Reducing Operational Costs in Cloud Social TV: &lt;newline/&gt;An Opportunity for Cloud Cloning

Jin, Yichao; Wen, Yonggang; Hu, Han; Montpetit, Marie‐José

doi:10.1109/tmm.2014.2329370

Cited by 28 publications

(7 citation statements)

References 23 publications

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“…Second, we will try to generalize our model to capture the popularity dynamics of video segments. Finally, we are interested in deploying a real test-bed on top of our private cloud [6], [35], and understand those practical implementation challenges.…”

Section: Discussionmentioning

confidence: 99%

Optimal Transcoding and Caching for Adaptive Streaming in Media Cloud: an Analytical Approach

Jin

Wen

Westphal

2015

IEEE Trans. Circuits Syst. Video Technol.

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Nowadays, large-scale video distribution feeds a significant fraction of the global Internet traffic. However, existing content delivery networks may not be cost efficient enough to distribute adaptive video streaming, mainly due to the lack of orchestration on storage, computing and bandwidth resources. In this paper, we leverage the media cloud to deliver ondemand adaptive video streaming services, where those resources can be dynamically scheduled in an on-demand fashion. Our objective is to minimize the total operational cost by optimally orchestrating multiple resources. Specifically, we formulate an optimization problem, by examining a three-way trade-off between the caching, transcoding, and bandwidth cost, at each edge server. Then, we adopt a two-step approach to analytically derive the closed-form solution of the optimal transcoding configuration and caching space allocation, respectively, for every edge server. Finally, we verify our solution throughout extensive simulations. The results indicate that, our approach achieves significant cost savings compared with existing methods used in content delivery networks. In addition, we also find the optimal strategy and its benefits can be affected by a list of system parameters, including the unit cost of different resource, the hop distance to the origin server, the Zipf parameter of users' request patterns, and the settings of different bitrate version for one segment.

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Section: Discussionmentioning

confidence: 99%

Optimal Transcoding and Caching for Adaptive Streaming in Media Cloud: an Analytical Approach

Jin

Wen

Westphal

2015

IEEE Trans. Circuits Syst. Video Technol.

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“…With on board wireless device and rechargeable battery, parked cars can communicate with any cars driving through them [13][14][15][16][17]. Moreover, [18][19][20][21][22][23] have introduced the concept of vehicle cloud which are employed for multimedia sharing and distribution. Liu et al [24] propose a cooperative downloading strategy that can provide mobile users with varied services to access the internet via WiFi according to userdefined classes in highway scenarios.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy logic-based integrity-oriented file transfer for highway vehicular communications

Luo

Cai

Luan

et al. 2018

J Wireless Com Network

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Effective file transfer is fundamental to many applications in highway Vehicular Ad Hoc Networks (VANETs), e.g., social network applications, advertisement distributions, road traffic report, etc. However, due to the sparse development of roadside units (or access points) and the limited connection time between fast-moving vehicles, file transfer is susceptible to frequent interruptions, and accordingly resulting in incomplete file transfers. The incomplete file transfer leads to not only poor user performance with application playback failures, but also a colossal waste of bandwidth. To tackle this issue, in this paper, we consider a bi-directional highway vehicular network scenario where request vehicle and source vehicle are in the opposite direction, and propose a fuzzy logic-based cooperative file transfer scheme (FL-CFT). With the proposed scheme, the request file can be transferred completely from the source vehicle to request vehicle through multiple relay cluster members. As for the selection of relays, in general, finding an optimal relay subject to multiple constrains is an NP-complete problem that cannot be exactly solved in polynomial time. Accordingly, a fuzzy logic approach is utilized to optimally selects relays to help transfer the file and ensure the file integrity, which considers the relative velocity, distance, and predicted connection time among vehicles. The proposed scheme is self-organized and fully distributed, which does not require any assistance from roadside units (or access points). Simulation results show that FL-CFT outperforms the state-of-the-art file transfer schemes in file integrity on highway VANETs.

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“…Using these intelligence, we can leverage the emerging networking infrastructures. For example, cloud CDN, built on the cloud computing infrastructure, is cost efficient due to its on-demand pricing strategy [20,21] . Software defined networking [22] separates the control plane and data plane from the traditional network design philosophy and adopts a centralized control mechanism to collect network status and make better decisions than the traditional distributed mechanisms do.…”

Section: Mining Social Big Datamentioning

confidence: 99%

Embracing social big data in wireless system design

Wen

Liu

2017

J. Commun. Inf. Netw.

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Abstract:The past decade has witnessed explosive growth in wireless big data, as well as in various big data analytics technologies. The intelligence mined from these massive datasets can be utilized to optimize wireless system design. Due to the open data policy of the mainstream OSN (Online Social Network) service providers and the pervasiveness of online social services, this paper studies how social big data can be embraced in wireless communication system design. We start with our first hand experience on crawling social big data and the principal of social-aware system design. Then we present five studies on utilizing social intelligence for system optimization, including community-aware social video distribution over cloud content delivery networks, public cloud assisted mobile social video sharing, data driven bitrate adjustment and spectrum allocation for mobile social video sharing, location-aware video streaming, and social video distribution over information-centric networking.

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Reducing Operational Costs in Cloud Social TV: <newline/>An Opportunity for Cloud Cloning

Cited by 28 publications

References 23 publications

Optimal Transcoding and Caching for Adaptive Streaming in Media Cloud: an Analytical Approach

Optimal Transcoding and Caching for Adaptive Streaming in Media Cloud: an Analytical Approach

Fuzzy logic-based integrity-oriented file transfer for highway vehicular communications

Embracing social big data in wireless system design

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