A CPU-GPU Data Transfer Optimization Approach Based on Code Migration and Merging

2017 ◽  
Author(s):  
Cong Fu ◽  
Zhenhua Wang ◽  
Yanlong Zhai
Keyword(s):  
Data Transfer ◽  
Optimization Approach ◽  
Code Migration ◽  
Data Transfer Optimization

A Joint Multicast Optimization Approach for QoS Provisioning in Optical Label Switching (OLS) Networks

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Yassine Khlifi ◽  
Majid Alotaibi
Keyword(s):  
Traffic Management ◽  
Network Performance ◽  
Data Transfer ◽  
Optimization Approach ◽  
Optimization Strategy ◽  
Wavelength Converter ◽  
Label Switching ◽  
Link Capacity ◽  
Two Stages ◽  
Logical Topology

AbstractOptical label switching is introduced for ensuring fast data transfer, quality of service (QoS) support, and better resource management. However, the important issue is how to optimize resource usage and satisfy traffic constraints for improving network performance and design. This paper proposes a dynamic approach that optimizes the resource in terms of link capacity and FDL (fiber delay line) buffering as well as a wavelength converter. The proposed approach decreases the resources usage and guarantees QoS support for various traffic demands. The optimization strategy consists of two stages: path building and traffic management. The path building assures logical topology making using the cumulative cost of available resource and traffic requirements including unicast and multicast. The traffic management solves the resource formulation problem during the traffic transfer by guaranteeing the required loss and blocking delay. Simulation work is conducted for validating the proposed approach and evaluating its performances and effectiveness. Simulation results show that our proposal minimizes effectively the use of link capacity of lightpath and light-tree. Moreover, our approach optimizes the use of buffering capacity and wavelength converter and guarantees QoS support according to traffic requirements.

ON ARCHITECTURE FOR SLA-AWARE WORKFLOWS IN GRID ENVIRONMENTS

2005 ◽  
Vol 06 (03) ◽  
pp. 245-263 ◽  
Author(s):  
Dang Minh Quan ◽  
Odej Kao
Keyword(s):  
Data Transfer ◽  
A Priori ◽  
Research Work ◽  
Service Level ◽  
Explicit Statement ◽  
Grid Environments ◽  
Data Transfer Optimization ◽  
Deadline Constraints ◽  
Grid Resources

Service Level Agreements (SLAs) are currently one of the major research topics in Grid Computing, as they serve as a foundation for reliable and predictable Grids. SLAs define an explicit statement of expectations and obligations in a business relationship between provider and customer. Thus, SLAs should guarantee the desired and a-priori negotiated Quality of Service (QoS), which is a mandatory prerequisite for the Next Generation Grids. This development is proved by a manifold research work about SLAs and architectures for implementing SLAs in Grid environments. However, this work is mostly related to SLAs for standard, monolithic Grid jobs and neglects the dependencies between different steps of operation. The complexity of an SLA-specification for workflows grows significantly, as characteristics of correlated sub-jobs, the data transfer phases, the deadline constraints and possible failures have to be considered. Thus, an architecture for an SLA-aware workflow implementation needs sophisticated mechanisms for specification and management, sub-job mapping, data transfer optimization and fault reaction. Therefore, this paper presents an architecture for SLA-aware Grid workflows. The main contributions are an improved specification language for SLA-aware workflows, a mapping and optimization algorithm for sub-job assignment to Grid resources and a prototype implementation using standard middleware. Experimental measurements prove the quality of the development.

scholarly journals Presenting a Reliable Routing Approach in IoT Healthcare Using the Multiobjective-Based Multiagent Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Saeed Javid ◽  
A. Mirzaei
Keyword(s):  
Multiobjective Optimization ◽  
Secure Communication ◽  
Information Transfer ◽  
Data Transfer ◽  
Vital Signs ◽  
Daily Routine ◽  
Optimization Approach ◽  
Healthcare Applications ◽  
Reliable Routing ◽  
Optimal Paths

Developments in information and related technologies have led to a wider use of the Internet of things (IoT). By integrating both virtual and physical worlds, IoT creates an integrated communication framework of interrelated things and operating systems. With the advent of IoT systems based on digital remote care, transferring medical data is becoming a daily routine. Healthcare is one of the most popular IoT applications and tries to monitor patients’ vital signs during the day for weeks and to eliminate the need for hospitalization. In a healthcare system, many sensors are installed to collect the patient’s information, including environmental monitoring sensors and vital and unstructured message sensors in order to reduce the patients’ expenses. The IoT network contains flexible sensors in dynamically changing environments where sensors collect environmental information and send it to nursing stations for healthcare applications. Due to the wireless nature of IoT networks, secure data transmission in the healthcare context is very important. Data collected from sensors embedded in healthcare devices may be lost for various reasons along the transmission path. Therefore, establishing a secure communication path in IoT networks in the context of healthcare is of great importance. In this paper, in order to provide a reliable data transfer protocol in the context of healthcare, a reliable routing using multiobjective genetic algorithm (RRMOGA) method is presented. The contribution of this paper can be summarized in two steps: (i) using a multiobjective optimization approach to find near-optimal paths and (ii) using reliable agents in the network to find backup paths. The simulation outcomes reveal that the proposed approach, based on the use of the multiobjective optimization approach, tries to find optimal paths for information transfer that improve the main parameters of the network. Also, the use of secure agents leads to a secure information transfer in the network in the context of healthcare. Experimental results show that the proposed method has achieved reliability and data delivery rates, 99% and 99.9%, respectively. The proposed method has improved network lifetime, delivery rate, and delay by 14%, 2%, and 5.6%, respectively.

Data Transmission Optimization Based on Memobus RTU Communication Protocol

2013 ◽  
Vol 443 ◽  
pp. 374-379
Author(s):  
Bing Dong
Keyword(s):  
Data Transmission ◽  
Functional Data ◽  
Data Transfer ◽  
Communication Protocol ◽  
Technical Problem ◽  
Response Speed ◽  
Data Block ◽  
System Response ◽  
Data Transfer Optimization ◽  
Message Format

The article introduces the constitution and message format of Memo bus RTU Communication Protocol, and provides a method for data transfer optimization through by the analysis of the communication protocol format. This method is fit on the inverter and controller which is based on the Memo bus RTU communication protocol and utilized theRS-485 port while the data being transported. By Considering this kind of inverter's distribution, this paper puts forward a method which is based on dividing by functional data block, able to sequence rankly criterion of the function data block, and able to transport date block divided by the function, thereby, this method decreases the redundancy enormously, elevates the system response speed, and solves the technical problem of controller PID output port's real time remote control to multiple inverters.

scholarly journals Application of a new integrated optimization approach in sheet hydroforming process

2018 ◽  
Vol 19 (3) ◽  
pp. 303
Author(s):  
Abbas Hashemi ◽  
Mohammad Hoseinpour Gollo ◽  
S.M. Hossein Seyedkashi
Keyword(s):  
Data Transfer ◽  
Parametric Design ◽  
Optimization Technique ◽  
Pressure Profile ◽  
Design Tool ◽  
Optimization Approach ◽  
Adaptive Optimization ◽  
Logic Control ◽  
Hydroforming Process ◽  
Reliable Design

The purpose of this study is to produce a desired hydroformed product under the optimal pressure profile. To achieve this purpose, a new adaptive optimization approach is proposed based on fuzzy logic control (FLC) integrated with simulated annealing (SA) optimization technique and ANSYS parametric design language (APDL). An intermediate MATLAB code was developed and used to manage data transfer automatically between FLC, SA and APDL, in which there would be no need for any interaction of user/designer during the optimization process execution. This method aims to find the optimal pressure loading profile, prevent wrinkling and necking failures, reduce unsuccessful iterations, and enhance convergence precision. This method is capable of adaptively changing the process parameters in order to reach the optimized values with higher accuracy in a more reasonable time. The results show a good agreement between the proposed optimization approach and experiments. The developed optimization approach is a practical and reliable design tool for industrial production of any symmetric shell cups using hydroforming process.

Sign in / Sign up

Export Citation Format

Share Document