scholarly journals Application‐centric energy‐efficient Ethernet with quality of service support

2015 ◽  
Vol 51 (15) ◽  
pp. 1165-1167 ◽  
Author(s):  
I. Popescu ◽  
T. Miyazaki ◽  
M. Chino ◽  
X. Wang ◽  
S. Okamoto ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Energy Efficient ◽  
Service Support ◽  
Energy Efficient Ethernet

scholarly journals Energy-Efficient IoT Service Brokering with Quality of Service Support

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 693
Author(s):  
Giacomo Tanganelli ◽  
Enzo Mingozzi
Keyword(s):  
Quality Of Service ◽  
Energy Efficient ◽  
Energy Aware ◽  
Allocation Policy ◽  
Service Support ◽  
Service Allocation ◽  
Iot Platforms ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) is becoming real, and recent studies highlight that the number of IoT devices will significantly grow in the next decade. Such massive IoT deployments are typically made available to applications as a service by means of IoT platforms, which are aware of the characteristics of the connected IoT devices–usually constrained in terms of computation, storage and energy capabilities–and dispatch application’s service requests to appropriate devices based on their capabilities. In this work, we develop an energy-aware allocation policy that aims at maximizing the lifetime of all the connected IoT devices, whilst guaranteeing that applications’ Quality of Service (QoS) requirements are met. To this aim, we formally define an IoT service allocation problem as a non-linear Generalized Assignment Problem (GAP). We then develop a time-efficient heuristic algorithm to solve the problem, which is shown to find near-optimal solutions by exploiting the availability of equivalent IoT services provided by multiple IoT devices, as expected especially in the case of massive IoT deployments.

Quality-of-Service Support in Web Services Architecture

2004 ◽  
Vol 9 (5-6) ◽  
pp. 185-203 ◽  
Author(s):  
Amma Eleyan ◽  
Ludmil Mikhailov ◽  
Liping Zhao
Keyword(s):  
Quality Of Service ◽  
Web Services ◽  
Service Support

Energy-Efficient Virtualized Scheduling and Load Balancing Algorithm in Cloud Data Centers

2021 ◽  
Vol 11 (3) ◽  
pp. 34-48
Author(s):  
J. K. Jeevitha ◽  
Athisha G.
Keyword(s):  
Quality Of Service ◽  
Load Balancing ◽  
Energy Efficient ◽  
Data Centers ◽  
Scheduling Algorithm ◽  
Cloud Data ◽  
The Third ◽  
Cloud Data Centers ◽  
Load Balancing Algorithm

To scale back the energy consumption, this paper proposed three algorithms: The first one is identifying the load balancing factors and redistribute the load. The second one is finding out the most suitable server to assigning the task to the server, achieved by most efficient first fit algorithm (MEFFA), and the third algorithm is processing the task in the server in an efficient way by energy efficient virtual round robin (EEVRR) scheduling algorithm with FAT tree topology architecture. This EEVRR algorithm improves the quality of service via sending the task scheduling performance and cutting the delay in cloud data centers. It increases the energy efficiency by achieving the quality of service (QOS).

End-to-End Quality of Service Support

2005 ◽  
pp. 99-136
Author(s):  
Giuseppe Bianchi ◽  
Nicola Blefari-Melazzi ◽  
Francesco Delli Priscoli ◽  
Paolo Dini ◽  
Mauro Femminella
Keyword(s):  
Quality Of Service ◽  
Service Support ◽  
End To End
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