Characteristics of multi-attribute resources/queries and implications on P2P resource discovery

Bandara, H. M. N. Dilum; Jayasumana, Anura P.

doi:10.1109/aiccsa.2011.6126602

Cited by 8 publications

(34 citation statements)

References 9 publications

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“…CoMon keeps track of ~1,000 nodes and 500-700 nodes are typically active at any given time instance. Though SETI@home has more than 300,000 active hosts [5], BOINC tracks only four dynamic attributes. Moreover, their temporal changes are not tracked.…”

Section: Node Model and Characteristicsmentioning

confidence: 99%

“…Thus, there is a wide variation in how frequently the attribute values change. It was realized that the rate of change in dynamic attribute values can be approximated using a GPD [5].…”

Section: A Node Modelmentioning

confidence: 99%

“…Characteristics of static attributes of nodes from SETI@home, one of the BOINC deployments, are presented in [4]. In [5], we present both the static and dynamic resource and query characteristics of PlanetLab [6] and SETI@home nodes. It was observed that attribute values are correlated [4][5], skewed [5], follow a mixture of probability distributions [4][5], and some of the dynamic attributes change frequently [5].…”

Section: Introductionmentioning

confidence: 99%

“…In [5], we present both the static and dynamic resource and query characteristics of PlanetLab [6] and SETI@home nodes. It was observed that attribute values are correlated [4][5], skewed [5], follow a mixture of probability distributions [4][5], and some of the dynamic attributes change frequently [5]. Based on the analysis of static attributes, [4] builds a forecasting model for Internet hosts while taking into account their marginal distributions, linear correlation, and time evolution of attributes (e.g., how does ratio between single core to multi-core processors changes with time).…”

Section: Introductionmentioning

confidence: 99%

“…Formal characterization of nodes and queries has received attention only recently [4][5]. Characteristics of static attributes of nodes from SETI@home, one of the BOINC deployments, are presented in [4].…”

Section: Introductionmentioning

confidence: 99%

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On Characteristics and Modeling of P2P Resources with Correlated Static and Dynamic Attributes

Bandara

Jayasumana

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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Abstract-Modeling and simulation of Peer-to-Peer (P2P) resources with correlated static and dynamic attributes is essential in application design, validation, and performance analysis. A novel mechanism is presented to generate realistic synthetic traces of multivariate static and dynamic attributes of P2P resources. The methodology is demonstrated using characteristics of PlanetLab node traces. First, a multi-attribute resource model is defined using a selected set of static and dynamic attributes. Second, characteristics of resources are presented. We observe that attribute values are correlated, follow a mixture of probability distributions, and time series of some of the dynamic attributes are nonstationary. Third, random vectors of static attributes are generated using empirical copulas that capture the entire dependence structure of multivariate distribution of attributes. Finally, time series of dynamic attributes are randomly drawn from a library of multivariate-time-series segments extracted from PlanetLab traces. These segments are identified by detecting the structural changes in time series corresponding to a selected attribute. Time series corresponding to rest of the attributes are split at the same breakpoints and randomly drawn together to preserve their contemporaneous correlation. Furthermore, a tool is developed to automate the synthetic data generation process and its output is validated using statistical tests.

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Section: Node Model and Characteristicsmentioning

confidence: 99%

“…Thus, there is a wide variation in how frequently the attribute values change. It was realized that the rate of change in dynamic attribute values can be approximated using a GPD [5].…”

Section: A Node Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On Characteristics and Modeling of P2P Resources with Correlated Static and Dynamic Attributes

Bandara

Jayasumana

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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Collaborative applications over peer-to-peer systems–challenges and solutions

Bandara

Jayasumana

2012

Peer-to-Peer Netw. Appl.

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Emerging collaborative Peer-to-Peer (P2P) systems require discovery and utilization of diverse, multiattribute, distributed, and dynamic groups of resources to achieve greater tasks beyond conventional file and processor cycle sharing. Collaborations involving application specific resources and dynamic quality of service goals are stressing current P2P architectures. Salient features and desirable characteristics of collaborative P2P systems are highlighted. Resource advertising, selecting, matching, and binding, the critical phases in these systems, and their associated challenges are reviewed using examples from distributed collaborative adaptive sensing systems, cloud computing, and mobile social networks. State-of-the-art resource discovery/aggregation solutions are compared with respect to their architecture, lookup overhead, load balancing, etc., to determine their ability to meet the goals and challenges of each critical phase. Incentives, trust, privacy, and security issues are also discussed, as they will ultimately determine the success of a collaborative P2P system. Open issues and research opportunities that are essential to achieve the true potential of collaborative P2P systems are discussed. The final publication is available at www.springerlink.com computing [6], based on underutilized computing resources in homes or businesses for example, targets issues such as centralized data, privacy, proprietary applications, and cascading failures in modern clouds. Certain applications also benefit from a mixture of dedicated and voluntary cloud resources [7][8]. A collaborative P2P system is the core of such a multi-site or community-cloud system that interconnects dedicated/voluntary resources while dealing with rapid scalability and resource fluctuations. We refer to such systems as P2P clouds. Third application, Global Environment for Network Innovations (GENI) [9], is a collaborative and exploratory platform for discoveries and innovation. GENI allows users to aggregate diverse resources (e.g., processing, networks, sensors, actuators, and software) from multiple administrative domains for a common task. A collaborative P2P system is a natural fit for GENI because of its distributed, dynamic, heterogeneous, and collaborative nature. Fourth, the value of social networks can be enhanced by allowing users to share diverse resources available in their mobile devices [2]. For example, a person with a basic mobile phone could connect to a friend's smart phone with GPS capability to locate a nearby ATM. In another example, a group sharing their holiday experiences in a coffee shop could use one member's projection phone to show pictures from others' mobiles/tablets or stream videos from their home servers. Moreover, in large social gatherings such as carnivals, sports events, or political rallies, users' mobile devices can be used to share hot deals, comments, videos, or vote for a certain resolution without relying on a network infrastructure. Such applications are already emerging under the domain of opport...

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