Split-Cache: A holistic caching framework for improved network performance in wireless ad hoc networks

Majd, Nahid Ebrahimi; Misra, Satyajayant; Tourani, Reza

doi:10.1109/glocom.2014.7036797

Cited by 15 publications

(9 citation statements)

References 6 publications

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“…Some cache management schemes include content insertion and eviction, such as q-LRU, k-LRU, k-Random [63] and Split-Cache [45].…”

Section: Cache Eviction Policiesmentioning

confidence: 99%

“…In [45], a holistic cooperative-caching mechanism in WAHNs is proposed to reduce average query-solving time and network traffic, and improve query-solving rate considering data request-frequency, presence-index, and cache-splitting (popular and non-popular).…”

Section: Caching Framework Based On Wireless Ad Hoc Networkmentioning

confidence: 99%

“…In [45], a holistic caching framework called SplitCache is presented and evaluated in multi-hop wireless network, in which cache C is splitted into two parts C1 and C2 for popular and less popular items. Cacheeviction decisions are made for C1 and C2 respectively.…”

Section: User Centric Optimization Based On Caching Networkmentioning

confidence: 99%

“…Minimizing caching failure probability or maximizing caching hit rate are formulated in [33,34,53,62,104]. From the perspective of simulation, tracebased simulation is used to evaluate user experience delay in [30,43,107], and discrete event-driven simulators are adopted to evaluate caching hit rate in [45,46,58].…”

Section: User Centric Optimization Based On Caching Networkmentioning

confidence: 99%

“…Discrete event-driven simulator is used in [45,46,54,58], and trace-based simulation is performed in [30,43,106,107].…”

Section: User Centric Optimization Based On Caching Networkmentioning

confidence: 99%

See 4 more Smart Citations

Information-centric mobile caching network frameworks and caching optimization: a survey

Jin

Zhao

et al. 2017

J Wireless Com Network

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The demand for content oriented service and compute-intensive service stimulates the shift of current cellular networks to deal with the explosive growth in mobile traffic. Information centric mobile caching network architectures have emerged in Information-Centric Networking as well as mobile cellular and ad-hoc networks deployed with caches. Caching optimization based on information centric mobile caching has become the key issue, and several significant research challenges remain to be addressed before its widespread adoption. In this paper, a brief survey on Information centric mobile caching network architecture and caching optimization is presented, including cache placement in different mobile wireless network architectures, the taxonomy of cache insertion and eviction policies, the modeling behavior of caching networks as well as caching optimization based on network centric and user centric metrics, and typical applications based on mobile caching. Finally, the research directions and open challenges are investigated.

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“…Some cache management schemes include content insertion and eviction, such as q-LRU, k-LRU, k-Random [63] and Split-Cache [45].…”

Section: Cache Eviction Policiesmentioning

confidence: 99%

Section: Caching Framework Based On Wireless Ad Hoc Networkmentioning

confidence: 99%

Section: User Centric Optimization Based On Caching Networkmentioning

confidence: 99%