A self-management framework for efficient resource discovery in pervasive environments

2011 ◽  
Author(s):  
Apostolos Malatras ◽  
Fei Peng ◽  
Béat Hirsbrunner
Keyword(s):  
Resource Discovery ◽  
Self Management ◽  
Management Framework ◽  
Pervasive Environments ◽  
Efficient Resource

Efficient resource discovery for large scale ad hoc networks using contacts

2002 ◽  
Vol 32 (3) ◽  
pp. 32-32 ◽  
Author(s):  
Nitin Nahata ◽  
Priyatham Pamu ◽  
Saurabh Garg ◽  
Ahmed Helmy
Keyword(s):  
Ad Hoc Networks ◽  
Large Scale ◽  
Ad Hoc ◽  
Resource Discovery ◽  
Efficient Resource ◽  
Hoc Networks

scholarly journals Efficient resource discovery in self-organized unstructured peer-to-peer networks

2009 ◽  
Vol 21 (2) ◽  
pp. 159-183 ◽  
Author(s):  
Lu Liu ◽  
Nick Antonopoulos ◽  
Stephen Mackin ◽  
Jie Xu ◽  
Duncan Russell
Keyword(s):  
Resource Discovery ◽  
Peer To Peer ◽  
Peer Networks ◽  
Self Organized ◽  
Peer To Peer Networks ◽  
Efficient Resource

scholarly journals Big data analytics and the limits of privacy self-management

2015 ◽  
Vol 19 (4) ◽  
pp. 579-596 ◽  
Author(s):  
Lemi Baruh ◽  
Mihaela Popescu
Keyword(s):  
Big Data ◽  
Privacy Protection ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Collective Good ◽  
Self Management ◽  
Management Framework ◽  
Individual Privacy ◽  
Algorithmic Analysis ◽  
Individual Strategies

This article looks at how the logic of big data analytics, which promotes an aura of unchallenged objectivity to the algorithmic analysis of quantitative data, preempts individuals’ ability to self-define and closes off any opportunity for those inferences to be challenged or resisted. We argue that the predominant privacy protection regimes based on the privacy self-management framework of “notice and choice” not only fail to protect individual privacy, but also underplay privacy as a collective good. To illustrate this claim, we discuss how two possible individual strategies—withdrawal from the market (avoidance) and complete reliance on market-provided privacy protections (assimilation)—may result in less privacy options available to the society at large. We conclude by discussing how acknowledging the collective dimension of privacy could provide more meaningful alternatives for privacy protection.

scholarly journals A Comprehensive Survey on Resource Management in Internet of Things

2020 ◽  
Vol 4 ◽  
pp. 27-43
Author(s):  
Lokesh B Bhajantri ◽  
Gangadharaiah S.
Keyword(s):  
Resource Management ◽  
Internet Of Things ◽  
Resource Discovery ◽  
Future Research ◽  
The Internet ◽  
Management Processes ◽  
Efficient Resource ◽  
Comprehensive Survey ◽  
The Individual ◽  
The Internet Of Things

Efficient resource management is a challenging task in distributed systems, such as the Internet of Things, fog, edge, and cloud computing. In this work, we present a broad overview of the Internet of Things ecosystem and of the challenges related to managing its resources. We also investigate the need for efficient resource management and the guidelines given/suggested by Standard Development Organizations. Additionally, this paper contains a comprehensive survey of the individual phases of resource management processes, focusing on resource modeling, resource discovery, resource estimation, and resource allocation approaches based on performance parameters or metrics, as well as on architecture types. This paper presents also the architecture of a generic resource management enabler. Furthermore, we present open issues concerning resource management, pointing out the directions of future research related to the Internet of Things.

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