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Journal ArticleDOI

Big data: transforming the design philosophy of future internet

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TLDR
The key challenges in data-driven Internet design are identified and the grand opportunities for designing future Internet architecture, communication models, and resource management mechanisms enabled by the availability of massive network data are pointed out.
Abstract
Big data opens the era of the fourth paradigm for science discovery through datadriven computing. This new paradigm applies to the design of the future Internet, which currently faces issues in supporting new applications, efficient resource utilization, and continuous evolvement. We observe several technological transformations in network architecture, services, and applications, and point out the grand opportunities for designing future Internet architecture, communication models, and resource management mechanisms enabled by the availability of massive network data. In particular, we envision in the future Internet: 1) computational complexity replaces state complexity in the control plane; 2) data intelligence enables user choices and rewards innovations; and 3) correlations from data analytics help solve inherently hard optimization problems. Finally, we identify the key challenges in data-driven Internet design and outline future research directions.

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Citations
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Journal ArticleDOI

Big data analytics and big data science: a survey

TL;DR: Diverse new approaches, methods, frameworks and systems are proposed for data collection, storage, transport, processing and analysis in the selected papers in a systematic and extensive review of journal publications about big data from 2011 to 2015.
Journal ArticleDOI

Software Defined Networking Meets Information Centric Networking: A Survey

TL;DR: The necessity of surveying the scattered works on integrating SDN and ICN for improving operational networks is pointed out and the points of SD-ICN strengths and opportunities are analyzed, and the SDN enablers for deploying ICN architectures are discussed.
Journal ArticleDOI

Technological, Organizational and Environmental Security and Privacy Issues of Big Data: A Literature Review

TL;DR: The outcome of this review reveals that security and privacy issues of big data not only originate from technological deficiencies, but it may also be the outcome of organizational culture and environmental influences.
Journal ArticleDOI

Data-Driven Information Plane in Software-Defined Networking

TL;DR: It is argued that the existence of a data-driven information plane in SDN can address challenges due to the lack of global network-wide information, and the evolution of SDN is overviewed and a novel SDN paradigm is illustrated by introducing a Data Driven Information Plane into the commonly accepted SDN reference architecture.
Journal ArticleDOI

A Distributed Publisher-Driven Secure Data Sharing Scheme for Information-Centric IoT

TL;DR: Wang et al. as mentioned in this paper proposed a distributed publisher-driven secure data sharing for ICIoT to enable only authorized users to retrieve IoT data from distributed cache, through which publishers can retrieve the attributes from nearby copy holders instead of a centralized attribute server.
References
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Journal ArticleDOI

A survey of information-centric networking

TL;DR: This work compares and discusses design choices and features of proposed ICN architectures, focusing on the following main components: named data objects, naming and security, API, routing and transport, and caching.
Proceedings ArticleDOI

Fabric: a retrospective on evolving SDN

TL;DR: SDN's shortcomings can be overcome by adopting the insight underlying MPLS and this hybrid approach will enable an era of simple hardware and flexible control, according to this paper.
Proceedings Article

XIA: efficient support for evolvable internetworking

TL;DR: This paper presents the eXpressive Internet Architecture (XIA), an architecture with native support for multiple principals and the ability to evolve its functionality to accommodate new, as yet unforeseen, principals over time.
Proceedings ArticleDOI

A quest for an Internet video quality-of-experience metric

TL;DR: The issue of interdependency can be addressed by casting this as a machine learning problem to build a suitable predictive model from empirical observations and it is shown that setting up the problem based on domain-specific and measurement-driven insights can minimize the impact of the various confounding factors to improve the prediction performance.
Proceedings ArticleDOI

DMap: A Shared Hosting Scheme for Dynamic Identifier to Locator Mappings in the Global Internet

TL;DR: The results show that the proposed DMap technique evenly balances storage load across the global network while achieving lookup latencies with a mean value of ~50 ms and 95th percentile value of~100 ms, considered adequate for support of dynamic mobility across theglobal Internet.
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