Self-scaling cooperative discovery of service compositions in unstructured P2P networks

Furno, Angelo; Zimeo, Eugenio

doi:10.1016/j.jpdc.2014.06.006

Cited by 19 publications

(12 citation statements)

References 40 publications

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“…The solutions based on CoAP, MQTT, SOAP-WS or REST [17][15] need further components to provide the functionalities of distributed service discovery [18] [19] [20] , fault tolerance [21] and resource protection [22]. Moreover, these IoT protocols use the underlying IP network layer, assuming the availability of such a layer for each link-layer protocol.…”

Section: R a F Tmentioning

confidence: 99%

A novel JXTA-based architecture for implementing heterogenous Networks of Things

Battaglia¹,

Bello²

2018

Computer Communications

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This paper presents EmbJXTAChord, a novel peer-to-peer (P2P) architecture that integrates the good features of different sources, such as JXTA, EXI, CoAP, combining and augmenting them to provide a framework that is specifically devised for developing IoT applications over heterogeneous networks.EmbJXTAChord provides for several interesting properties, such as, distributed and fault-tolerant resource discovery, transparent routing over subnetworks, application protocol independence from the transport protocol in narrowband Wireless Sensor Networks, thus eliminating the need for using dedicated software or configuring custom gateways to achieve these functionalities.Moreover, EmbJXTAChord offers native support not only for TCP/HTTP, but also for Bluetooth RFCOMM and 6LoWPAN, thus opening to a broad range of IoT devices in supernetworks composed of networks using different interconnection technologies, not necessarily IP-based. In addition, EmbJXTAChord offers security over heterogeneous networks providing support for secure peergroups (even nested) and for group encryption, thus allowing for unicast and multicast communication between groups of objects sharing the same resources. The users of the proposed architecture will benefit from an integrated solution and the applications developed on the proposed framework will be able to reconfigure themselves, adapting automatically to the network topology of the execution environment.Finally, EmbJXTAChord provides jxCOAP-E, a new CoAP implementation that leverages on the transport mechanisms for heterogeneous networks offered by EmbJX-TAChord. jxCOAP-E enables to realize a RESTful service architecture for peer-topeer narrowband or broadband networks composed of devices connected via Ethernet, Bluetooth, BLE or IEEE 802.15.4. Differently from CoAP, jxCOAP-E provides a distributed and fault-tolerant service discovery mechanism and support for secure multicast communications. The paper presents EmbJXTAChord, discusses all the relevant design challenges and presents a comparative experimental performance assessment with state-of-the-art solutions on commercial-off-the-shelf devices.Note:This is a preprint version of an Elsevier accepted paper. The formal version of the work is available at https://doi.

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Section: R a F Tmentioning

confidence: 99%

A novel JXTA-based architecture for implementing heterogenous Networks of Things

Battaglia¹,

Bello²

2018

Computer Communications

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“…Random-walk is a common query forwarding method, which is originally proposed in the literature to alleviate the excessive traffic problem caused by flooding [44], and to deal with the traffic/coverage trade-off. Random-walk is used in many distributed resource discovery applications such as Gnutella [45,46], Iamnitchi et al [42] and [47][48][49][50][51].…”

Section: Comparison With Different Proposalsmentioning

confidence: 99%

HARD: Hybrid Adaptive Resource Discovery for Jungle Computing

Zarrin

Aguiar

Barraca

2017

Journal of Network and Computer Applications

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractIn recent years, Jungle Computing has emerged as a distributed computing paradigm based on simultaneous combination of various hierarchical and distributed computing environments which are composed by large number of heterogeneous resources. In such a computing environment, the resources and the underlying computation and communication infrastructures are highly-hierarchical and heterogeneous. This creates a lot of difficulty and complexity for finding the proper resources in a precise way in order to run a particular job on the system efficiently. This paper proposes Hybrid Adaptive Resource Discovery (HARD), a novel efficient and highly scalable resource-discovery approach which is built upon a virtual hierarchical overlay based on self-organization and self-adaptation of processing resources in the system, where the computing resources are organized into distributed hierarchies according to a proposed hierarchical multi-layered resource description model. The proposed approach supports distributed query processing within and across hierarchical layers by deploying various distributed resource discovery services and functionalities in the system which are implemented using different adapted algorithms and mechanisms in each level of hierarchy. The proposed approach addresses the requirements for resource discovery in Jungle Computing environments such as high-hierarchy, high-heterogeneity, high-scalability and dynamicity. Simulation results show significant scalability and efficiency of the proposed approach over highly heterogeneous, hierarchical and dynamic computing environments.Keywords: distributed operation systems, many-core systems, P2P, resource management, grid computing, DHT

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“…Random-walk is a common query-forwarding method which is originally proposed in the literature to alleviate the excessive traffic problem caused by flooding [86] and to deal with the traffic/coverage trade-off. Random-walk is used in many distributed resource discovery applications such as Gnutella [87,88], Iamnitchi et al [84] and [89][90][91][92][93]. Broad-Walk is a hybrid two layered approach which uses broadcast-based query propagation method [94,95] in the leaf-node layer and the random-walk forwarding in the aggregate-node layer.…”

Section: Scalability and Resource Discoverymentioning

confidence: 99%

ElCore: Dynamic elastic resource management and discovery for future large-scale manycore enabled distributed systems

Zarrin

Aguiar

Barraca

2016

Microprocessors and Microsystems

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The next generation of many-core enabled large-scale computing systems relies on thousands of billions of heterogeneous processing cores connected to form a single computing unit. In such large-scale computing environments, resource management is one of the most challenging, and complex issues for efficient resource sharing and utilization, particularly as we move toward Future ManyCore Systems (FMCS). This work proposes a novel resource management scheme for future peta-scale many-core-enabled computing systems, based on hybrid adaptive resource discovery, called ElCore. The proposed architecture contains a set of modules which will dynamically be instantiated on the nodes in the distributed system on demand. Our approach provides flexibility to allocate the required set of resources for various types of processes/applications. It can also be considered as a generic solution (with respect to the general requirements of large scale computing environments) which brings a set of interesting features (such as auto-scaling, multitenancy, multi-dimensional mapping, etc,.) to facilitate its easy adaptation to any distributed technology (such as SOA, Grid and HPC many-core). The achieved evaluation results assured the significant scalability and the high-quality resource mapping of the proposed resource discovery and management over highly heterogeneous, hierarchical and dynamic computing environments with respect to several scalability and efficiency aspects while supporting flexible and complex queries with guaranteed discovery results accuracy. The simulation results prove that, using our approach, the mapping between processes and resources can be done with high level of accuracy which potentially leads to a significant enhancement in the overall system performance.

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Self-scaling cooperative discovery of service compositions in unstructured P2P networks

Cited by 19 publications

References 40 publications

A novel JXTA-based architecture for implementing heterogenous Networks of Things

A novel JXTA-based architecture for implementing heterogenous Networks of Things

HARD: Hybrid Adaptive Resource Discovery for Jungle Computing

ElCore: Dynamic elastic resource management and discovery for future large-scale manycore enabled distributed systems

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