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Content caching networks like Information-Centric Networking (ICN) are beneficial to reduce the network traffic by storing content data on routers near to users. In ICN, it becomes an important issue to manage system resources, such as storage and network bandwidth, which are influenced by cache characteristics of each cache node. Meanwhile, cache aging techniques based on Time-To-Live (TTL) of content facilitate analyzing cache characteristics and can realize appropriate resource management by setting efficient TTLs. However, it is difficult to search for the efficient TTLs in a distributed cache system connected by multiple cache nodes. Therefore, we propose an adaptive control mechanism of the TTL value of content in distributed cache systems by using predictive models which can estimate the impact of the TTL values on network resources and cache performance. Furthermore, we show the effectiveness of the proposed mechanism. key words: cache aging, Time-To-Live, content dissemination, in-network caching, content-centric networking, Newton’s method

SUMMARY Network structures can be found in almost any kind of nat-ural or artificial systems as transport medium for communication betweenthe respective nodes. In this paper we study certain key topological featuresof brain functional networks obtained from functional magnetic resonanceimaging (fMRI) measurements. We compare complex network measures ofthe extracted topologies with those from Internet service providers (ISPs).Our goal is to identify important features which will be helpful in designingmore robust and adaptive future information network architectures. key words: brain functional networks, complex networks, fMRI, networktopology 1. Introduction Recently, the progress in the field of network science hasstimulated the study of a wide variety of network structuresfound in biological and engineered networks. The seminalwork by Albert and Barabasi [1] and its introduction of the´concept of scale-free networks has helped pave the way to agreater understanding of universal structures that can be ob-served in the connectivity of for instance WWW documents,Internet routers, but also gene regulatory networks and brainfunctional networks [2]. The definition of measures describ-ing fundamental topological structures permits quantifyingand comparing networks of different origin. Especially, inlight of the current redesign efforts toward a Future Internet,a thorough understanding and utilization of the mechanismsfound in biological networks seems promising for develop-ing robust and adaptive

SUMMARY Several task forces have been working on how to designthe future Internet in a clean slate manner and mobility management isone of the key issues to be considered. However, mobility managementin the future Internet is still being designed in an “all-in-one” way whereall management functions are tightly kept at a single location and this re-sults in cost inefficiency that can be an obstruction to constructing flexiblesystems. In this paper, we propose a new function-distributed mobilitymanagement architecture that can enable more flexible future Internet con-struction. Furthermore, we show the effectiveness of our proposed systemvia a cost analysis and computer simulation with a random walk mobilitymodel. key words: distributed mobility, future Internet, random walk model, costanalysis 1. Introduction Recently, societal requirements have become so compli-cated that the current Internet is struggling to meet themcompletely and it is now facing many challenging issues.In order to accomplish not only an incremental, but dras-tic innovation, many research works for new generationnetworks, in other words the future Internet, are being at-tempted from scratchall overthe world. High capacity, hugenumbers of devices, high reliability, as well as ecologicaland sustainable society support are among these challeng-ing issues. We can see high activities in future Internet re-search efforts [1] in order to support the requirements aboveand make our future life more prosperous and it is easy toimagine that supporting user mobility is one of those criticalfunctions.In the current IP network era