Paper Info
Title
A Social Content Delivery Network for Scientific Cooperation: Vision, Design, and Architecture
Abstract
Data volumes have increased so significantly that we need to carefully consider how we interact with, share, and analyze data to avoid bottlenecks. In contexts such as eScience and scientific computing, a large emphasis is placed on collaboration, resulting in many well-known challenges in ensuring that data is in the right place at the right time and accessible by the right users. Yet these simple requirements create substantial challenges for the distribution, analysis, storage, and replication of potentially “large” datasets. Additional complexity is added through constraints such as budget, data locality, usage, and available local storage. In this paper, we propose a “socially driven” approach to address some of the challenges within (academic) research contexts by defining a Social Data Cloud and underpinning Content Delivery Network: a Social CDN (SCDN). Our approach leverages digitally encoded social constructs via social network platforms that we use to represent (virtual) research communities. Ultimately, the S-CDN builds upon the intrinsic incentives of members of a given scientific community to address their data challenges collaboratively and in proven trusted settings. We define the design and architecture of a SCDN and investigate its feasibility via a coauthorship case study as first steps to illustrate its usefulness.
Year
DOI
Venue
2012
10.1109/SC.Companion.2012.128
High Performance Computing, Networking, Storage and Analysis
Keywords
Field
DocType
social content delivery network,social data cloud,data locality,approach leverage,social cdn,right user,scientific cooperation,right place,data challenges collaboratively,available local storage,right time,data volume,cloud computing,data analysis
Data science,Locality,Social network,Incentive,Computer science,Underpinning,Distributed computing,Content delivery network,World Wide Web,Architecture,Parallel computing,Social constructionism,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-6218-4
4
0.40
References 
Authors
11
4
Name
Order
Citations
PageRank
Kyle Chard151556.70
Simon Caton215916.20
Omer F. Rana32181229.52
Daniel S. Katz41496121.04