A Power-Saving Technique for the OSGi Platform

Chen, Kuo-Yi; Lin, Chin Yang; Yan, Tien; Hou, Ting Wei

doi:10.1587/transinf.e95.d.1417

Cited by 3 publications

(2 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the Kullback-Leibler distance, the maximum histogram distance of relative entropy D(p∥q) with a specified threshold value is given, where q is derived from the ZCB-REP power data model and is the historical consumption readings [14]. As a result, a Universal Middleware-based platform construction model is proposed in order to boost the functional efficiency of system software while investing minimally in current stability and increased hardware performance [15].…”

Section: Model Of Zcb-rep Architecturementioning

confidence: 99%

Consumer Neural Network Model of ZCB-REP(Zero Carbon Building-Residential Energy Platform): A Power Grid based on Universal Middleware

Lee¹

2022

APJCRI

View full text Add to dashboard Cite

This study used Universal Middleware to regulate the power efficiency capabilities of ZCB-REP(Zero Carbon Building-Residential Energy Platform) as a consumer demand communication service platform for a neural network application model. The power grid network is conducted as a neural network needed for two types of situational decisions to conduct each service for consumer application convergence, and data convergence. First, the ZCB(Zero Carbon Building) microgrid platform was applied to the energy demand model of the run-time execution system, and possible to integrate neural network application services and dynamically distribute them to the other components. This is supported into a transmittable form and configured according to the definition between the provider and the consumer model based on the unit service deliverable framework. Second, REP(Residential Energy Platform) collected customer data and analyzed it using variable network middleware, such as a device management protocol, for each system deployment component. The data collection method was based on the LSTM(Long Short-Term Memory network) network based on db4object and comparative analyzed for NoSQL suitable for a distributed environment. This allows it to conform to the supplier and consumer model between the elements required to build the microgrid infrastructure required by the energy convergence terminal and the facility device interface of the zero carbon building as an intelligent gateway. According to a study on establishing the residential power service system requirement for an add-on microgrid service, the efficiency of operation should be connected to the platform and applied to external systems, providing scalability. The Consumer's demand events were organized and quantified using a neural network method of measuring parameters and evaluating the efficiency of external services to frameworks model, declaration of various entropy services that could be applied to efficiency as real time application services, and extended services. In order to support the independence of real-time operating systems with an entropy model based on the operating system that supports an Android, Windows, and Linux kernel 2.1 series, its applied Universal Middleware concept. This communication convergence entropy model is TR-069 of Broadband Forum, CWMP(CPE WAN Management) of Broadband Forum Standard, and HGI(Home Gateway Initiative). Therefore, a power grid of consumer centered study in the future can be effectively applied to access and integrate platforms of microgrid devices supporting system models for multi-way protocol communication services and to power convergence service equipment that reflects consumer requests in real-time. This study is intended to establish a foundation for ongoing research as a suitable model to solve the environmental issue that humanity must respond to collaboratively by remodeling the enormous resources required to reconstruct and expand the existing system.

show abstract

Section: Model Of Zcb-rep Architecturementioning

confidence: 99%

Consumer Neural Network Model of ZCB-REP(Zero Carbon Building-Residential Energy Platform): A Power Grid based on Universal Middleware

Lee¹

2022

APJCRI

View full text Add to dashboard Cite

show abstract

“…Secondly, due to phases of applications could be detected precisely by the runtime information of a JVM, the disadvantages of ambiguous phase determinations of PM power-saving techniques could be also improved. [10] The research steps of this study are performed as follows. Firstly, the behaviors of critical sections in Java are studied.…”

Section: Introductionmentioning

confidence: 99%

The Smart Energy Management of Multithreaded Java Applications on Multi-Core Processors

Chen¹,

Chen²

2013

IJNDC

Self Cite

View full text Add to dashboard Cite

Multi-core processors are becoming widely deployed. However, more cores consume more power. A power saving technique for multi-core systems based on the observation of critical sections is proposed. Since only one thread works in a critical section, other threads on other cores that access the same resource would be busy waiting. The proposed power-saving technique leads to the energy savings (11 to 15 percent) and the lowest values of Energy Delay Product as compared with the other power-saving techniques.

show abstract

Smart Energy Management of Multi-threaded Java Applications on Multi-core Processors

Chen

Chen³

et al. 2012

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

View full text Add to dashboard Cite

A Power-Saving Technique for the OSGi Platform

Cited by 3 publications

References 32 publications

Consumer Neural Network Model of ZCB-REP(Zero Carbon Building-Residential Energy Platform): A Power Grid based on Universal Middleware

Consumer Neural Network Model of ZCB-REP(Zero Carbon Building-Residential Energy Platform): A Power Grid based on Universal Middleware

The Smart Energy Management of Multithreaded Java Applications on Multi-Core Processors

Smart Energy Management of Multi-threaded Java Applications on Multi-core Processors

Contact Info

Product

Resources

About