Design and Implementation of an Overlay File System for Cloud-Assisted Mobile Apps

Paiker, Nafize R.; Shan, Jianchen; Borcea, Cristian; Gehani, Narain; Curtmola, Reza; Ding, Xiaoning

doi:10.1109/tcc.2017.2763158

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…CODA [23], maintains a local cache during disconnected operations to store edited data and requires cloud connectivity to synchronize local cache with replica servers. OFS [30], carries heavy storage overhead since it keeps a copy of the same data to both local device and cloud to ensure data availability. MEFS [38] tried to retro-fit a cloud based file system to use for mobile edge, but the solution greatly relied on cloud communication.…”

Section: B Motivation and State Of The Artmentioning

confidence: 99%

“…We also analyze the choice of code-rate and it's impact on the cost function. We performed experiments on variable network sizes (10,20,30), for a file size F of 500MB, and expected file availability time T of 300 minutes. The storage S i and expected battery remaining times T i for nodes were generated using pseudo-random value generator with mean-variance of (100, 20) and (300, 80) respectively.…”

Section: A Adaptive Erasure Coding Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

R-Drive: Resilient Data Storage and Sharing for Mobile Edge Computing Systems

Sagor¹,

Stoleru²,

Bhunia³

et al. 2022

Preprint

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Mobile edge computing (MEC) systems (in which intensive computation and data storage tasks are performed locally, due to absence of communication infrastructure for connectivity to cloud) are currently being developed for disaster response applications and for tactical environments. MEC applications for these scenarios generate and process significant mission critical and personal data that require resilient and secure storage and sharing. In this paper we present the design, implementation and evaluation of R-Drive, a resilient data storage and sharing framework for disaster response and tactical MEC applications. R-Drive employs erasure coding and data encryption, ensuring resilient and secure data storage against device failure. R-Drive adaptively chooses erasure coding parameters to ensure highest data availability with minimal storage cost. R-Drive's distributed directory service provides a resilient and secure namespace for files with rigorous access control management. R-Drive leverages opportunistic networking, allowing data storage and sharing in mobile and loosely connected edge computing environments. We implemented R-Drive on Android, integrated it with existing MEC applications. Performance evaluation results show that R-Drive enables resilient and secure data storage and sharing.

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Section: B Motivation and State Of The Artmentioning

confidence: 99%

Section: A Adaptive Erasure Coding Evaluationmentioning

confidence: 99%

R-Drive: Resilient Data Storage and Sharing for Mobile Edge Computing Systems

Sagor¹,

Stoleru²,

Bhunia³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…SG-SISP has broken the traditional centralized deployment mode of information system and changed the cloud mode to distributed cluster deployment. However, the deployment of services and applications presents a large number of nodes, a wide range (resources across geographical) characteristics [4]. If manual deployment is completed, it takes time, high maintenance cost, and is prone to omissions and errors.…”

Section: Background and Challengementioning

confidence: 99%

Research on Automated Deployment Method of Smart Grid Spatio-temporal Information Service Platform Based on Cloud Computing

Wang¹,

Zou²,

Yang³

et al. 2018

dteees

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The Smart Grid Spatio-temporal Information Service Platform (SG-SISP) Based on Cloud Computing has broken the traditional centralized deployment mode of information system, integrated various computing resources with the network, and realized the cloud mode transformation to distributed cluster deployment. This article sets up a set of automated management mechanisms for cloud services and provides a unified set of application lifecycle management approaches to reduce the complexity of cloud application deployment, deployment, and maintenance. At the same time, the design of dynamic migration technology solutions to provide flexible cloud services. At the same time, automation management, that is, the completion of automated deployment, monitoring and dynamic application migration design, effectively help GIS operation and maintenance managers to quickly implement the deployment plan.

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“…The data region is the area where the data are actually stored and occupies the main space of the storage medium. It is composed of a large number of clusters which contains dozens of sectors [27,28,29,30]. The sector is the basic unit of data reading and writing, and its size is 512 B.…”

Section: Introductionmentioning

confidence: 99%

A new technology for real-time file system of high-speed storage system in airborne sensors

Tian

Nie

et al. 2021

IEICE Electron. Express

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The airborne sensors with high data rate demand the onboard high-speed storage system due to the limited bandwidth of the downlinks. The NAND Flash and its products are the most common storage medium, and the conventional FAT file system is widely used in the storage systems. However, there has been a problem in recording the live high-speed data stably with this file system. The management time of the FAT file system is relatively long due to the internal overhead which includes the retrieving and updating of the FAT and FDT. The aim of this study is to investigate the technology for the real-time file system. A technology called FPFPA (FAT post-and FDT post-allocation) method is presented to solve this problem. To evaluate the performance of the proposed method, the management time of the file system using our proposed method is tested on the high-speed storage system of an airborne radar. The result indicates that the proposed method achieves our goal successfully in that the management time of the file system is significantly reduced and sufficiently small.

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Design and Implementation of an Overlay File System for Cloud-Assisted Mobile Apps

Cited by 9 publications

References 14 publications

R-Drive: Resilient Data Storage and Sharing for Mobile Edge Computing Systems

R-Drive: Resilient Data Storage and Sharing for Mobile Edge Computing Systems

Research on Automated Deployment Method of Smart Grid Spatio-temporal Information Service Platform Based on Cloud Computing

A new technology for real-time file system of high-speed storage system in airborne sensors

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