Towards universal mobile caching

Santhanakrishnan, Ganesh; Amer, Ahmed; Chrysanthis, Panos K.

doi:10.1145/1065870.1065883

Cited by 10 publications

(8 citation statements)

References 19 publications

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“…Universal Mobile Caching (UMC), which is suitable for managing object caches in structurally varying environments and which is self-optimizing for changing workloads [41]. UMC is based on a simple set of basic criteria which reflects a spectrum of possible caching policies.…”

Section: Universal Mobile Cachingmentioning

confidence: 99%

A Survey on Web Pre-Fetching and Web Caching Techniques for Latency Optimization in Mobile Environment

2017

IJSR

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Increasing popularity of the World Wide Web over the past few years has imposed a significant traffic burden upon the internet. The continued increase in demand for objects on the internet causes severe overloading in many sites and network links. Web traffic reduction techniques are mandatory for accessing the websites efficiently. Data caching and prefetching techniques play a key role in improving the web performance in mobile information systems. Generally the mobile devices have less amount of memory storage than computers. Therefore the key challenge in prefetching is to determine 'what to prefetch' so that the improvement in performance will be enhanced. In a mobile environment the mobility brings the new challenges to the prefetch problem.

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Section: Universal Mobile Cachingmentioning

confidence: 99%

A Survey on Web Pre-Fetching and Web Caching Techniques for Latency Optimization in Mobile Environment

2017

IJSR

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“…Cooperative caching in mobile ad hoc networks is studied in [17], where a set of mobile terminals connected through multihop communications to form an ad hoc network and coordinately cache and forward data for each other. Cache replacement strategies in wireless networks have been studied extensively in the past few years [18][19][20][21][22][23][24] to save energy, alleviate bandwidth consumption, and decrease access latency.…”

Section: Related Workmentioning

confidence: 99%

Movement prediction based cooperative caching for location dependent information service in mobile ad hoc networks

Chan

Wang

et al. 2010

J Supercomput

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Location Dependent Information Services (LDISs), through which mobile clients can access location sensitive data such as weather information, traffic reports, and local news, are gaining increasing popularity in recent years. Due to limited client power and intermittent connectivity, caching is an important approach to improve the performance of LDISs. In this paper, we propose a cache replacement policy called Location Dependent Cooperative Caching (LDCC). Unlike existing location dependent cache replacement policies, the LDCC strategy applies a prediction model to approximate client movement behavior and a probabilistic transition model to analyze the communication cost. These models are used in the design of a cache replacement policy to improve system overall performance. Simulation results demonstrate that the proposed strategy significantly outperforms existing caching policies in providing LDIS in mobile ad hoc networks.

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“…In mobile environments, caching can contribute to a greater reduction in the constraint of utilization resources such as network bandwidth, power, and allow disconnected operation [4]. A lot of studies are focus on developing a better caching algorithm to improve the choice of item to replace, and simultaneously, building up techniques to model access behavior and prefetch data.…”

Section: Related Work On Mobile Web Cachingmentioning

confidence: 99%

An Implementation of Rough Set in Optimizing Mobile Web Caching Performance (Invited Paper)

Sulaiman

Shamsuddin

Abraham

2008

Tenth International Conference on Computer Modeling and Simulation (Uksim 2008)

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The stipulation of internet content rises dramatically in recent years. Servers have become extremely powerful and the bandwidth of end user connections and backbones grew constantly during the previous decade. Nonetheless, users frequently experience poor performance to access web sites or download files primarily if mobile devices have been used due to their limited storage, processing, display, power and communication resources. The causes are often performance which access directly on the servers (e.g. pitiable performance of server-side applications or during burst crowds) and network infrastructure (e.g. long geographical distances, network overloads, etc.). Hence, the goal of this study is to propose Rough Set (RS) as a knowledge representation for uncertainty in data of client behavior and mobile event specification with resource dependencies to reduce latency by prefetching selected resources to resolve the problems in handling dynamic web pages. We conducted the trace-based experiments on the RS approach for better classification outcomes.

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Towards universal mobile caching

Cited by 10 publications

References 19 publications

A Survey on Web Pre-Fetching and Web Caching Techniques for Latency Optimization in Mobile Environment

A Survey on Web Pre-Fetching and Web Caching Techniques for Latency Optimization in Mobile Environment

Movement prediction based cooperative caching for location dependent information service in mobile ad hoc networks

An Implementation of Rough Set in Optimizing Mobile Web Caching Performance (Invited Paper)

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