Simulator
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The document describes a query-cycle simulator for simulating peer-to-peer (P2P) networks. The simulator models properties of peers, including content, network parameters, and behavior over successive query cycles. Peer content is modeled by assigning files and interests according to observed distributions. Network parameters like topology and bandwidth are also modeled. Peer behavior, such as query generation and responses, is simulated over query cycles based on models derived from measurements of real P2P systems. The simulator aims to accurately model key aspects of P2P networks to enable testing and comparison of P2P algorithms on a standard platform.
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![[object Object],[object Object],[object Object],[object Object],Problem For each peer i { -Repeat until convergence { - Compute . . . - Send . . . } }](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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The increasing interest in Peer-to-Peer systems (such as Gnutella) has inspired many research activities
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Peer-to-Peer system is highly dependent on the underlying network characteristics, much of the
evaluation of Peer-to-Peer proposals has used simplified models that fail to include a detailed model of
the underlying network. This can be largely attributed to the complexity in experimenting with a scalable
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Different methods proposed routing strategies of queries taking into account the P2P network at hand.
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predictive model that avoids flooding queries in the P2P network is constructed after predicting the
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implemented, groups together (Super-)Peers that have similar interests for an efficient query routing
method. In such groups, called Super-Super-Peers (SSP), Super-Peers submit queries that are often
processed by members of this group. A SSP is a specific Super-Peer which contains knowledge about: 1.
its Super-Peers and 2. The other SSP. Knowledge is extracted by using data mining techniques (e.g.
Decision Tree algorithms) starting from queries of peers that transit on the network. The advantage of
this distributed knowledge is that, it avoids making semantic mapping between heterogeneous data
sources owned by (Super-)Peers, each time the system decides to route query to other (Super-) Peers.
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Old No 251, New No 304,
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that are connected to Super-Super-Peer according to their semantic domains; in addition to integrating
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of peers where one among them is able to answer the given query. By analyzing the queries log file, a
predictive model that avoids flooding queries in the P2P network is constructed after predicting the
appropriate Super-Peer, and hence the peer to answer the query. A challenging problem in a schemabased Peer-to-Peer (P2P) system is how to locate peers that are relevant to a given query. In this paper,
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processed by members of this group. A SSP is a specific Super-Peer which contains knowledge about: 1.
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Peer to peer (P2P) computing involves direct sharing of resources and services between systems without centralized control or servers. P2P systems can be either pure, with no central server and peers communicating directly, or hybrid with a centralized server for name resolution but direct peer-to-peer communication. P2P is commonly used for applications that involve parallelizable or componentized tasks, content/file sharing, and collaboration where users can interact and edit shared information.
IEEE CCNC 2011: Kalman Graffi - LifeSocial.KOM: A Secure and P2P-based Soluti...
The phenomenon of online social networks reaches millions of users in the Internet nowadays. In these, users present themselves, their interests and their social links which they use to interact with other users. We present in this paper LifeSocial.KOM, a p2p-based platform for secure online social networks which provides the functionality of common online social networks in a totally distributed and secure manner. It is plugin-based, thus extendible in its functionality, providing secure communication and access-controlled storage as well as monitored quality of service, addressing the needs of both, users and system providers. The platform operates solely on the resources of the users, eliminating the concentration of crucial operational costs for one provider. In a testbed evaluation, we show the feasibility of the approach and point out the potential of the p2p paradigm in the field of online social networks.
ACM NOTERE 2008 - Kalman Graffi - From Cells to Organisms - Long-Term Guarant...
The peer-to-peer paradigm gained more and more impact in the last years. The reason for P2P arising now is related to the continuous development of device capabilities in the last years, like CPU power, storage space and bandwidth. However, the demand for services and resources is permanently increasing, although the peers have a variety of other resources themselves. In this paper we present the idea of a P2P system acting as a service provider using the resources of participating peers and stating guarantees on the quality of the service it provides. In order to fulfill these service level agreements, the peers confederate to a distributed supervisor of peer resources (P2PCLOUD), monitoring the network, predicting trends on resource availabilities and deciding on resource allocation strategies. This paper discusses the challenges and a solution draft of the concept of P2PCLOUD.
Preclusion Measures for Protecting P2P Networks from Malware Spread
The document presents a compartmental model for characterizing the spread of malware in peer-to-peer (P2P) networks like Gnutella. The model partitions peers into compartments based on their state - those wishing to download (S), currently downloading (E), having downloaded (I), and no longer interested (R). Differential equations track changes between compartments over time. Simulation results show the model effectively captures the impact of parameters like quarantine rate on malware intensity. The model accounts for realistic peer behaviors like transitioning between online/offline states.
Bx32903907
This document summarizes a research paper on topologies in unstructured peer-to-peer networks. The paper proposes a novel overlay formation algorithm that aims to improve search efficiency and effectiveness in unstructured P2P networks. The algorithm exploits peer similarity by connecting each peer to other most similar peers, aiming to satisfy properties of high clustering and low diameter. It also aims for searches to progressively route through peers similar to the destination peer. Simulation results show the algorithm outperforms other approaches in terms of query hop count, successful query ratio, overhead for resolving queries, and overhead of maintaining the network. Future work could investigate the impact of peer heterogeneity on the algorithm.
Kalman Graffi - IEEE NetSys 2013 - Adding Capacity-Aware Storage Indirection ...
Kalman Graffi - IEEE NetSys 2013 - Adding Capacity-Aware Storage Indirection to Homogeneous Distributed Hash Tables
IEEE 2014 DOTNET NETWORKING PROJECTS Leveraging social networks for p2 p cont...
IEEE 2014 DOTNET NETWORKING PROJECTS Leveraging social networks for p2 p cont...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org2014 IEEE DOTNET NETWORKING PROJECT Leveraging social networks for p2 p conte...
2014 IEEE DOTNET NETWORKING PROJECT Leveraging social networks for p2 p conte...IEEEFINALSEMSTUDENTSPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.orgPPT
The authors propose a machine learning-based approach for estimating available bandwidth using network simulations. They train models on probing data collected from simulated network scenarios and evaluate their ability to estimate available bandwidth for unseen test data. Their pathChirp-like probing model outperforms a packet train model and existing tools. By normalizing attributes, their approach can accurately estimate bandwidth even without similar training samples.
Using content and interactions for discovering communities in
1. The document proposes methods for discovering communities in social networks using content and interactions by modeling communities based on discussed topics and social connections between users. This allows discovering both user interests and popular topics within each community.
2. Bayesian models are used to extract latent communities from the network, assuming community relationships depend on user interests in topics and their links. Different models are proposed to handle different network structures like broadcast vs conversation networks.
3. The models aim to utilize both content and link information to discover communities in incomplete social networks with missing link information. A distance metric is learned using observed links and used for hierarchical clustering.
2006-05-25__coi-semdis
The document summarizes experiences building a semantic web application to detect conflicts of interest using FOAF and DBLP data. It involved multiple steps: obtaining and preparing data; representing entities and relationships in an ontology; querying the data using semantic associations to determine COI levels; visualizing results; and evaluating based on a conference review dataset. The system was able to detect indirect COI relationships that syntactic matching would miss.
Kalman Graffi - IEEE ICC 2013 - Symbiotic Coupling of Peer-to-Peer and Cloud ...
Kalman Graffi - IEEE ICC 2013 - Symbiotic Coupling of Peer-to-Peer and Cloud Systems: The Wikipedia Case
IEEE 2014 JAVA DATA MINING PROJECTS Multi comm finding community structure in...
IEEE 2014 JAVA DATA MINING PROJECTS Multi comm finding community structure in...IEEEFINALYEARSTUDENTPROJECTS
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2014 IEEE JAVA DATA MINING PROJECT Multi comm finding community structure in ...IEEEMEMTECHSTUDENTSPROJECTS
The document proposes a framework called MultiComm to identify communities in multi-dimensional networks. MultiComm evaluates the affinity between items in the same or different dimensions to generate communities from seed items. It calculates visit probabilities for each item in each dimension and compares the values. Experiments on synthetic and real-world data suggest MultiComm can effectively find communities in multi-dimensional networks and outperforms other algorithms in accuracy. The framework is intended to discover related groups of users, authors, or other entities interacting across multiple network dimensions like tags, photos, and comments.Iaetsd similarity search in information networks using
The document proposes a novel meta-path based similarity measure called PathSim to find similar peer objects in heterogeneous information networks. PathSim captures peer similarity by measuring how strongly connected two objects are as well as how comparable their visibility is in the network. An efficient algorithm is also introduced to support online top-k queries for meta-path based similarity search using partial materialization and co-clustering based pruning. Experimental results on bibliographic networks extracted from DBLP and Flickr demonstrate the effectiveness of PathSim and efficiency of the proposed algorithms.
The swings and roundabouts of a decade of fun and games with Research Objects
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OSFair2017 Workshop | How FAIR friendly is the FAIRDOM Hub? Exposing metadata...
Carole Goble presents the FAIRDOM | OSFair2017 Workshop
Workshop title: How FAIR friendly is your data catalogue?
Workshop overview:
This workshop will build upon the work planned by the EOSCpilot data interoperability task and the BlueBridge workshop held on April 3 at the RDA meeting. We will investigate common mechanisms for interoperation of data catalogues that preserve established community standards, norms and resources, while simplifying the process of being/becoming FAIR. Can we have a simple interoperability architecture based on a common set of metadata types? What are the minimum metadata requirements to expose FAIR data to EOSC services and EOSC users?
DAY 3 - PARALLEL SESSION 6 & 7
IMPLIMENTATION ON DISTRIBUTED COOPERATIVE CACHING IN SOCIAL WIRELESS NETWORK ...
IMPLIMENTATION ON DISTRIBUTED COOPERATIVE CACHING IN SOCIAL WIRELESS NETWORK ...International Journal of Technical Research & Application
This paper introduces co-operative caching
policies for reducing electronic content provisioning cost in
Social Wireless Networks (SWNET). SWNET are formed by
mobile devices such as laptops, modern cell phones etc. sharing
common electronic contents, data and actually gathering in
public places like college campus, mall etc. Electronic object
caching in such SWNET are shown to be able to minimize the
content provisioning cost which mainly depend on service and
pricing dependencies between various stakeholders including
content provider(CP), network service provider, end
consumer(EC). This paper introduces practical network service
and pricing model which are used for creating two object
caching strategies for minimizing provisioning cost in networks
which are homogeneous and heterogeneous object demand. The
paper develops analytical and simulation design for analyzing
the proposed caching strategies in the presence of selfish user
that deviates from networks-wide cost-optimal policies.NS-CUK Seminar: H.B.Kim, Review on "metapath2vec: Scalable representation le...
NS-CUK Seminar: H.B.Kim, Review on "metapath2vec: Scalable representation learning for heterogeneous networks", KDD 2017
Leveraging social networks for p2 p content based file sharing in disconnecte...
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
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Simulator
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- 14. Recap on Content Assignment Assign Data Volume
- 15. Recap on Content Assignment {c1, c3, c4} Assign Content Categories
- 16. Recap on Content Assignment {c1=.5, c3=.3, c4=.2} Assign Interest Level to Content Categories
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