Analyzing and Utilizing the Collaboration Structure for Reliable Router-Level Networks

نویسندگان

  • Yu Nakata
  • Shin'ichi Arakawa
  • Masayuki Murata
چکیده

As the Internet represents a key social infrastructure, its reliability is essential if we are to survive failures. Physical connectivity of networks is also essential as it characterizes reliability. There are collaboration structures, which are topological structures where two or more nodes are connected to a node, and collaboration structures are observed in transcriptional regulatory networks and the router-level topologies of ISPs. These collaboration structures are related to the reliability of networks. The main objective of this research is to find whether an increase in collaboration structures would improve reliability or not. We first categorize the topology into a three-level hierarchy for this purpose, i.e., top-level, middle-level, and bottom-level layers. We then calculate the reliability of networks. The results indicate that the reliability of most transcriptional regulatory networks is higher than that of one of router-level topologies. We then investigate the number of collaboration structures. It is apparent that there are much fewer collaboration structures between top-level nodes and middle-level nodes in router-level topologies. Finally, we confirm that the reliability of router-level topologies can be improved by rewiring to increase the collaboration structures between top-level and middle-level nodes. key words: Network reliability, transcriptional regulatory network, router-level topology, collaboration structure, power-law network,

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

تحلیل و مصورسازی شبکه هم‌تألیفی دانشگاه‌های علوم پزشکی وابسته به وزارت بهداشت با استفاده از سنجه‌های تحلیل شبکه اجتماعی بر اساس داده‌های Web of Science

Background and Aim: Research in the medical field requires large budgets, specialist human resources and modern equipment and instruments. Scientific collaboration is a way to overcome such problems. Main goal of this study was analyzing scientific collaboration of universities of medical sciences in different aspects. Materials and Methods: In this research, by using scientometrics methods an...

متن کامل

Study of institutional Collaboration in the management Structure of the City Regions Case Study: Process of determining the city of Qazvin Growth boundaries.

This article is about the institutional collaboration in the management structure of a city-region. To achieve this purpose, corporate limits of Qazvin are studied as the city is becoming a region.  The possible institutional cooperative in the centralist governmental structure is planned based on the new regionalism theory and its governance pattern, new institutionalism theory and its emphas...

متن کامل

A Review of Optical Routers in Photonic Networks-on-Chip: A Literature Survey

Due to the increasing growth of processing cores in complex computational systems, all the connection converted bottleneck for all systems. With the protection of progressing and constructing complex photonic connection on chip, optical data transmission is the best choice for replacing with electrical interconnection for the reason of gathering connection with a high bandwidth and insertion lo...

متن کامل

Analyzing the Collaboration Network of Global Scientific Outputs in the Field of Bibliotherapy in the Web of Science Database

Background and Aim: Bibliotherapy is a useful treatment for the prevention and treatment of mental disorders and has led to the formation of many scientific publications in this field. The purpose of this study was to investigate the publication trends in the field of bibliotherapy and visualize the structure of its scientific collaborations based on the Web of Science database during the perio...

متن کامل

An Introduction to Inference and Learning in Bayesian Networks

Bayesian networks (BNs) are modern tools for modeling phenomena in dynamic and static systems and are used in different subjects such as disease diagnosis, weather forecasting, decision making and clustering. A BN is a graphical-probabilistic model which represents causal relations among random variables and consists of a directed acyclic graph and a set of conditional probabilities. Structure...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • IEICE Transactions

دوره 95-B  شماره 

صفحات  -

تاریخ انتشار 2012