scholarly journals DecSerFlow: Towards a Truly Declarative Service Flow Language

2006 ◽  
pp. 1-23 ◽  
Author(s):  
W. M. P. van der Aalst ◽  
M. Pesic
Keyword(s):  
Service Flow

Pegaruh Saluran Distribusi Terhadap Volume Penjualan (Studi Pada Pt Graha Kerindo Utama Kediri)

2016 ◽  
Vol 9 (1) ◽  
pp. 4
Author(s):  
Nurul Farida
Keyword(s):  
Service Flow

In streamlining of product and service flow from produsers toconsumers one of the most important or should not be ignored isdistribution, in an effort to reach the purpose and target of company inmarketing every companies do distribution. The main purpose of companyin essence is same, that is increasing the volume of sale so the provit willbe increasing without ignoring consumers satisfaction.This research usingthe quantitavestatistics with “Analis Korelasi Sederhana” often called“Korelasi Pearson (Person Product Moment), it purpose for knowing theeffect of distribution on volume of sales. Based on the result obtained bycorrelation r= 0,987 and do experiment of “t” with the result tb=19.42 so itcan be concluded based on t tabe, t greater than t in table a= 1% (19.42 >3,169), so Ho was rejected. It mean between distribution with volume ofsales is very influential and significant.

scholarly journals Towards ecosystem accounting: a comprehensive approach to modelling multiple hydrological ecosystem services

2015 ◽  
Vol 12 (3) ◽  
pp. 3477-3526 ◽  
Author(s):  
C. Duku ◽  
H. Rathjens ◽  
S. J. Zwart ◽  
L. Hein
Keyword(s):  
Ecosystem Services ◽  
Assessment Tool ◽  
Statistical Tests ◽  
Relevant Information ◽  
Mathematical Representation ◽  
Service Capacity ◽  
Service Flow ◽  
Ecosystem Accounting ◽  
Key Issues ◽  
Set Up

Abstract. Ecosystem accounting is an emerging field that aims to provide a consistent approach to analysing environment-economy interactions. In spite of the progress made in mapping and quantifying hydrological ecosystem services, several key issues must be addressed if ecohydrological modelling approaches are to be aligned with ecosystem accounting. They include modelling hydrological ecosystem services with adequate spatiotemporal detail and accuracy at aggregated scales to support ecosystem accounting, distinguishing between service capacity and service flow, and linking ecohydrological processes to the supply of dependent hydrological ecosystem services. We present a spatially explicit approach, which is consistent with ecosystem accounting, for mapping and quantifying service capacity and service flow of multiple hydrological ecosystem services. A grid-based setup of a modified Soil Water and Assessment Tool (SWAT), SWAT Landscape, is first used to simulate the watershed ecohydrology. Model outputs are then post-processed to map and quantify hydrological ecosystem services and to set up biophysical ecosystem accounts. Trend analysis statistical tests are conducted on service capacity accounts to track changes in the potential to provide service flows. Ecohydrological modelling to support ecosystem accounting requires appropriate decisions regarding model process inclusion, physical and mathematical representation, spatial heterogeneity, temporal resolution, and model accuracy. We demonstrate this approach in the Upper Ouémé watershed in Benin. Our analyses show that integrating hydrological ecosystem services in an ecosystem accounting framework provides relevant information on ecosystems and hydrological ecosystem services at appropriate scales suitable for decision-making. Our analyses further identify priority areas important for maintaining hydrological ecosystem services as well as trends in hydrological ecosystem services supply over time.

A Multi-Aspect Modeling Method for Service Flow Simulation Using Scene Transition Nets (STNs)

2012 ◽  
Author(s):  
Takeshi Tateyama ◽  
Satoshi Mikoshiba ◽  
Koji Kimita ◽  
Kentaro Watanabe ◽  
Ryosuke Chiba ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Flow Simulation ◽  
Simulation Method ◽  
Modeling Method ◽  
Nursing Service ◽  
Service Flow ◽  
Academic Field ◽  
Service Engineering ◽  
Field Service ◽  
Graphic Modeling

Recently, a new academic field, “service engineering” has been very actively investigated. However, there are few effective methods and tools to simulate and evaluate services designed based on the concept of service engineering. In the past, the authors proposed a service flow simulation method using scene transition nets (STN) which is a graphic modeling and simulation method for discrete-continuous hybrid systems. However, this method does not consider how to model and simulate complex service flows including multiple layered, parallel, and interrupted structures and it is difficult to construct STN models of such complex systems using the existing STN concepts. In this paper, the authors propose a new STN modeling method using “multi-aspect STN modeling “ concepts in order to provide easy methods for modeling of such complex services. The experimental results for the modeling and simulation of a nursing service demonstrate the effectiveness of the proposed method.

scholarly journals An Efficient Network Resource Management in SDN for Cloud Services

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1556
Author(s):  
Myunghoon Jeon ◽  
Namgi Kim ◽  
Yehoon Jang ◽  
Byoung-Dai Lee
Keyword(s):  
Cloud Services ◽  
Computing Technology ◽  
Network Efficiency ◽  
Network Resources ◽  
Network Resource ◽  
Service Flow ◽  
Network Utilization ◽  
Network Resource Management ◽  
Flow Information

With the recent advancements in cloud computing technology, the number of cloud-based services has been gradually increasing. Symmetrically, users are asking for quality of experience (QoE) to be maintained or improved. To do this, it has become necessary to manage network resources more efficiently inside the cloud. Many theoretical studies for improving the users’ QoE have been proposed. However, there are few practical solutions due to the lack of symmetry between implementation and theoretical researches. Hence, in this study, we propose a ranking table-based network resource allocation method that dynamically allocates network resources per service flow based on flow information periodically collected from a software defined network (SDN). It dynamically identifies the size of the data transmission for each service flow on the SDN and differentially allocates network resources to each service flow based on this size. As a result, it maintains the maximum QoE for the user by increasing the network utilization. The experimental results show that the proposed method achieves 29.4% higher network efficiency than the general Open Shortest Path First (OSPF) method on average.

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