Application-Triggered Automatic Distributed Cloud/Network Resource Coordination by Optically Networked Inter/Intra Data Center [Invited]

2018 ◽  
Vol 10 (7) ◽  
pp. B15 ◽  
Author(s):  
Naoaki Yamanaka ◽  
Satoru Okamoto ◽  
Masayuki Hirono ◽  
Yukihiro Imakiire ◽  
Wataru Muro ◽  
...  
Keyword(s):  
Data Center ◽  
Network Resource ◽  
Cloud Network ◽  
Distributed Cloud ◽  
Resource Coordination

scholarly journals Load Balance in Data Center SDN Networks

2018 ◽  
Vol 8 (5) ◽  
pp. 3084 ◽  
Author(s):  
Tariq Emad Ali ◽  
Ameer Hussein Morad ◽  
Mohammed A. Abdala
Keyword(s):  
Load Balancing ◽  
Data Center ◽  
Network Architecture ◽  
Current Data ◽  
Traffic Load ◽  
Network Architectures ◽  
Data Center Networks ◽  
Network Resources ◽  
Cloud Network ◽  
And Storage

<span>In the last two decades, networks had been changed according to the rapid changing in its requirements.  The current Data Center Networks have large number of hosts (tens or thousands) with special needs of bandwidth as the cloud network and the multimedia content computing is increased. The conventional Data Center Networks (DCNs) are highlighted by the increased number of users and bandwidth requirements which in turn have many implementation limitations.  The current networking devices with its control and forwarding planes coupling result in network architectures are not suitable for dynamic computing and storage needs.  Software Defined networking (SDN) is introduced to change this notion of traditional networks by decoupling control and forwarding planes. So, due to the rapid increase in the number of applications, websites, storage space, and some of the network resources are being underutilized due to static routing mechanisms. To overcome these limitations, a Software Defined Network based Openflow Data Center network architecture is used to obtain better performance parameters and implementing traffic load balancing function. The load balancing distributes the traffic requests over the connected servers, to diminish network congestions, and reduce underutilization problem of servers. As a result, SDN is developed to afford more effective configuration, enhanced performance, and more flexibility to deal with huge network designs</span>

scholarly journals Resource Aware Chaining and Adaptive Capacity Scaling for Service Function Chains in Distributed Cloud Network

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 157707-157723
Author(s):  
Jiachen Zu ◽  
Guyu Hu ◽  
Yang Wu ◽  
Dongsheng Shao ◽  
Jiajie Yan
Keyword(s):  
Adaptive Capacity ◽  
Service Function ◽  
Capacity Scaling ◽  
Resource Aware ◽  
Cloud Network ◽  
Distributed Cloud

Study on Index System of Enterprise Network Resource Coordination Maturity Evaluation

2012 ◽  
Vol 220-223 ◽  
pp. 3045-3048
Author(s):  
Jian Fen Yan
Keyword(s):  
Corporate Culture ◽  
Index System ◽  
Resource Sharing ◽  
Coordination Mechanism ◽  
Network Behavior ◽  
Network Resource ◽  
Enterprise Network ◽  
Four Dimensions ◽  
Coordination Costs ◽  
Resource Coordination

Coordination effect among enterprise network behavior subjects could be evaluated by coordination maturity. Maturity model of enterprise network resource coordination includes four dimensions: the coordination cost, coordination process, coordination method as well as the ability to learn. According to the level of the four dimensions, they can be divided into four levels: the initial level, aggregate level, standard level and optimization level. The scientific evaluation of enterprise network resource coordination maturity, can let the enterprise network behavior subjects understand the condition of resources coordination in their network, thereby improve the degree of network resource coordination, improve and perfect coordination mechanism. Therefore, this text has established the enterprise network resource coordinate maturity index system, which includes six first level indexes and second level indexes. The first level indexes include coordination costs, exchange of information, intelligence resource sharing degree, corporate culture synergy degree, smooth communication and problem solving ability for coordination subjects to the feedback.

Research on Network Learning Mechanism of Enterprise Network Resource Coordination

2013 ◽  
Vol 397-400 ◽  
pp. 2557-2560
Author(s):  
Yong Gui Shi ◽  
Yan Tao Song ◽  
Shi Meng Ma ◽  
Jian Fen Yan
Keyword(s):  
Adaptive System ◽  
Complex Adaptive System ◽  
Credit Assignment ◽  
Network Resource ◽  
Enterprise Network ◽  
Learning Mechanism ◽  
Network Learning ◽  
Complex Adaptive ◽  
Two Stages ◽  
Resource Coordination

Enterprise network belongs to complex adaptive system. The coordination of enterprise network resource refers to the rules that enterprise network members are able to comply with and unity action in order to achieve the expected goal. The rules mainly include opportunity discovery mechanism, communication mechanism, strategy consultation mechanism and the network learning mechanism. Network learning in the process of enterprise network resource coordination is in order to achieve sustainable development the behavior subject in the network would access to network resource in a larger limit, actively adjust itself to accommodate the other behavior subjects, and commonly adjust the network resource coordination rules to adapt to external environment. Therefore, network learning mechanism in the process of enterprises network resource coordination is the study of the summary of experience and lesson to the coordinated activity afterwards of the network behavior subjects, through summing up, modify, perfect and discover the new rules. It can divide into two stages: credit assignment stage and new rules discovery stage.

Research on Evaluation Model of Enterprise Network Resource Coordination

2012 ◽  
Vol 482-484 ◽  
pp. 1995-1998 ◽  
Author(s):  
Yong Gui Shi
Keyword(s):  
Evaluation Model ◽  
Coordination Mechanism ◽  
Learning Ability ◽  
Maturity Model ◽  
Network Resource ◽  
Enterprise Network ◽  
Research On Evaluation ◽  
Coordination Costs ◽  
Four Levels ◽  
Resource Coordination

The coordination mechanism of enterprise network resource refers to the rules which the enterprise network members are able to comply with and unity action in order to achieve the expected goal. The rules mainly include: opportunity discovery mechanism, communication mechanism, strategy consultation mechanism and the learning mechanism of enterprise network, as well as the evaluation of coordination effect. The aim of constructing maturity model of enterprise network resource coordination is to make the agent of enterprise network understand the situation of network resources, and provide path description for improving coordination of network source, improving coordination mechanism. Maturity model of enterprise network resource coordination should be considered in four dimensionalities: coordination costs, coordination process, coordination method and learning ability. According to the dimensionality level or quality, enterprises network source coordinated maturity model may divided into four levels: the initial level, polymer level, standard level and optimization level.

scholarly journals Empowering Client Android Applications on Distributed Cloud Servers in Data Center

2019 ◽  
Vol 8 (2) ◽  
pp. 1703-1705
Keyword(s):  
User Experience ◽  
Data Center ◽  
Computing Environment ◽  
Mobile Data ◽  
Data Usage ◽  
Cloud Server ◽  
Android Applications ◽  
Cloud Servers ◽  
Distributed Cloud ◽  
Wireless Mobile

The advancement of technical knowhow in wireless mobile phone clients and their inceptions from cloud server, have been implemented as versatile applications that utilize an optimal user experience. By using fabrication components in the user domain, we have yet to instill peripheral interfaces such us CPUs, memory and batteries in to achieving a personal computer machine usage in android devices. To empower the user interface as deployed in android applications, we must design a distributed computing environment that can be deployed in cloud servers. This thin client distributed architecture needs to be effective in ensuring a efficient android user experience . To resolve delays and latency from asynchronous mobile data usage, an effective deployment design must be implemented in mobilemobile environment, that uses Tcp/Ip packets in transferring from routable mobile switching server

Research on Communication Mechanism of Enterprise Network Resource Coordination

2012 ◽  
Vol 220-223 ◽  
pp. 237-240
Author(s):  
Yong Gui Shi ◽  
Jian Fen Yan ◽  
Hai Xia Li
Keyword(s):  
Influence Factors ◽  
Coordination Mechanism ◽  
Network Resource ◽  
Enterprise Network ◽  
Basic Premise ◽  
Communication Mechanism ◽  
Coordination Process ◽  
Coordination Effect ◽  
Core Enterprise ◽  
Resource Coordination

The coordination mechanism of enterprise network resource refers to the rules which the enterprise network members are able to comply with and unity action in order to achieve the expected goal. The rules mainly include: opportunity discovery mechanism, communication mechanism, strategy consultation mechanism and the learning mechanism of enterprise network, as well as the evaluation of coordination effect. Communication is the basic premise of coordination. According to the types of enterprise network, there are mainly three kinds of basic types in enterprise network communication, which is communication based on the core enterprise, communication without core enterprise and Communication of chain. Communication in the enterprise network resource coordination process refers to the transmission and exchange of activities knowledge and information among the behavior subjects in order to realize the goal of sharing resource. Influence factors of communication in enterprise network resource coordination include the number of communication subjects, the type of communication ways, communication language, culture and roles.

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