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检索条件"任意字段=5th International Conference on Distributed Computing and Internet Technology, ICDCIT 2008"

共 299 条记录，以下是11-20 订阅

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An Energy Efficient Communication Scheme for distributed computing Applications in Wireless Sensor Networks

引用

5th international conference on distributed computing and internet Technologies (icdcit)

作者： Sinha, Koushik Sinha, Bhabani P. Honeywell Technol Solut Bangalore Karnataka India Indian Stat Inst Kolkata India

ISBN: (纸本)9783540897361

We propose a new energy efficient communication scheme for multi-hop wireless sensor networks (WSNs). Our run-zero encoding (RZE) communication scheme utilizes the concepts of the RBNSiZeComm protocol introduced in [1, 3, 2]. However, unlike RBNSiZeConun, RZE simultaneously saves energy at both the transmitter and receiver. Also, maintaining synchronization between transmitter and receiver is easier in RZE. Implementation of RZE is based on the transceiver design proposed in [1] that uses a hybrid modulation scheme involving FSK and ASK to keep the cost/complexity of the radio device low. With this non-coherent detection based receiver and assuming equal likelihood of all possible binary strings of a given length, we show that there is a 35.2% savings in energy on an average at the transmitter compared to binary FSK, for additive white gaussian noise (AWGN) channels. Simultaneously, the receiver experiences a savings of 12.5% on an average. these results establish the utility of RZE as a suitable candidate for communication in wireless sensor networks in order to enable distributed computing applications.

关键词： Wireless sensor networks

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Value Added Services on Stationary Vehicular Cloud

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10th international conference on distributed computing and internet technology (icdcit)

作者： Vignesh, Narayanan Shankar, Rengaraj Sathyamoorthy, Sundararajan Rajam, V. Mary Anita Anna Univ CEG Dept Comp Sci & Engn Chennai 600025 Tamil Nadu India

ISBN: (纸本)9783319044835;9783319044828

Cloud computing is the use of computing resources that are delivered as a service over a network. Most of the mobile phones currently in use have less processing capability. A trivial solution to this resource poverty problem is compute offloading. Mobile clouds are not efficient with conventional internet cloud models and mobile computing approaches. the advancement in technology has made vehicles becoming more sophisticated through powerful on-board computing capabilities, tons of on-board storage, significant communication capabilities and virtually no power limitations. this paper proposes a communication mechanism for providing value added services on an opportunistically formed Stationary Vehicular Cloud by exploiting the idle vehicular resources that, now has become a thing of commonality in cities.

关键词： Cloud computing

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A Digital-Geometric Approach for computing Area Coverage in Wireless Sensor Networks

引用

10th international conference on distributed computing and internet technology (icdcit)

作者： Saha, Dibakar Das, Nabanita Pal, Shyamosree Indian Stat Inst Adv Comp & Microelect Unit Kolkata India Natl Inst Technol Jamshedpur Bihar India

ISBN: (纸本)9783319044835;9783319044828

Given a set of n sensor nodes distributed randomly over a 2 D plane, this paper addresses the problem of computing the area covered by the sensors assuming that each sensor covers a circular area of radius r. To make the computation simple, instead of considering real circles, a digital geometry based approach is followed here. A detailed study on intersection of digital circles reveals many interesting properties that lead to the development of a novel O(n log n) centralized algorithm using simple arithmetic operations for computing the area covered by n uniform digital circles. Next, a distributed version of the same is proposed to select a subset of nodes to cover a given area. Comparison with earlier works by simulation shows that the proposed distributed algorithm improves the estimated area coverage significantly.

关键词： Digital Circle Number-theoretic Representation of Digital Circle Intersection of Digital Circles Area Coverage Point Containment

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A Second View on SecureString 2.0

引用

10th international conference on distributed computing and internet technology (icdcit)

作者： Fahrnberger, Guenter Univ Hagen Univ Str 1 D-58097 Hagen Germany

ISBN: (纸本)9783319044835;9783319044828

Many companies have thought about using external hosting solutions. Cloud computing as such a solution attracts prospective users who want to avoid initial costs and standing expenses with the underlying pay-as-you-use model. the outsourcing of sensitive information implies security risks, like eavesdropping and sabotage, for them as soon as they pass any unconfident area. If an outhouse hosting solution serves as data storage only, then an end-to-end cryptosystem without the necessity of having homomorphic properties comes up with the answer. Moreover, secure computations on the encrypted data need the use of more complex cryptosystems. SecureString 1.0 [3] and SecureString 2.0 [4] were proposed as such complex cryptosystems that focus on computing on encrypted character strings in untrustworthy environments (like clouds). While SecureString 1.0 offered a too inflexible approach, SecureString 2.0 as its improvement was introduced textually at a high level only so far. this paper contributes to foster the understanding of SecureString 2.0 by providing performance analysis for its supported operations plus formal definitions, theorems and proofs.

关键词： blind computing character string character string function character string operation cloud cloud computing secure computing string function string operation

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Minimal Start Time Heuristics for Scheduling Workflows in Heterogeneous computing Systems 12th

Minimal Start Time Heuristics for Scheduling Workflows in He...

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12th international conference on distributed computing and internet technology (icdcit)

作者： Sirisha, D. VijayaKumari, G. Pragati Engn Coll Dept CSE Surampalem India JNTUH Dept CSE Hyderabad Andhra Pradesh India

ISBN: (纸本)9783319280349;9783319280332

Heterogeneous computing systems require efficient task-to-processor mapping for attaining high performance. Scheduling workflows on heterogeneous environments is shown to be NP-Complete. Several heuristics were developed to attain minimum schedule lengths. However, these algorithms employ level-wise approach of scheduling tasks. this indirectly assigns higher priority to the tasks at lower levels than those at higher levels. Further, the start time of tasks at higher levels is constrained by the completion times of tasks at lower levels. the present work proposes a novel heuristic based global scheduling algorithm namely Minimal Start Time (MST) algorithm for workflows. the proposed approach focuses on minimizing the start times of tasks which are dependent on the tasks at lower levels to generate shorter span schedules. the primary merit of this scheme is due to the elimination of level constraints whenever there are no dependency constraints. the performance of MST algorithm is evaluated in terms of normalized makespan, speedup, efficiency and improvement of 5-20 % in 80 % of the cases is achieved in comparison to the earlier work.

关键词： Task scheduling Workflows Heuristics Schedule length Heterogeneous computing systems

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Optimizing distributed Joins with Bloom Filters

引用

5th international conference on distributed computing and internet Technologies

作者： Ramesh, Sukriti Papapetrou, Odysseas Siberski, Wolf Leibniz Univ Hannover Res Ctr L3S Hannover Germany

ISBN: (纸本)9783540897361

distributed joins have gained importance in the past decade, mainly due to the increased number of available data sources on the internet. In this work we extend Bloomjoin, the state of the art algorithm for distributed joins, so that it minimizes the network usage for the query execution based on database statistics. We present 4 extensions of the algorithm, and construct a query optimizer for electing the best extension for each query. Our theoretical analysis and experimental evaluation shows significant network cost savings compared to the original Bloomjoin algorithm.

关键词： Bandpass filters

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An Efficient Task Consolidation Algorithm for Cloud computing Systems 12th

An Efficient Task Consolidation Algorithm for Cloud Computin...

引用

12th international conference on distributed computing and internet technology (icdcit)

作者： Panda, Sanjaya K. Jana, Prasanta K. Veer Surendra Sai Univ Technol Dept Comp Sci & Engn & Informat Technol Burla 768018 India Indian Sch Mines Dept Comp Sci & Engn Dhanbad 826004 Bihar India

ISBN: (纸本)9783319280349;9783319280332

With the increasing demand of cloud computing, energy consumption has drawn enormous attention in business and research community. this is also due to the amount of carbon footprints generated from the information and communication technology resources such as server, network and storage. therefore, the first and foremost goal is to minimize the energy consumption without compromising the customer demands or tasks. On the other hand, task consolidation is a process to minimize the total number of resource usage by improving the utilization of the active resources. Recent studies reported that the tasks are assigned to the virtual machines (VMs) based on their utilization value on VMs without any major concern on the processing time of the tasks. However, task processing time is also equal important criteria. In this paper, we propose a multi-criteria based task consolidation algorithm that assigns the tasks to VMs by considering both processing time of the tasks and the utilization of VMs. We perform rigorous simulations on the proposed algorithm using some randomly generated datasets and compare the results with two recent energy-conscious task consolidation algorithms, namely random and MaxUtil. the proposed algorithm improves about 10 % of energy consumption than the random algorithm and about 5 % than the MaxUtil algorithm.

关键词： Cloud computing Task consolidation Energy consumption Virtual machine Resource utilization

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An Improved Approach of Decoupling in Mobile Cloud computing

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10th international conference on distributed computing and internet technology (icdcit)

作者： De, Sohini Misra, Alok De, Suddhasil Siliguri Inst Technol Darjeeling W Bengal India SR Grp Profess Colleges Lucknow Lucknow Uttar Pradesh India Indian Inst Technol Guwahati Gauhati Assam India

ISBN: (纸本)9783319044835;9783319044828

Mobile Cloud computing (MCC) augments resource capability of mobile/portable devices for efficient execution of their applications, which results in undesirable coupling of mobile applications and mobile cloud services. the existing approaches of decoupling between them can manage either logical mobility or physical mobility of different constituents of MCC, but not together at the same time. this paper proposes the notion of hierarchical decoupling in MCC, that manages both logical and physical mobility simultaneously. the proposed hierarchical decoupling follows a tiered approach, in which interactions of mobile applications with mobile cloud services are decoupled at two tiers using the tuple space model. At the top tier, decoupling manages logical mobility of mobile applications and mobile cloud services, whereas, decoupling at the bottom tier handles physical mobility of devices in dynamic and unreliable networks. this results in better decoupling between mobile applications and mobile cloud services, which, in turn, improves adaptability and robustness of MCC. A new mobile cloud architecture that realizes the proposed approach has also been presented in this paper.

关键词： Cloud computing mobile cloud computing mobile application mobile cloud service decoupling hierarchical decoupling tuple space

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Calvin - Merging Cloud and IoT 6th

Calvin - Merging Cloud and IoT

引用

6th international conference on Ambient Systems, Networks and Technologies (ANT) / 5th international conference on Sustainable Energy Information technology (SEIT)

作者： Persson, Per Angelsmark, Ola Ericsson Res S-22362 Lund Sweden

Developing applications for IoT and Cloud is difficult for a number of reasons;even without considering the inherent complexity of distributed computing, there are several competing platforms, programming languages and communication protocols. It can be argued that this is holding back the industry as a whole: Applications are difficult to write, deploy and manage. In this position paper we present Calvin, a hybrid framework combining ideas from the Actor model and Flow Based computing. We show that by dividing applications into four well-defined aspects - describe, connect, deploy, and manage - we get an intuitive method for application development, and a flexible, distributed platform for deploying and managing applications. Additionally, we keep Calvin language and platform agnostic by only prescribing a lightweight runtime API, with a limited number of specified communication protocols - with no requirements on the carrier - for communicating with runtimes, between runtimes, and passing data between components. (C) 2015 the Authors. Published by Elsevier B.V.

关键词： cloud computing internet of things IoT distributed computing application development position paper

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Design of distributed Network Mass Data Processing System Based on Cloud computing technology 5

Design of Distributed Network Mass Data Processing System Ba...

引用

5th international conference on IoT in Social, Mobile, Analytics and Cloud (I-SMAC)

作者： Gong, Fanghai LingNan Inst Technol Guangzhou 510663 Guangdong Peoples R China

ISBN: (纸本)9781665426428

In recent years, the cloud computing industry has developed rapidly, and big data processing technologies have also been maturing. At the same time, the scale of the domestic mobile internet market continues to expand, the number of users has exceeded 100 million, and a huge amount of mobile internet traffic data has been brought. Judging from the current situation of the mobile internet, on the one hand, mobile data traffic has soared, which has brought huge operating pressure to operators, requiring them to invest more funds for network construction and upgrades. this paper conducts an in-depth study on the design of a distributed network massive data processing system based on cloud computing technology.

关键词： distributed Network Mass Data Processing System Cloud computing distributed computing

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