1,006 research outputs found
EGOIST: Overlay Routing Using Selfish Neighbor Selection
A foundational issue underlying many overlay network applications ranging from routing to P2P file sharing is that of connectivity management, i.e., folding new arrivals into an existing overlay, and re-wiring to cope with changing network conditions. Previous work has considered the problem from two perspectives: devising practical heuristics for specific applications designed to work well in real deployments, and providing abstractions for the underlying problem that are analytically tractable, especially via game-theoretic analysis. In this paper, we unify these two thrusts by using insights gleaned from novel, realistic theoretic models in the design of Egoist – a prototype overlay routing system that we implemented, deployed, and evaluated on PlanetLab. Using measurements on PlanetLab and trace-based simulations, we demonstrate that Egoist's neighbor selection primitives significantly outperform existing heuristics on a variety of performance metrics, including delay, available bandwidth, and node utilization. Moreover, we demonstrate that Egoist is competitive with an optimal, but unscalable full-mesh approach, remains highly effective under significant churn, is robust to cheating, and incurs minimal overhead. Finally, we discuss some of the potential benefits Egoist may offer to applications.National Science Foundation (CISE/CSR 0720604, ENG/EFRI 0735974, CISE/CNS 0524477, CNS/NeTS 0520166, CNS/ITR 0205294; CISE/EIA RI 0202067; CAREER 04446522); European Commission (RIDS-011923
Towards distributed architecture for collaborative cloud services in community networks
Internet and communication technologies have lowered the costs for communities to collaborate, leading to new services like user-generated content and social computing, and through collaboration, collectively built infrastructures like community networks have also emerged. Community networks get formed when individuals and local organisations from a geographic area team up to create and run a community-owned IP network to satisfy the community’s demand for ICT, such as facilitating Internet access and providing services of local interest.
The consolidation of today’s cloud technologies offers now the possibility of collectively built community clouds, building upon user-generated content and user-provided networks towards an ecosystem of cloud services. To address the limitation and enhance utility of community networks, we propose a collaborative distributed architecture for building a community cloud system that employs resources contributed by the members of the community network for provisioning infrastructure and software services. Such architecture needs to be tailored to the specific social, economic and technical characteristics of the community networks for community clouds to be successful and sustainable. By real deployments of clouds in community networks and evaluation of application performance, we show that community clouds are feasible. Our result may encourage collaborative innovative cloud-based services made possible with the resources of a community.Peer ReviewedPostprint (author’s final draft
Development of a system compliant with the Application-Layer Traffic Optimization Protocol
Dissertação de mestrado integrado em Engenharia InformáticaWith the ever-increasing Internet usage that is following the start of the new decade,
the need to optimize this world-scale network of computers becomes a big priority
in the technological sphere that has the number of users rising, as are the Quality of
Service (QoS) demands by applications in domains such as media streaming or virtual
reality.
In the face of rising traffic and stricter application demands, a better understand ing of how Internet Service Providers (ISPs) should manage their assets is needed. An
important concern regards to how applications utilize the underlying network infras tructure over which they reside. Most of these applications act with little regard for
ISP preferences, as exemplified by their lack of care in achieving traffic locality during
their operation, which would be a preferable feature for network administrators, and
that could also improve application performance. However, even a best-effort attempt
by applications to cooperate will hardly succeed if ISP policies aren’t clearly commu nicated to them. Therefore, a system to bridge layer interests has much potential in
helping achieve a mutually beneficial scenario.
The main focus of this thesis is the Application-Layer Traffic Optimization (ALTO) work ing group, which was formed by the Internet Engineering Task Force (IETF) to explore
standardizations for network information retrieval. This group specified a request response protocol where authoritative entities provide resources containing network
status information and administrative preferences. Sharing of infrastructural insight
is done with the intent of enabling a cooperative environment, between the network
overlay and underlay, during application operations, to obtain better infrastructural re sourcefulness and the consequential minimization of the associated operational costs.
This work gives an overview of the historical network tussle between applications
and service providers, presents the ALTO working group’s project as a solution, im plements an extended system built upon their ideas, and finally verifies the developed
system’s efficiency, in a simulation, when compared to classical alternatives.Com o acrescido uso da Internet que acompanha o inÃcio da nova década, a necessidade de otimizar esta rede global de computadores passa a ser uma grande prioridade
na esfera tecnológica que vê o seu número de utilizadores a aumentar, assim como a
exigência, por parte das aplicações, de novos padrões de Qualidade de Serviço (QoS),
como visto em domÃnios de transmissão de conteúdo multimédia em tempo real e em
experiências de realidade virtual.
Face ao aumento de tráfego e aos padrões de exigência aplicacional mais restritos, é
necessário melhor compreender como os fornecedores de serviços Internet (ISPs) devem
gerir os seus recursos. Um ponto fulcral é como aplicações utilizam os seus recursos
da rede, onde muitas destas não têm consideração pelas preferências dos ISPs, como
exemplificado pela sua falta de esforço em localizar tráfego, onde o contrário seria
preferÃvel por administradores de rede e teria potencial para melhorar o desempenho
aplicacional. Uma tentativa de melhor esforço, por parte das aplicações, em resolver
este problema, não será bem-sucedida se as preferências administrativas não forem
claramente comunicadas. Portanto, um sistema que sirva de ponte de comunicação
entre camadas pode potenciar um cenário mutuamente benéfico.
O foco principal desta tese é o grupo de trabalho Application-Layer Traffic Optimization (ALTO), que foi formado pelo Internet Engineering Task Force (IETF) para explorar
estandardizações para recolha de informação da rede. Este grupo especificou um protocolo onde entidades autoritárias disponibilizam recursos com informação de estado
de rede, e preferências administrativas. A partilha de conhecimento infraestrutural
é feita para possibilitar um ambiente cooperativo entre redes overlay e underlay, para
uma mais eficiente utilização de recursos e a consequente minimização de custos operacionais.
É pretendido dar uma visão da histórica disputa entre aplicações e ISPs, assim como
apresentar o projeto do grupo de trabalho ALTO como solução, implementar e melhorar sobre as suas ideias, e finalmente verificar a eficiência do sistema numa simulação,
quando comparado com alternativas clássicas
Determinants in the on-line distribution of digital content: an exploratory analysis
This article shows the phases – and discusses the results – of an empirical analysis addressing the legal
business models that are adopted online to distribute digital content
Enabling Social Applications via Decentralized Social Data Management
An unprecedented information wealth produced by online social networks,
further augmented by location/collocation data, is currently fragmented across
different proprietary services. Combined, it can accurately represent the
social world and enable novel socially-aware applications. We present
Prometheus, a socially-aware peer-to-peer service that collects social
information from multiple sources into a multigraph managed in a decentralized
fashion on user-contributed nodes, and exposes it through an interface
implementing non-trivial social inferences while complying with user-defined
access policies. Simulations and experiments on PlanetLab with emulated
application workloads show the system exhibits good end-to-end response time,
low communication overhead and resilience to malicious attacks.Comment: 27 pages, single ACM column, 9 figures, accepted in Special Issue of
Foundations of Social Computing, ACM Transactions on Internet Technolog
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