To Cache or Not to Cache: The 3G Case

Erman, Jeffrey; Gerber, Alexandre; Hajiaghayi, Mohammad Taghi; Pei, Dan; Sen, Subhabrata; Spatscheck, Oliver

doi:10.1109/mic.2010.154

Cited by 146 publications

(98 citation statements)

References 11 publications

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“…Prior work [10][14] [18] only studied RE techniques in isolation for mobile networks. Jointly employing multiple techniques can potentially save more bandwidth.…”

Section: Introductionmentioning

confidence: 99%

How to Reduce Smartphone Traffic Volume by 30%?

Qian

Huang

Erman

et al. 2013

Lecture Notes in Computer Science

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Abstract. The unprecedented growth in smartphone usage has fueled a massive increase in cellular network traffic volumes. We investigate the feasibility of applying Redundancy Elimination (RE) for today's smartphone traffic, using packet traces collected from 20 real mobile users for five months. For various RE techniques including caching, file compression, delta encoding, and packet stream compression, we present the first characterization of their individual effectiveness, the interaction among multiple jointly applied RE techniques, and their performance on mobile handsets. By leveraging several off-the-shelf RE techniques operating at different layers, we can achieve an overall reduction of smartphone traffic by more than 30%.

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“…Prior work [10][14] [18] only studied RE techniques in isolation for mobile networks. Jointly employing multiple techniques can potentially save more bandwidth.…”

Section: Introductionmentioning

confidence: 99%

How to Reduce Smartphone Traffic Volume by 30%?

Qian

Huang

Erman

et al. 2013

Lecture Notes in Computer Science

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show abstract

“…In mobile cellular networks, due to the fast growth of cellular traffic that cannot be coped well with the evolvement of cellular infrastructures, there have been many research works on Web caching at backhaul links [8], [9] or at mobile devices [10], [11]. Caching at RAN have been exploited in [12] [22] that mainly focus on independent caching.…”

Section: Related Workmentioning

confidence: 99%

A cooperation-driven ICN-based caching scheme for mobile content chunk delivery at RAN

Zhang

Cao

2017

2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-In order to resolve the tension between continuously growing mobile users' demands on content access and the scarcity of the bandwidth capacity over backhaul links, we propose in this paper a fully distributed ICN-based caching scheme for content objects in Radio Access Network (RAN) at eNodeBs. Such caching scheme operates in a cooperative way within neighbourhoods, aiming to reduce cache redundancy so as to improve the diversity of content distribution. The caching decision logic at individual eNodeBs allows for adaptive caching, by taking into account dynamic context information, such as content popularity and availability. The efficiency of the proposed distributed caching scheme is evaluated via extensive simulations, which show great performance gains, in terms of a substantial reduction of backhaul content traffic as well as great improvement on the diversity of content distribution, etc.

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“…Mobile networks typically follow a hierarchical structure, which conceptually comprises three abstract layers: the edge, backhaul and core networks [9], [12]. The edge network is the radio access network (RAN) and consists of a set of base stations and mobile devices, which communicate directly over wireless communication channels, e.g.…”

Section: A Mobile Networkmentioning

confidence: 99%

“…1) Caching: Many solutions for caching popular content to reduce network traffic were proposed in the past [9]. Forward caches use dedicated middleboxes for intercepting HTTP requests in backhaul networks [15], [16].…”

Section: B Reducing Mobile Network Contentionmentioning

confidence: 99%

“…gzip for HTTP traffic) is widely used to reduce the overhead of verbose application layer protocols such as XML used by backend services; new application layer protocols such as SPDY [7] and QUIC [8] are designed to decrease data transmission times by eliminating unnecessary communication. Client-or network-side caches [9] and redundancy elimination (RE) proxies [10] avoid the repeated transmission of the same data. All of these approaches, however, cannot prevent the transmission of unused application data across the RAN.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Edge Reduce: Eliminating Mobile Network Traffic Using Application-Specific Edge Proxies

Pamboris

Pietzuch

2015

2015 2nd ACM International Conference on Mobile Software Engineering and Systems

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Abstract-Mobile carriers are struggling to cope with the surge in smartphone traffic, which reflects badly on end users who often experience poor connectivity in densely populated urban environments. Data transfers between mobile client applications and their Internet backend services contribute significantly to the contention in radio access networks (RANs). Client applications, however, typically transfer unnecessary data because (i) backend service APIs do not support a fine-grained specification of the data actually required by clients and (ii) clients aggressively prefetch data that is never used.We describe EDGEREDUCE, an automated approach for reducing the data transmitted from backend services to a mobile device. Based on source-level program analysis, EDGEREDUCE generates application-specific proxies for mobile client applications that execute part of the application logic at the network edge to filter data returned by backend API calls and only send used data to the client. EDGEREDUCE also permits the tuning of aggressive prefetching strategies: proxies replace large prefetched objects such as images by futures, whose access by the client triggers the retrieval of the object on-demand. We show that EDGEREDUCE reduces the RAN traffic for real-world iOS client applications by up to 8×, with only a modest increase in response time.

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To Cache or Not to Cache: The 3G Case

Cited by 146 publications

References 11 publications

How to Reduce Smartphone Traffic Volume by 30%?

How to Reduce Smartphone Traffic Volume by 30%?

A cooperation-driven ICN-based caching scheme for mobile content chunk delivery at RAN

Edge Reduce: Eliminating Mobile Network Traffic Using Application-Specific Edge Proxies

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