the ability to migrate services to a remote data center is an important feature of Cloud services, especially after a natural disaster. the FELIX project has developed a global scale testbed by federating multiple, di...
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ISBN:
(纸本)9781509050932
the ability to migrate services to a remote data center is an important feature of Cloud services, especially after a natural disaster. the FELIX project has developed a global scale testbed by federating multiple, distributed, data centers, called SDN islands. FELIX leverages on a transit network resource manager (TN RM) to enable NSI and GRE connections between different SDN islands. In this study, we perform an IaaS migration over the EU-Japan FELIX federated testbed and NSI-enabled network. the experimental results show that IaaS migration in a low latency environment performs high-speed migration, while in a high latency environment, communication optimization achieves a reasonable 10-minute IaaS migration.
Over the past few decades, both small-and medium-sized manufacturers as well as large original equipment manufacturers (OEMs) have been faced with an increasing need for low cost and scalable intelligent manufacturing...
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ISBN:
(纸本)9780791849903
Over the past few decades, both small-and medium-sized manufacturers as well as large original equipment manufacturers (OEMs) have been faced with an increasing need for low cost and scalable intelligent manufacturing machines. Capabilities are needed for collecting and processing large volumes of real-time data generated from manufacturing machines and processes as well as for diagnosing the root cause of identified defects, predicting their progression, and forecasting maintenance actions proactively to minimize unexpected machine down times. Although cloud computing enables ubiquitous and instant remote access to scalable information and communication technology (ICT) infrastructures and high volume data storage, it has limitations in latency-sensitive applications such as high performance computing and real-time stream analytics. the emergence of fog computing, Internet of things (IoT), and cyber-physical systems (CPS) represent radical changes in the way sensing systems, along with ICT infrastructures, collect and analyze large volumes of real-time data streams in geographically distributed environments. Ultimately, such technological approaches enable machines to function as an agent that is capable of intelligent behaviors such as automatic fault and failure detection, self-diagnosis, and preventative maintenance scheduling. the objective of this research is to introduce a fog enabled architecture that consists of smart sensor networks, communication protocols, parallel machine learning software, and private and public clouds. the fog-enabled architecture will have the potential to enable large-scale, geographically distributed online machine and process monitoring, diagnosis, and prognosis that require low latency and high bandwidth in the context of data-driven cyber-manufacturing systems.
the advancements in wireless infrastructures and communication technologies prompt the bandwidth aggregation for mobile video delivery over heterogeneous access networks. Multipath TCP (MPTCP) is the transport protoco...
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ISBN:
(纸本)9781509014828
the advancements in wireless infrastructures and communication technologies prompt the bandwidth aggregation for mobile video delivery over heterogeneous access networks. Multipath TCP (MPTCP) is the transport protocol recommended by IETF to enable concurrent data transmissions over multiple communication paths. However, it still remains problematic to deliver user-satisfied video services withthe existing MPTCP schemes due to the contradiction between mobile device energy and video distortion. To enable the energy-efficient and quality-guaranteed video streaming, this paper presents an Energy-Distortion Aware MPTCP (EDAM) solution. First, we develop an analytical model to capture the energy-distortion tradeoff for multipath video transmission over heterogeneous wireless networks. Second, we propose a video flow rate allocation algorithm to minimize the energy consumption while achieving target video quality based on utility maximization theory. the performance of the proposed EDAM is evaluated through extensive emulations in Exata involving real-time H.264 video streaming. Evaluation results demonstrate that EDAM outperforms the reference MPTCP schemes in reducing energy consumption, as well as in improving video PSNR (Peak Signal-to-Noise Ratio).
In large-scale disaster scenarios, efficient triage management is a major challenge for emergency services. Rescue forces traditionally respond to such incidents with a paper-based triage system, but technical solutio...
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the proceedings contain 29 papers. the topics discussed include: organizational behavior engineering for sustainable global software development;communication challenges and strategies in distributed DevOps;enabling k...
ISBN:
(纸本)9781509026807
the proceedings contain 29 papers. the topics discussed include: organizational behavior engineering for sustainable global software development;communication challenges and strategies in distributed DevOps;enabling knowledge sharing in agile virtual teams;dynamics of software development crowdsourcing;agile workbench: tying people, process, and tools in distributed agile delivery;scaling scrum in a large globally distributed organization: a case study;scaling agile scrum software development: providing agility and quality to platform development by reducing time to market;system testing optimization in a globally distributed software engineering team;understanding architectural knowledge sharing in AGSD teams: an empirical study;SM2PIA: a model to support the development of pragmatic interoperability requirements;an approach for enabling effective and systematic software reuse: in a globally distributed software engineering team that uses a lean development methodology;using architectural constraints to drive software component reuse while adding and enhancing features: in a global software engineering team;a specialized global software engineering taxonomy for effort estimation;shared knowledge in virtual software teams: a preliminary framework;and a state-of-the-art of empirical literature of crowdsourcing in computing.
In this paper, we describe an on-going experimental effort to inter-connect and federate distributed SDN-cloud resources that are spread over separate administrative domains. the proposed Software-Defined Inter-Connec...
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Virtualization as a key IT technology has developed to a predominant model in data centers in recent years. the flexibility regarding scaling-out and migration of virtual machines for seamless maintenance has enabled ...
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Virtualization as a key IT technology has developed to a predominant model in data centers in recent years. the flexibility regarding scaling-out and migration of virtual machines for seamless maintenance has enabled a new level of continuous operation and changed service provisioning significantly. Meanwhile, services from domains striving for highest possible availability - e.g. from the telecommunications domain - are adopting this approach as well and are investing significant efforts into the development of Network Function Virtualization (NFV). However, the availability requirements for such infrastructures are much higher than typical for IT services built upon standard software with off-the-shelf hardware. they require sophisticated methods and mechanisms for fast detection and recovery of failures. this paper presents a set of methods and an implemented prototype for anomaly detection in cloud-based infrastructures with specific focus on the deployment of virtualized network functions. the framework is built upon OpenStack, which is the current de-facto standard of open-source cloud software and aims at increasing the availability and fault tolerance level by providing an extensive monitoring and analysis pipeline able to detect failures or degraded performance in real-time. the indicators for anomalies are created using supervised and non-supervised classification methods and preliminary experimental measurements showed a high percentage of correctly identified anomaly situations. After a successful failure detection, a set of pre-defined countermeasures is activated in order to mask or repair outages or situations with degraded performance. (C) 2016 Published by Elsevier B.V.
Remote procedure calls (RPC) are widely used for building distributed systems for about 40 years. there are several RPC implementations addressing different purposes. Some RPC mechanisms are general purpose systems an...
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ISBN:
(纸本)9789897581946
Remote procedure calls (RPC) are widely used for building distributed systems for about 40 years. there are several RPC implementations addressing different purposes. Some RPC mechanisms are general purpose systems and provide a number of calling patterns for functionality, hence they do not emphasize performance. On the other hand, a small number of RPC mechanisms are implemented with performance as the main concern. Such RPC implementations concentrate on reducing the size of the transferred RPC messages. In this paper, we propose a novel lightweight and high performance RPC mechanism (HPRPC) that uses our own high performance data serializer. We compare our RPC system's performance with a well-known RPC implementation, gRPC, that addresses both providing various calling patterns and reducing the size of the RPC messages. the experiment results clearly indicate that HPRPC performs better than gRPC in terms of communication overhead. therefore, we propose our RPC mechanism as a suitable candidate for high performance and real time systems.
the proceedings contain 17 papers. the topics discussed include: performance implications for IoT over information centric networks;mobile triage management in disaster area networks using decentralized replication;op...
ISBN:
(纸本)9781450342568
the proceedings contain 17 papers. the topics discussed include: performance implications for IoT over information centric networks;mobile triage management in disaster area networks using decentralized replication;opportunistic content dissemination performance in dense network segments;HINT: from network characterization to opportunistic applications;(not so) intuitive results from a smart agriculture low-power wireless mesh deployment;streaming content from a vehicular cloud;filling the gaps: on the completion of sparse call detail records for mobility analysis;soft cache hits and the impact of alternative content recommendations on mobile edge caching;and beacon trains: blazing a trail through dense BLE environments.
Although Software-Defined networking (SDN) is a mature paradigm, failure recovery and management in SDN still need much research attention. OpenFlow, as an implementation of SDN, provides flexible and abstracted appro...
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