Networking Protocols in Sociotechnical Networks

2010 ◽  
pp. 313-328
Keyword(s):  
Sociotechnical Networks ◽  
Networking Protocols

scholarly journals LIS–lnterlink—connecting laboratory information systems to remote primary health–care centres via the Internet

1998 ◽  
Vol 20 (3) ◽  
pp. 77-81
Author(s):  
Barry Clark ◽  
Bartosz Wachowiak ◽  
Ewan W. Crawford ◽  
Zenon Jakubowski ◽  
Janusz Kabata
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
The Internet ◽  
Ip Address ◽  
Primary Health ◽  
Software Product ◽  
Product Test ◽  
Local Cell ◽  
Networking Protocols ◽  
Laboratory Information Systems

A pilot study was performed to evaluate the feasibility of using the Internet to securely deliver patient laboratory results, and the system has subsequently gone into routine use in Poland. The system went from design to pilot and then to live implementation within a four-month period, resulting in the LIS-Interlink software product. Test results are retrieved at regular intervals from the BioLinkTMLIS (Laboratory Information System), encrypted and transferred to a secure area on the Web server. The primary health-care centres dial into the Internet using a local-cell service provided by Polish Telecom (TP), obtain a TCP/IP address using the TP DHCP server, and perform HTTP ‘get’ and ‘post’ operations to obtain the files by secure handshaking. The data are then automatically inserted into a local SQL database (with optional printing of incoming reports)for cumulative reporting and searching functions. The local database is fully multi-user and can be accessed from different clinics within the centres by a variety of networking protocols.

In-Vehicle Networking: Protocols, Challenges, and Solutions

IEEE Network ◽  
2019 ◽  
Vol 33 (1) ◽  
pp. 92-98 ◽  
Author(s):  
Jun Huang ◽  
Mingli Zhao ◽  
Yide Zhou ◽  
Cong-Cong Xing
Keyword(s):  
Networking Protocols ◽  
Vehicle Networking

‘The biggest legal battle in UK casino history’: Processes and politics of ‘cheating’ in sociotechnical networks

2018 ◽  
Vol 48 (2) ◽  
pp. 304-327 ◽  
Author(s):  
Mark R Johnson
Keyword(s):  
Science And Technology Studies ◽  
Science And Technology ◽  
Social Processes ◽  
Previous Literature ◽  
Actor Network ◽  
Technology Studies ◽  
Sociotechnical Networks ◽  
Legal Battle

Previous literature on cheating has focused on defining the concept, assigning responsibility to individual players, collaborative social processes or technical faults in a game’s rules. By contrast, this paper applies an actor-network perspective to understanding ‘cheating’ in games, and explores how the concept is rhetorically effective in sociotechnical controversies. The article identifies human and nonhuman actors whose interests and properties were translated in a case study of ‘edge sorting’ – identifying minor but crucial differences in tessellated patterns on the backs of playing cards, and using these to estimate their values. In the ensuing legal controversy, the defending actors – casinos – retranslated the interests of actors to position edge sorting as cheating. This allowed the casinos to emerge victorious in a legal battle over almost twenty million dollars. Analyzing this dispute shows that cheating is both sociotechnically complex as an act and an extremely powerful rhetorical tool for actors seeking to prevent changes to previously-established networks. Science and Technology Studies (STS) offers a rich toolkit for examining cheating, but in addition the cheating discourse may be valuable to STS, enlarging our repertoire of actor strategies relevant to sociotechnical disputes.

Transcriptional Regulatory Network Topology with Applications to Bio-inspired Networking: A Survey

2022 ◽  
Vol 54 (8) ◽  
pp. 1-36
Author(s):  
Satyaki Roy ◽  
Preetam Ghosh ◽  
Nirnay Ghosh ◽  
Sajal K. Das
Keyword(s):  
Communication Networks ◽  
Biological Networks ◽  
Regulatory Network ◽  
Large Scale ◽  
Data Transfer ◽  
Transcriptional Regulatory Network ◽  
Future Research ◽  
Transcriptional Regulatory ◽  
Iot Devices ◽  
Networking Protocols

The advent of the edge computing network paradigm places the computational and storage resources away from the data centers and closer to the edge of the network largely comprising the heterogeneous IoT devices collecting huge volumes of data. This paradigm has led to considerable improvement in network latency and bandwidth usage over the traditional cloud-centric paradigm. However, the next generation networks continue to be stymied by their inability to achieve adaptive, energy-efficient, timely data transfer in a dynamic and failure-prone environment—the very optimization challenges that are dealt with by biological networks as a consequence of millions of years of evolution. The transcriptional regulatory network (TRN) is a biological network whose innate topological robustness is a function of its underlying graph topology. In this article, we survey these properties of TRN and the metrics derived therefrom that lend themselves to the design of smart networking protocols and architectures. We then review a body of literature on bio-inspired networking solutions that leverage the stated properties of TRN. Finally, we present a vision for specific aspects of TRNs that may inspire future research directions in the fields of large-scale social and communication networks.

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