Intelligent Page Recommender Agents: Real-Time Content Delivery for Articles and Pages Related to Similar Topics

2011 ◽  
pp. 173-182 ◽  
Author(s):  
Robin M. E. Swezey ◽  
Shun Shiramatsu ◽  
Tadachika Ozono ◽  
Toramatsu Shintani
Keyword(s):  
Real Time ◽  
Content Delivery ◽  
Recommender Agents

Kaleidoscope: Real-time content delivery in software defined infrastructures

2015 ◽  
Author(s):  
Qi Zhang ◽  
Sai Qian Zhang ◽  
Jieyu Lin ◽  
Hadi Bannazadeh ◽  
Alberto Leon-Garcia
Keyword(s):  
Real Time ◽  
Content Delivery

Performance Evaluation of Prefetching Algorithm for Real-Time Edge Content Delivery in 5G System

2019 ◽  
Author(s):  
Makoto Nakamura ◽  
Hiroaki Nishiuchi ◽  
Konstantin Koslowski ◽  
Julian Daube ◽  
Ricardo Santos ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Real Time ◽  
Content Delivery ◽  
Edge Content

A Lyapunov optimization approach to energy-efficient content delivery networks

SIMULATION ◽  
2019 ◽  
Vol 96 (3) ◽  
pp. 269-280
Author(s):  
Pejman Goudarzi ◽  
Mahmoud Mousavinejad
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Energy Cost ◽  
Routing Algorithm ◽  
Content Delivery ◽  
Perceived Quality ◽  
Green Energy ◽  
Optimization Approach ◽  
Operational Cost ◽  
Content Delivery Network

A content delivery network (CDN) supports fast growing services (such as streaming media) for end users and uses request a routing algorithm to enhance the users’ perceived quality of experience (QoE). This working process can increase the power consumption and eventually the operational cost of the CDN system substantially. In addition, a smart grid facilitates real-time electricity pricing for the consumers as well as the integration of green energy resources into the electrical grid for improving the system efficiency. In this paper, we first take into account these key functionalities of a smart grid to propose a real-time energy management algorithm for reducing the operational cost within a CDN cluster. We then define the proposed stochastic optimization algorithm for jointly optimizing the energy cost and perceived quality within a CDN system based on the popular Lyapunov-drift methodology. Numerical results are presented to evaluate and validate the aforementioned solution. The obtained results indicate large operational and energy cost savings for a single CDN or more than one CDN providers over a conventional method that only optimizes the users’ perceived QoE.

Joint Energy-QoE Efficient Content Delivery Networks Using Real-Time Energy Management

2020 ◽  
Vol 14 (1) ◽  
pp. 927-938
Author(s):  
Pejman Goudarzi ◽  
Abolfazl Ghassemi ◽  
Mohammad R. Mirsarraf ◽  
Rajkumar Buyya
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Content Delivery ◽  
Content Delivery Networks ◽  
Delivery Networks
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