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Gossip-based service monitoring platform for wireless edge cloud computing

Gossip-based service monitoring platform for wireless edge c...

引用

IEEE international conference on networking, Sensing and Control

作者： Nuno Apolónia Felix Freitag Leandro Navarro Sarunas Girdzijauskas Vladimir Vlassov Universitat Politècnica de Catalunya Barcelona Spain KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781509044306

Edge cloud computing proposes to support shared services, by using the infrastructure at the network's edge. An important problem is the monitoring and management of services across the edge environment. therefore, dissemination and gathering of data is not straightforward, differing from the classic cloud infrastructure. In this paper, we consider the environment of community networks for edge cloud computing, in which the monitoring of cloud services is required. We propose a monitoring platform to collect near real-time data about the services offered in the community network using a gossip-enabled network. We analyze and apply this gossip-enabled network to perform service discovery and information sharing, enabling data dissemination among the community. We implemented our solution as a prototype and used it for collecting service monitoring data from the real operational community network cloud, as a feasible deployment of our solution. By means of emulation and simulation we analyze in different scenarios, the behavior of the gossip overlay solution, and obtain average results regarding information propagation and consistency needs, i.e. in high latency situations, data convergence occurs within minutes.

关键词： Cloud computing Monitoring Peer-to-peer computing Wireless mesh networks Data dissemination distributed databases

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Managing Wireless Fog Networks using Software-Defined networking

Managing Wireless Fog Networks using Software-Defined Networ...

引用

IEEE/ACS international conference on Computer Systems and Applications

作者： Akram Hakiri Bassem Sellami Prithviraj Patil Pascal Berthou Aniruddha Gokhale University of Carthage ISSAT Mateur Tunisia The MathWorks Inc Natick MA USA CNRS UPS Toulouse France Dept of EECS Vanderbilt University Nashville TN USA

Fog computing has recently emerged as a new cyber foraging technique to offload resource-intensive tasks from mobile devices to mobile cloudlets in close proximity to end-users. Since the one-hop communication in the network edge is predominantly wireless, Wireless Mesh Networks (WMNs) are being considered to build wireless fog networks. However, WMNs use distributed hop-by-hop routing protocols to reflect a partial visibility of the network, which limits their ability to perform global network management and monitoring needed by fog networks. Software Defined networking (SDN) provides a centralized control and management of the entire network, which makes it a good candidate to support fog communication. Unfortunately, the SDN OpenFlow protocol does not support any functionalities for wireless fog networks as it is primarily targeted to wired networks. To address these issues, this paper presents a SDN-enabled wireless fog architecture that combines both OpenFlow and distributed wireless protocols. the proposed solution provides lower latency and efficient load balancing to offload the network load by enabling programmable fog routers.

关键词： Wireless communication Routing protocols Routing Edge computing Performance evaluation Computer architecture

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Orchestrating the Data-Plane of Virtual LTE Core Networks

Orchestrating the Data-Plane of Virtual LTE Core Networks

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IEEE Communications Society conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Rajesh Mahindra Arijit Banerjee Karthik Sundaresan Sneha Kasera Jacobus Van Der Merwe Sampath Rangarajan Uber Inc. Federated Wireless Inc. NEC Laboratories America Inc. University of Utah NEC Laboratories America Inc Princeton NJ US

ISBN: (纸本)9781509066001

Growing demand for data and increasing number of devices are drastically changing the scale of operation in mobile networks. Future services and business models require efficient provisioning with enhanced traffic management. It is hard to meet these requirements on today's mobile networks that are deployed over specialized hardware. While operators are keen to adopt NFV (Network Function Virtualization) to virtualize their networks, virtualized mobile network deployments face a few technical barriers. To address these challenges, we design SCOPE that effectively applies concepts from SDN and distributed systems to realize NFV-based LTE core networks. Using centralized allocation, SCOPE effectively manages the resources across multiple telecom data-centers in a way to meet the traffic requirements. To enforce the computed allocations, SCOPE includes flexible and efficient mechanisms to configure the data-plane. With full compliance to 3GPP- based protocols, SCOPE ensures faster and cost-effective deployments. the efficacy of SCOPE is shown using a prototype implementation and large-scale simulations.

关键词： Long Term Evolution Middleboxes Logic gates Resource management Delays Protocols Mobile computing

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Resource and Execution Control for Mobile Offloadee Devices

Resource and Execution Control for Mobile Offloadee Devices

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IEEE Communications Society conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Torsten Zimmermann Hanno Wirtz Jan Henrik Ziegeldorf Christian Steinhaus Klaus Wehrle Chair of Communication and Distributed Systems RWTH Aachen University

ISBN: (纸本)9781509066001

Mobile offloading overcomes the resource limitations of offloader devices by splitting resource-intensive tasks and allocating subtasks to nearby offloadee devices. In processing its subtask, each offloadee effectively executes foreign and untrusted code which might both harm the device and exhaust its resources. Given the personal nature and constrained resources of offloadee devices, such as smartphones, precise control at the offloadee over the execution environment of offloaded tasks as well as the provided and consumed resources then is a natural requirement for the success of offloading approaches. We thus contribute a mechanism for fine-grained resource control of local task execution, benefitting allocation approaches by precisely assessing, advertising, and guaranteeing offloadee processing resources. Our design protects local device integrity and usability by isolating the execution of each task in a dedicated Linux container with precisely defined resource constraints. We highlight the performance and immediate applicability of our design through a prototypical implementation using LXC containers on COTS Android smartphones that achieves controllable task execution at minimal costs: Each container starts up in only 2 ms, imposes less than 5 % computation overhead, and consumes only 10MB of memory.

关键词： Mobile communication Cloud computing Containers Resource management Virtualization Smart phones

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Information-Centric networking in environmental monitoring: An overview on publish-subscribe implementations

Information-Centric networking in environmental monitoring: ...

引用

IEEE conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Agnese V. Ventrella Luigi Alfredo Grieco Giuseppe Piro Dep. of Electrical and Information Engineering (DEI) Politecnico di Bari Bari Italy

Internet of things (IoT) is widely recognized as a key enabling driver in environmental monitoring systems, thanks to its inherent capabilities to provide sensing and actuation functionalities on a distributed basis. At the same time, the majority of IoT applications are Information Centric by design: they target specific actions that are not related to any network node but can be provided by multiple resources within the system. In this perspective, the Information-Centric networking (ICN) paradigm, formulated to answer to Future Internet requirements, can natively and seamlessly support IoT technologies as a service bus. Moving to IoT-enabled environmental monitoring systems, the publish-subscribe data exchange model is the pivotal functionality that ICN architectures have to support. In fact, an environmental monitoring system can be easily set up by letting one or more collecting stations to subscribe to the events or sensed values, generated (i.e., published) by IoT nodes scattered in the scenario of interest. Unfortunately, the support for publish-subscribe functionalities is not uniform across the main ICN architectures designed so far. To shed some light on this issue, the present contribution analyzes to what extent ICN architectures are able to support publish-subscribe and highlights the missing building blocks to purse this objective.

关键词： Publish-subscribe Peer-to-peer computing Routing Environmental monitoring Internet Routing protocols

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How to cache in ICN-based IoT environments?

How to cache in ICN-based IoT environments?

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IEEE/ACS international conference on Computer Systems and Applications

作者： Maroua Meddeb Amine Dhraief Abdelfettah Belghith thierry Monteil Khalil Drira CNRS LAAS Toulouse France HANA Lab University of Manouba Tunisia College of Computer and Information Sciences King Saud University Saudi Arabia Univ de Toulouse INSA Toulouse France

Information-Centric networking (ICN) is an emerging network paradigm based on name-identified data objects and in-network caching. therefore, ICN contents are distributed in a scalable and cost-efficient manner. With the rapid growth of IoT traffic, ICN is intended to be a suitable architecture to support IoT networks. In fact, ICN provides unique persistent naming, in-network caching and multicast communications which reduce the data producer load and the response latency. Using ICN in an IoT environment requires a study of caching policies in terms of cache placement strategies and cache replacement policies. To this end, we address, in this paper, caching challenges with the aim to identify which caching policies are suitable for IoT networks. Simulation findings show that the combination of the consumer-cache caching strategy and the RR cache replacement policy is the most convenient in IoT environments in terms of hop reduction ratio, server hit reduction and response latency.

关键词： Routing Internet Topology Logic gates Computer architecture Data dissemination Peer-to-peer computing

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Learning-based Characterizing and Modeling Performance Bottlenecks of Big Data Workloads

Learning-based Characterizing and Modeling Performance Bottl...

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18th IEEE international conference on High Performance computing and Communications (HPCC) / 14th IEEE international conference on Smart City (Smart City) / 2nd IEEE international conference on Data Science and Systems (DSS)

作者： Guo, Zhongxin Hu, Zheng Zhang, Chunhong Pu, Youer Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing Peoples R China Cornell Univ Ithaca NY 14853 USA

ISBN: (纸本)9781509042975

As the increasing demands of large-scale data analytics, the understanding of performance bottlenecks on big data workloads becomes critical for the optimization of distribution platforms. Existing work focused on qualitatively characterizing the behaviors and performance of workloads. However little effort has been spent on quantification of performance bottlenecks and building bottleneck models. In this paper, we define a series of bottleneck ratios to quantify bottlenecks according to resource utilizations. then based on features parsed from original logs, a stage-level modeling approach is proposed to characterize bottlenecks of workloads. By modeling, we can estimate bottleneck ratios using original logs, without collecting resource utilizations. To generalize the models for diverse workloads, we propose a workload generator: TrainBench, which is flexible to generate workloads with multifarious behaviors at stage-level. In addition, taking hardware performance into account, three key features are extracted to improve the estimation accuracy. Our bottleneck models perform well for diverse workloads in different clusters.

关键词： Big data workloads distributed computing Performance bottlenecks

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Learning-based Characterizing and Modeling Performance Bottlenecks of Big Data Workloads

Learning-based Characterizing and Modeling Performance Bottl...

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IEEE international conference on High Performance computing and Communications

作者： Zhongxin Guo Zheng Hu Chunhong Zhang Youer Pu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Key Laboratory of Universal Wireless Communication Ministry Education Beijing University of Posts and Telecommunications Cornell University

ISBN: (纸本)9781509042982

As the increasing demands of large-scale data analytics, the understanding of performance bottlenecks on big data workloads becomes critical for the optimization of distribution platforms. Existing work focused on qualitatively characterizing the behaviors and performance of workloads. However little effort has been spent on quantification of performance bottlenecks and building bottleneck models. In this paper, we define a series of bottleneck ratios to quantify bottlenecks according to resource utilizations. then based on features parsed from original logs, a stage-level modeling approach is proposed to characterize bottlenecks of workloads. By modeling, we can estimate bottleneck ratios using original logs, without collecting resource utilizations. To generalize the models for diverse workloads, we propose a workload generator: TrainBeneh, which is flexible to generate workloads with multifarious behaviors at stage-level. In addition, taking hardware performance into account, three key features are extracted to improve the estimation accuracy. Our bottleneck models perform well for diverse workloads in different clusters.

关键词： distributed computing Performance bottlenecks Big data workloads

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SNPD 2013 - 14th ACIS international conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing

SNPD 2013 - 14th ACIS International Conference on Software E...

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14th ACIS international conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing, SNPD 2013

ISBN: (纸本)9780769550053

the proceedings contain 103 papers. the topics discussed include: an undirected graph traversal based grouping prediction method for data de-duplication;an algorithm of developed imperialist competition for suitable human resource layout;file transfer scheduling optimization using artificial immune system;improve the intelligent consortium agent for SMEs in the plastic market;modeling stock analysts' decision making: an intelligent decision support system;veracity and convincingness: sources of plausibility for decision making and situation management;winner-take-all memetic differential evolution for genetic interaction: parameter identification;e-learning content authentication using bipartite matching;cloud resource provisioning and bursting approaches;a content aggregation using aspect oriented programming;an ensemble approach for cyber attack detection system: a generic framework;and an LBP based key management for secure wireless body area network (WBAN).

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Integrated Scientific computing infrastructure in Moldova 14

Integrated Scientific Computing infrastructure in Moldova

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14th RoEduNet international conference on networking in Education and Research (RoEduNet NER)

作者： Bogatencov, Peter Degteariov, Nichita Iliuha, Nicolai Horos, Grigorii RENAM Assoc Kishinev Moldova ASM Inst Math & Comp Sci Kishinev Moldova

ISBN: (纸本)9781467381796

Various fields of science require solving complex computational problems using resources of high-performance computing (HPC), high -throughput computing (HTC) or distributed computing Infrastructures (DCIs). Service oriented infrastructures based on Cloud paradigm simplify utilization of scalable on -demand unified sets of commonly used services. Virtualization and Cloud technologies based on Open Source solutions help to provide to researchers various variants of access to on -demand scalable resources from Private, Hybrid, Scientific, Scientific Federated or commercial Clouds. In the paper described the milestones and perspectives of deployment at the small joint IMI-RENAM cluster Open Source based Centre of Excellence with flexible internal reconfiguration and cost-effective access to unified sets of services.

关键词： Integrated Grid and Cloud infrastructures HPC Federated Cloud on-demand Services Centers of Excellence GEANT Testbed Service (GTS)

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