Information-centric mobile caching network frameworks and caching optimization: a survey <s> Analytical modeling of caching networks considering user mobility <s> Information-Centric Networking (ICN) focuses on content retrieval by replacing host-based addressing with content-based addressing. However, in MANETs, content retrieval is faced with significant challenges for nodes' high mobility. Information-Centric MANETs (ICMs) are expected to provide benefits, and there are great significance and challenges for realistically modeling content retrieval in ICMs. In this paper, we design an analytical model of content retrieval for ICMs in 1-dimensional case, which considers the nodes mobility, natures of wireless environment and caching in-networking features in ICN. Our model extracts many considerations in a pervasive methodology composed of three basic objects: locations, nodes, and contents. And closed-form expressions for throughput and delay are derived based on the hit/miss probabilities at the mobile nodes. Several simulation experiments are conducted to check the reliability of proposed model. Overall, the results show that this model can be chosen to guide further research and evaluation of optimized ICMs in the future. <s> BIB001 </s> Information-centric mobile caching network frameworks and caching optimization: a survey <s> Analytical modeling of caching networks considering user mobility <s> Information-Centric Networking (ICN) is a cleanslate networking architecture that puts information in focus instead of addressed hosts. Construction of content retrieval model to estimate the delivery performance is challenging in this ICN-based Mobile Ad hoc Networks (MANETs). In this paper, we propose a novel content retrieval model (PRCRM) for Information-Centric MANETs (ICMs) in 2-dimensional case. By investigating the distribution of content popularity, receiverdriven mechanism, content caching and replacement mechanism and generalized mobility model in 2-dimensional space, PRCRM constructs a novel content retrieval model based on the content hit/miss probability to estimate the content retrieval-related performance. We evaluate PRCRM by comparing its performance with another state of the art solution in terms of RTT and throughput. Simulation results demonstrate PRCRM's rationality and validity and it is shown that PRCRM is available to analyze content retrieval in ICMs. <s> BIB002 </s> Information-centric mobile caching network frameworks and caching optimization: a survey <s> Analytical modeling of caching networks considering user mobility <s> We analyze throughput-delay scaling laws of mobile ad-hoc networks under a content-centric traffic scenario, where users are mainly interested in retrieving contents cached by other nodes. We assume limited buffer size available at each node and Zipf-like content popularity. We consider nodes uniformly visiting the network area according to a random-walk mobility model, whose flight size is varied from the typical distance among the nodes (quasi-static case) up to the edge length of the network area (reshuffling mobility model). Our main findings are i) the best throughput-delay trade-offs are achieved in the quasi-static case: increasing the mobility degree of nodes leads to worse and worse performance; ii) the best throughput-delay trade-offs can be recovered by power control (i.e., by adapting the transmission range to the content) even in the complete reshuffling case. <s> BIB003 </s> Information-centric mobile caching network frameworks and caching optimization: a survey <s> Analytical modeling of caching networks considering user mobility <s> Mobile cloud computing and other new emerging communication paradigms such as mobile social networking and Internet-of-Things, have brought challenges in flexibility, efficiency, and scalability to the current LTE network. Inspired by thinking of the fundamental mechanisms in LTE as reasons causing those problems, SoftNet, a software defined decentralized mobile network architecture toward 5G, is proposed in this article following principles proposed for designing an efficient and scalable network. The analysis of the working mechanisms of SoftNet, including its dynamically defined architecture, decentralized mobility management, distributed data forwarding, and multi-RATs coordination, show that SoftNet has improved system capacity and performance. Further, simulations are conducted to demonstrate that signaling cost in SoftNet, as an important performance metric, can be decreased significantly compared with LTE networks. <s> BIB004 </s> Information-centric mobile caching network frameworks and caching optimization: a survey <s> Analytical modeling of caching networks considering user mobility <s> Visited locations are classified in 3 main categories according to their relevance.People visit regularly just few places where they spend most of their time.People commute between places based on their time (not spatial) distance.HOME and WORK places are in the set of few places mostly visited.Mostly visited places semantic inference is based on user mobility/behavior analysis. The current age of increased people mobility calls for a better understanding of how people move: how many places does an individual commonly visit, what are the semantics of these places, and how do people get from one place to another. We show that the number of places visited by each person (Points of Interest - PoIs) is regulated by some properties that are statistically similar among individuals. Subsequently, we present a PoIs classification in terms of their relevance on a per-user basis. In addition to the PoIs relevance, we also investigate the variables that describe the travel rules among PoIs in particular, the spatial and temporal distance. As regards the latter, existing works on mobility are mainly based on spatial distance. Here we argue, rather, that for human mobility the temporal distance and the PoIs relevance are the major driving factors. Moreover, we study the semantic of PoIs. This is useful for deriving statistics on people's habits without breaking their privacy. With the support of different datasets, our paper provides an in-depth analysis of PoIs distribution and semantics; it also shows that our results hold independently of the nature of the dataset in use. We illustrate that our approach is able to effectively extract a rich set of features describing human mobility and we argue that this can be seminal to novel mobility research. <s> BIB005
Analytical modeling of mobile caching networks is indispensable for the fundamental understanding of the behavior of information-centric mobile caching networks. Some works lay the foundation for the study of caching networks and some also take user mobility into consideration, e.g. an approximate model for general cache networks in  , a unified approach that can be used as the basis of a general performance evaluation tool for caching systems in  , an analytical model of content retrieval for ICMANETs in 1-dimensional case and 2-dimensional case in BIB001 BIB002 , a random-walk mobility model in mobile ad-hoc network under a contentcentric traffic scenario in BIB003 and a heterogeneous cellular networks deployed with caches based on Manhattan mobility model in  . Human mobility behavior research issues indicate more and more factors in modeling mobility BIB005 , besides, with the dramatic development of IoT, mobile cloud computing and other new emerging communication paradigms would bring challenges on flexibility, efficiency, and scalability for future access network architecture. Mobile caching network will involve immense amount of users and objects in IoT BIB004 . Mobility management and related optimal caching strategies considering user and content mobility would become interesting research directions for future mobile wireless network.