How to slice the day: Optimal time quantization for energy saving in the internet backbone networks

2012 ◽  
Author(s):  
Marcel Caria ◽  
Anna Engelmann ◽  
Admela Jukan ◽  
Beate Konrad
Keyword(s):  
Energy Saving ◽  
Optimal Time ◽  
The Internet ◽  
Backbone Networks ◽  
Internet Backbone

scholarly journals Green distributed algorithm for energy saving in IP wired networks using sleep scheduling

2021 ◽  
Vol 11 (6) ◽  
pp. 5160
Author(s):  
Mohammed Hussein ◽  
Wisam Alabbasi ◽  
Ahmad Alsadeh
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Learning Algorithm ◽  
Critical Issue ◽  
The Internet ◽  
Great Effort ◽  
Network Nodes ◽  
Backbone Networks ◽  
Wired Networks ◽  
Traffic Matrix

Energy saving has become a critical issue and a great challenge in the past few decades, and a great effort as well is being made to reduce consumed energy. The Internet forms a major source for energy consumption. Therefore, in this work we propose an algorithm for energy saving in distributed backbone networks, the reduced energy consumption (RedCon) algorithm. In this paper, we introduce a new version for saving energy on the Internet by switching off underutilized links and switching on idle links when the network is overloaded in a distributed manner over the network nodes based on LSA messages and without any knowledge of the traffic matrix. Our algorithm is more accurate and outperforms other algorithms with its time checks and advanced learning algorithm.

Cognitive Social Exchange

2019 ◽  
pp. 273-288
Author(s):  
Sampoornam K. P.
Keyword(s):  
Social Exchange ◽  
Error Control ◽  
The Internet ◽  
Receiver Side ◽  
Internet Backbone ◽  
Transmission Switching ◽  
Switching Unit ◽  
Telecommunications Network

This book chapter presents the role of telecommunications network in voice and data transmission. Switching, signaling and transmission are the technologies used to carry out this process. In landline call establishment, calls are routed from subscriber handset to a remote switching unit (RSU), a main switching unit (MSU), and to the internet protocol trunk automated exchange (IPTAX). Then, it is directed to the National Internet Backbone (NIB). On the receiver side, the IPTAX receives this signal from the NIB and directs to it to the MSU and RSU, respectively. The receiver side RSU delivers the information to the destination subscriber. In order to transmit the information from one place to other, it undergoes various process like modulation, demodulation, line coding, equalization, error control, bit synchronization and multiplexing, digitizing an analog message signal, and compression. This chapter also discusses the various services provided by BSNL and agencies governing the internet. Finally, it focuses on the National Internet Backbone facility of BSNL, India.

Network Infrastructure: The Internet Backbone

2004 ◽  
pp. 63-77
Author(s):  
Joan E. Ricart-Costa ◽  
Brian Subirana ◽  
Josep Valor-Sabatier
Keyword(s):  
The Internet ◽  
Network Infrastructure ◽  
Internet Backbone

Blackout Avoidance and Energy Saving Services with Alert Aggregation

2012 ◽  
Vol 3 (4) ◽  
pp. 40-56
Author(s):  
Erica Fong ◽  
Dickson K.W. Chiu ◽  
Haiyang Hu ◽  
Yi Zhuang ◽  
Hua Hu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Real Time ◽  
Mobile Devices ◽  
Critical Energy ◽  
The Internet ◽  
Monitor System ◽  
Energy Usage ◽  
Huge Number ◽  
Smart Meters

Peak electricity demands from huge number of households in a mega-city would cause contention, leading to potential blackout. This paper proposes bi-directional collaboration via a Smart Energy Monitor System (SEMS) between consumers and energy suppliers, exchanging real-time energy usage data with smart meters over the Internet and mobile devices for well-informed decisions and even predictions. The authors further propose the use of an Alert Management System (AMS) to monitor and aggregate critical energy consumption events for this purpose.

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