“…In the other direction K. Kottursamy et al [7] have proposed to focus on the affinity of the data, rather than the location or the application. This proposal has intrigued the question of progressive or adaptive algorithms for cache managements in MANET architecture.…”

Section: Outcomes From the Parallel Researchesmentioning

confidence: 99%

An Energy Aware Strategy for Distributed Cache Discovery with Stale Page Reduction

Rani*,

Seetha

2019

IJITEE

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With the immense growth in the field of mobile communication, a good number of complex applications are now available for the mobile devices. The complex applications are made available to comply with the client demand for the higher performing and higher capable applications, which can be accessible from any locations and any devices. Thus, the application developers have attempted to make highly scaled applications to be deployed on mobile communication devices. The larger applications have higher demand for memory and processing capabilities. Thus, making the similar infrastructure available on the mobile computing environments was always a challenge. Nonetheless, with the availability of distributed computing architecture, the bottleneck for the computing capabilities for these complex applications can be handled. Nonetheless, the memory capabilities for the applications must be addressed more sophisticated manner using distribution of the memory and sharing of the data. Henceforth, distributed caching came under existence.A conveyed cache is an augmentation of the customary idea of cache utilized in a solitary district. A conveyed cache may traverse various servers with the goal that it can develop in size and in value-based limit. It is for the most part used to store application information living in database and web session information.One of the most popular technique for making the cache available is to perform cache discovery operations in the network. A number of parallel research attempts are made to identify the accurate place in the network to create or build the distributed cache network.However, the most of the parallel research attempts are criticised for considering single dimensions for cache discovery as few of the work focuses on distance, few of the work focuses on density and some of the works focuses on page replacement policies applicable on mobile computing environments as MANETs or WSN. Henceforth, the demand of the research is to consider multiple parameters for cache discovery and build a framework to automatically define the cache distribution. Hence, this work proposes a novel architecture or framework to detect the cache distribution based on distance, stale page reduction mechanism and finally the energy optimization. The outcome of the research is to automate the recommendation of cache discovery and increase the network life time by 90% compared to the existing methods for cache discovery. In order to handle the complex processing of the proposed algorithms, this work deploys machine learning methods to reduce the time complexity.

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Section: Outcomes From the Parallel Researchesmentioning

confidence: 99%

An Energy Aware Strategy for Distributed Cache Discovery with Stale Page Reduction

Rani*,

Seetha

2019

IJITEE

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“…An edge device is an infrastructure of a heterogeneous router, gateway, switch, access points, or a base station and end-user devices. Generally, edge devices are required to have sufficient computational [8]- [12] and storage resources. It aid as a complement cloud to extend resources and services.…”

Section: Introductionmentioning

confidence: 99%

Multimedia Computational Offloading for 5G Mobile Edge Computing

D¹,

Raja²

2021

Preprint

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Due to the tremendous growth of smartphone users with their massive usage of faster response, delay sensitive applications lead to high traffic demands, still not yet been met by current researchers. Thus, the ever-increasing computational demands are managed through computational offloading, which offload intensive workloads to the small cells having functionality similar to the resource-rich providers namely edge server. With the use of edge server, the heavily loaded computations get executed outside of the mobile device which results in minimization of mobile energy consumption and latency. Mobile edge computing is an emerging paradigm of commercial infrastructure for computational offloading, which enhances the power of smart mobile devices. Generally, edge provides cloud services and resources to the nearest proximity of users with radio access in fifth-generation (5G) networks for low latency, prompt response, and filtering. But, the frequent network failure automatically degrades the performance. Hence in this paper, we integrate the functionalities of Edge Server with Pico cells (ESP) for efficient traffic management and also propose a distributed Multi hop Mesh Middle layer (MMM) architecture for seamless communication with high resilience, minimal latency, and reduction of energy consumption. Generally, a pico cell is a distributed antenna system, an alternative to a repeater used to extend wireless services to 100 users. We developed an Ant Social based Vector (ASV) optimization algorithm for an intelligent offload decision, which paves the way for backhaul routing conflicts. Simulation results of Cloud Sim show that offloading tiny devices integrated with significant additional computational capabilities would satisfy all the demands from each network within a 15ms delay.

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An Improved Cache Invalidation Policy in Wireless Environment Cooperate with Cache Replacement Policy Based on Genetic Programming

El-Zoghabi

Shenawy

2018

Advances in Intelligent Systems and Computing

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A Data Activity-Based Server-Side Cache Replacement for Mobile Devices

Cited by 7 publications

References 7 publications

An Energy Aware Strategy for Distributed Cache Discovery with Stale Page Reduction

An Energy Aware Strategy for Distributed Cache Discovery with Stale Page Reduction

Multimedia Computational Offloading for 5G Mobile Edge Computing

An Improved Cache Invalidation Policy in Wireless Environment Cooperate with Cache Replacement Policy Based on Genetic Programming

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