A novel and unified design approach for reliable distributed and parallel data processing in large scale networks consisting of high- and of low-resource nodes using mobile agents is introduced. this approach enables ...
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ISBN:
(纸本)9783863592967
A novel and unified design approach for reliable distributed and parallel data processing in large scale networks consisting of high- and of low-resource nodes using mobile agents is introduced. this approach enables the development of sensor clouds of the future integrated in daily use computing environments and the Internet. Agents can migrate between different hardware and software platforms by migrating the program code of the agent, embedding the state and the data of an agent, too. Agent mobility crossing different execution platforms, agent interaction by using tuple-space databases, and agent code reconfiguration enable the design of reliable distributed sensor processing networks.
the rapid advances and growth in deploying services computing systems, including cloud computing systems, in various applications have major impacts on the use of IT technologies, the economy, society, and our daily l...
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Mobile applications envisaged in the Smart City rely on the capacity of acquiring context from a vast array of sensors and other data sources, to deliver context-aware services at an urban scale whilst leveraging the ...
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ISBN:
(纸本)9781479986606
Mobile applications envisaged in the Smart City rely on the capacity of acquiring context from a vast array of sensors and other data sources, to deliver context-aware services at an urban scale whilst leveraging the Internet of things (IoT). this work analyses existing context dissemination techniques, encompassing both probabilistic and deterministic algorithms, and advocates the case for ACT (Adaptive Context Tries), a novel urban scale technique with a dissemination complexity and context availability that fulfils the requirements of Context-Aware Smart City applications. A number of enabling technologies and middleware solutions already exists supporting the provision and the sharing of context in small scale scenarios. It also shows that existing context dissemination techniques used in State of the Art middleware do not provide solutions that support context-aware applications in urban scale and dynamic, mobile environments. Results show ACT provides a scalable approach that incurs logarithmic growth in overhead with respect to the number of participating peers in the system without compromising the completeness, reliability, or timeliness of disseminated context.
Complex Event Processing (CEP) and Mobile Adhoc networks (MANETs) are two technologiesthat can be used to enable monitoring applications for Emergency and Rescue missions (ER). MANETs are characterized by energy limi...
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ISBN:
(纸本)9781467377010
Complex Event Processing (CEP) and Mobile Adhoc networks (MANETs) are two technologiesthat can be used to enable monitoring applications for Emergency and Rescue missions (ER). MANETs are characterized by energy limitations, and in-network processing or distributed CEP is one possible solution. Operator placement mechanism for distributed CEP has a direct impact on energy consumption. Existing operator placement mechanisms focus on static network topologies and are therefore inappropriate for MANETs scenarios. We propose a novel energy efficient decentralized distributed placement mechanism, designed to achieve fast convergence with minimal data transmission cost while achieving a near optimal placement assignment. We compare our decentralized placement mechanism with a centralized approach under different mobility scenarios. Furthermore, we evaluate the distributed CEP under different workload scenarios in order to gain additional insight into different performance characteristics of the system. Finally, we measure the impact of a simple placement replication scheme on the overall system performance in terms of delay and message overhead. Our decentralized placement mechanism achieves up to almost 50% lower message overhead compared to the centralized approach, and it has lower message overhead across different mobility scenarios compared to the centralized approach. the placement replication scheme achieves up to 51% lower delay compared to the decentralized placement mechanism with no replication.
Clustering algorithm is applied to many fields, especially in the data mining. Due to the increasing number of the data, it9;s too hard for the clustering algorithm to afford the computation time in traditional com...
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ISBN:
(纸本)9781467392952
Clustering algorithm is applied to many fields, especially in the data mining. Due to the increasing number of the data, it's too hard for the clustering algorithm to afford the computation time in traditional computing model. When handling with big data, the corresponding algorithms of data mining have been transformed from the original single-core or single ported into the parallel and distributed processing. parallel processing becomes the most popular way to improve the execution performance. this paper established a Hadoop distributed cluster based on the CloudStack and implemented the optimal distributed K-Means clustering algorithm based on MapReduce. the proposed optimal distributed K-Means clustering can obtain good quality of the clustering results and the efficiency of the execution time. the experiment results show that the optimal distributed K-Means cluster algorithm can have better performance for dealing with large-scale data set.
Big data brings with it the promise of data-driven decision-making. Complexity, Privacy, Heterogeneity impede the progress of making valuable decisions from this voluminous data. In this paper, we have reviewed the ch...
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ISBN:
(纸本)9781479964802
Big data brings with it the promise of data-driven decision-making. Complexity, Privacy, Heterogeneity impede the progress of making valuable decisions from this voluminous data. In this paper, we have reviewed the challenges related to big data, the technologies available for the same. Data Analysis and Retrieval, Spurious data, Noise Accumulation are the other challenges. the discussions here are aimed at providing a comprehensive overview to this new age data. We have concluded this survey by throwing light on the open problems and research issues.
Chemical-exchange provides a fundamental mechanism by which microorganisms and biological cells communicate. Using this concept and the idea of biological sized nanomachines, this paper explores the detection of a und...
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the proceedings contain 67 papers. the topics discussed include: Spheres: a web services framework for smartphone sensing as a service;web service query selection for a professional social network members;development ...
ISBN:
(纸本)9781479986606
the proceedings contain 67 papers. the topics discussed include: Spheres: a web services framework for smartphone sensing as a service;web service query selection for a professional social network members;development of management system for generated power using cloud services: application to aero-bike equipped with dynamo;enhancement in homomorphic encryption scheme for cloud data security;simulation-based study of distributed denial of service attacks prevention in the cloud;connect and control things: integrating lightweight IoT framework into a mobile application;q-learning based random access with collision free RACH interactions for cellular M2M;a lightweight authentication scheme for e-healthapplications in the context of internet of things;a study of network stability on wireless sensor networks;routing fault-tolerance for heterogeneous WSNs based on an immune cooperative multi-particle-swarm algorithm;and fast-OB-VAN: a fast opportunistic broadcast protocol for VANETs.
A novel and unified approach for reliable distributed and parallelcomputing using mobile agents is introduced. the agents can be deployed in large scale and hierarchical network environments crossing barriers transpa...
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A novel and unified approach for reliable distributed and parallelcomputing using mobile agents is introduced. the agents can be deployed in large scale and hierarchical network environments crossing barriers transparently. the networks can consist of high- and low-resource nodes ranging from generic computers to microchips, and the supported network classes range from body area networks to the Internet including any kind of sensor and ambient network. Agents are represented by mobile program code that can be modified at run-time. the presented approach enables the development of sensor clouds and smart systems of the future integrated in daily use computing environments and the Internet. Agents can migrate between different hardware and software platforms by migrating the program code of the agent, embedding the state and the data of an agent, too. the entire information exchange and coordination of agents with other agents and the environment is performed by using a tuple space database. Beside architecture specific hardware and software implementations of the agent processing platform, there is a JavaScript (JS) implementation layered on the top of a distributed management layer. the JS platform enables the integration of Multi-agent Systems (MAS) in Internet server and application environments (e. g., WEB browser). Agents can migrate transparently between hardware-level sensor networks and WEB browser applications or network servers and vice versa without any transformation required. (C) 2015 the Authors. Published by Elsevier B.V.
Mental disorders impose significant socio-economic and geo-political challenges which, if not addressed, have the potential to overwhelm the ability of healthcare systems globally to accommodate the growing demands bo...
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ISBN:
(纸本)9781479988730
Mental disorders impose significant socio-economic and geo-political challenges which, if not addressed, have the potential to overwhelm the ability of healthcare systems globally to accommodate the growing demands both in human and resource management terms. From a treatment perspective there is a need to implement multi-modal systems where patients can be diagnosed, treated, and monitored. Such systems must incorporate triage and treatment capabilities in both hospital settings with monitoring in the community. this paper considers the practical challenges in realising the goal of achieving the effective monitoring of patients with mental disorders in Smart-Psychiatric Intensive Care Units and in the community. Illustrative scenarios are presented. We conclude that effective patient monitoring will provide benefits for all stakeholders in the management of mental disorders.
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