An open content delivery infrastructure using data lockers

Alimi, Richard; Chen, Lijiang; Kutscher, Dirk; Liu, Hongqiang Harry; Rahman, Akbar; Song, Haibin; Yang, Yang Richard; Zhang, David; Zong, Ning

doi:10.1145/2342488.2342495

Cited by 7 publications

(4 citation statements)

References 13 publications

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“…For example, with storage service, and computing service, one can build file backup service, and file syncing service (keep all registered devices in sync of the user content). One can also build a data locker service [4]. In essence, the data locker protocol works with p2p protocols closely to service files on behalf of end hosts.…”

Section: Platform Servicesmentioning

confidence: 99%

A Research on Mobile Cloud Computing and Future Trends

Gu¹,

Niu²,

He³

2016

EAI Endorsed Transactions on Industrial Networks and Intelligen

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With an exploding growth of the mobile applications and emerging of cloud computing, mobile cloud computing (MCC) has become a potential technology for mobile services. MCC is the combination of cloud computing, mobile computing and wireless networks to bring rich computational resources to mobile users, network operators, as well as cloud computing providers. Despite increasing usage of mobile computing, exploiting its full potential is difficult due to its inherent problems such as resource scarcity, frequent disconnections and mobility. MCC can address these problems by executing mobile applications on the resource providers' side. In this paper, we give a definition of mobile cloud computing and provide an overview of state-of-the-art progress, in particular, models of mobile cloud applications. We also highlight research challenges in the area of mobile cloud computing. We conclude that mobile cloud computing can help building more powerful mobile applications.

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Section: Platform Servicesmentioning

confidence: 99%

A Research on Mobile Cloud Computing and Future Trends

Gu¹,

Niu²,

He³

2016

EAI Endorsed Transactions on Industrial Networks and Intelligen

View full text Add to dashboard Cite

show abstract

“…For example, with storage service, and computing service, one can build file backup service, and file syncing service (keep all registered devices in sync of the user content). One can also build a data locker service [1]. In essence, the data locker protocol works with p2p protocols closely to service files on behalf of end hosts.…”

Section: Platform Servicesmentioning

confidence: 99%

“…Technological innovations are occurring at an accelerated rate: (1) increasingly, mobile devices are much more capable in terms of processing speed and storage; and (2) the wireless network is becoming much faster and has lower latency, with new deployments such as LTE shaping the field.…”

Section: Introductionmentioning

confidence: 99%

Advancing the state of mobile cloud computing

Bahl

Han

Li³

et al. 2012

Proceedings of the Third ACM Workshop on Mobile Cloud Computing and Services

154

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The capabilities of mobile devices have been improving very quickly in terms of computing power, storage, feature support, and developed applications. However, these mobile applications are still intrinsically limited by a relative lack of bandwidth, computing power, and energy compared to their tethered counterparts. Cloud computing offers abundant computing power that can be tapped easily. Apple iCloud and Amazon Silk browser are two recent mobile applications that leverage the cloud. In this paper, we systematically explore the fundamental research questions when combining mobile and cloud computing. We will highlight some of the challenges we face and some of the solutions we are pursuing.

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“…Most existing architectures are based on distributed hash tables (DHTs) like Chord [6] or CAN [7] for topic resolution and use an overlay for data forwarding to the topic stores. PSIRP/PURSUIT [8], 4WARD/SAIL [9], and NDN/CCNx [10], [11] are ICN architectures which use DHTs and the publish-subscribe paradigm. Alternative approaches mostly differ in the way topic names are resolved and data is forwarded.…”

Section: Related Workmentioning

confidence: 99%

Analyzing storage requirements of the resilient information-centric SeDAX architecture

Hoefling

Mills

Menth

2013

2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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We develop and analyze algorithms that reduce the storage capacity required by SeDAX (Secure Data-centric Application eXtensible) in the presence of simultaneous node failures. The SeDAX infrastructure for smart grids uses data redundancy for a high level of reliability. It is an informationcentric approach using resilient data forwarding in a Delaunay triangulated overlay. While SeDAX's data forwarding scheme is well understood, there is no study that considers the SeDAX storage capacity necessary to survive multiple node failures. Our results are compared with the theoretical lower bound of SeDAX and the lower bound of an idealized storage system. The presented algorithms can be used to reduce storage requirements of SeDAX in practice.

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An open content delivery infrastructure using data lockers

Cited by 7 publications

References 13 publications

A Research on Mobile Cloud Computing and Future Trends

A Research on Mobile Cloud Computing and Future Trends

Advancing the state of mobile cloud computing

Analyzing storage requirements of the resilient information-centric SeDAX architecture

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