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检索条件"任意字段=2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering"

共 1401 条记录，以下是511-520 订阅

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The Research and Implementation of Middleware in cloud computing 18

The Research and Implementation of Middleware in Cloud Compu...

引用

2nd international conference on Computer Science and Application engineering (CSAE)

作者： Yao, Jian Han, Wuguang Peng, Haoyou Fu, Cuiyu HaiNan Coll Software Technol Qionghai Peoples R China

ISBN: (纸本)9781450365123

In order to ensure(1) the security and reliability of cloud computing services, this paper uses the advantages of middleware in processing heterogeneous systems to establish a cloud middleware model. It realizes the organic combination of software platform and infrastructure platform and proposes a load balancing mechanism based on middleware. It determines the weights of various parameters based on the middleware load conditions and proposes a load balancing algorithm in middleware. It achieves more granular load balancing and ensures the security of cloud services. Finally, a cloud computer distributed system simulation platform is established. The experimental simulation shows that the middleware load balancing mechanism has good performance in cloud load balancing.

关键词： Middleware cloud computing load balancing algorithm

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Modelling a distributed computing system for BigData processing and managing algorithms implementation in Microgrids

Modelling a distributed computing system for BigData process...

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international Youth Scientific and Technical conference on Relay Protection and Automation (RPA)

作者： Alexey Boltunov Stepan Vasilev Vladislav Karpenko Alexander Voloshin Evgeniy Voloshin Relay Protection and Power System Automation Dept. Moscow Power Engineering Institute Moscow Russia

ISBN: (纸本)9781728163826

This paper deals with the main principles and requirements of building a distributed fault-tolerant computing system for Microgrid needs. This includes hardware and software infrastructure for managing power generation, transmission, consumption and accumulation processes. The system is built on the base of ARM64 SoC computers and microservice paradigm.

关键词： distributed computing system Fault tolerant computing Computer hardware MICRO-grid algorithms Modeling

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Load balancing and clustering scheme for real-time VoIP applications 2nd

Load balancing and clustering scheme for real-time VoIP appl...

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2nd international conference on Computer, Communication and Computational Sciences, IC4S 2017

作者： Aggarwal, Shubhani Mahajan, Nitish Kaushal, Sakshi Kumar, Harish University Institute of Engineering and Technology Panjab University Chandigarh160014 India

ISBN: (纸本)9789811303432

Voice over IP (VoIP) is a methodology for transmitting data, video, voice, chat services, and messages over the Internet. Session Initiation Protocol (SIP) is an application layer protocol that is used to initiate, establish, modify, and terminate the session. Load balancing is the mechanism for improving the performance of a distributed and parallel system by redistribution of load between the servers. The main purpose of load balancing and clustering is to handle large number of VoIP calls on different processors. This paper presents the design, implementation, and performance evaluation of a load balancer for cluster-based SIP servers. We proposed a new measurement scheme based on OpenSIPS server to a group of machines with varying configuration and analyzed various parameters like jitter, packet loss, response time, throughput, and hence, it is possible to provide better Quality of Service (QoS) in network. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Quality of service

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Koala: Towards Lazy and Locality-Aware Overlays for Decentralized clouds 2

Koala: Towards Lazy and Locality-Aware Overlays for Decentra...

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2nd IEEE international conference on Fog and Edge computing (ICFEC)

作者： Tato, Genc Bertier, Marin Tedeschi, Cedric Univ Rennes INRIA CNRS IRISA Rennes France INSA Rennes INRIA CNRS IRISA Rennes France

ISBN: (纸本)9781538664889

Current cloud computing infrastructures and their management are highly centralized, and therefore they suffer from limitations in terms of network latency, energy consumption, and possible legal restrictions. Decentralizing the cloud has been recently proposed as an alternative. However, the efficient management of a geographically dispersed platform brings new challenges related to service localization, network utilization and locality-awareness. We here consider a cloud topology composed of many small datacenters geographically dispersed within the backbone network. In this paper, we present the design, development and experimental validation of Koala, a novel overlay network that specifically targets such a geographically distributed cloud platform. The three key characteristics of Koala are laziness, latency-awareness and topology-awareness. By using application traffic, Koala maintains the overlay lazily while it takes locality into account in each routing decision. Although Koala's performance depends on application traffic, through simulation experiments we show that for a uniformly distributed traffic, Koala delivers similar routing complexity and reduced latency compared to a traditional proactive protocol, such as Chord. Additionally, we show that despite its passive maintenance, Koala can appropriately deal with churn by keeping the number of routing failures low, without significantly degrading the routing performance. Finally, we show how such an overlay adapts to a decentralized cloud composed of multiple small datacenters.

关键词： Routing cloud computing Maintenance engineering Protocols Overlay networks Computer architecture Complexity theory

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cloud computing Digital Forensic challenges 2

Cloud Computing Digital Forensic challenges

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2nd international conference on Electronics, Communication and Aerospace Technology, ICECA 2018

作者： Neware, Rahul Khan, Amreen Computer Science and Engineering G. H. Raisoni College of Engineering Nagpur India

ISBN: (纸本)9781538609651

cloud computing is ubiquitous and very recent trend in computer technology. Everyday inventions carried out in cloud computing. cloud computing is developed to overcome and solve the traditional computer system problems by resource pooling capability, Elasticity, Self and on-demand services, low cost for accessing, Quality of service etc. By providing this features cloud computing is very famous but there are various cloud computing security issues like data breach, integrity, data confidentiality etc are arises and this all are challenges to the Digital forensic to collect evidences for such attacks in cloud environment where are the things are distributed. This paper gives various digital forensic challenges while collecting evidence of attack in cloud computing. © 2018 IEEE.

关键词： Virtualization

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A Survey of Security Concerns, Mechanisms and Testing in cloud Environment 2

A Survey of Security Concerns, Mechanisms and Testing in Clo...

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2nd international conference on Electronics, Communication and Aerospace Technology, ICECA 2018

作者： Pillutla, Harikrishna Arjunan, Amuthan Department of Computer Science and Engineering Pondicherry Engineering College Pondicherry India

ISBN: (纸本)9781538609651

distributed computing is a form of computing in which a group of independent systems are connected to a computer network. cloud computing is one of the emerging domain in the field of Computer Science. With the help of cloud computing, the computing services can be delivered over the internet. Before the advent of cloud computing, the business applications were found to be complicated, expensive and the software and hardware requirements of these applications were daunting. These issues were resolved in cloud computing since the hardware and software are maintained by the cloud vendors. Another advantage of using cloud computing is that it follows pay-per-use technology which means that the user only pays for the resources he/ she consumes. The main goal of the security principles in cloud computing is to ensure that the Confidentiality, Integrity, and Availability of the data are preserved. This paper presents an extensive survey of the security threats;its countermeasures and testing that are available in cloud computing. © 2018 IEEE.

关键词： Application programs

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The Bearing of Culture upon Intention to Utilize D-learning Amongst Jordanian University Students: Modernizing with Emerging Technologies 2nd

The Bearing of Culture upon Intention to Utilize D-learning ...

引用

2nd international conference on Emerging Technologies in computing, iCETiC 2019

作者： Al-Zoubi, Saleem Issa Ali, Maaruf Department of Computer Science Irbid National University Irbid Jordan IAER Kemp House 160 City Road LondonEC1V 2NX United Kingdom

ISBN: (纸本)9783030239428

An investigation into the variables that have a bearing on the acceptance of D-learning (Digital-learning) services such as Electronic-learning and Mobile-learning, in two universities of Jordan is presented along with a discussion on modernizing in particular m-learning with emerging technologies. The study fuses the Unified Theory of Acceptance and Use of Technology (UTAUT) model with the cultural paradigm. 100 valid questionnaires distributed to random Jordanian students in two cities were used to collect the primary data. The IBM SPSS® (Statistical Package for the Social Sciences) software platform was used to analyze the data. The validity of the overall model was proven statistically with an acceptable data match with the measurement model. The findings show that the factor with the greatest bearing on "Intention to use M-learning" is the "Attitude toward using M-learning". Whilst the influence with the greatest indirect bearing on "Intention to use M-learning" is "Compatibility". The conclusions are that the: cultural factor has a significant and positive impact on the "perceived usefulness" and "perceived ease of use". "Perceived usefulness" and "perceived ease of use" have the greater impact on the "customers’ attitude", which consequently influences the students’ "intention to use M-learning services". Emerging technologies such as the cloud, AI (Artificial Intelligence) and the Blockchain and how they may be utilized to enhance the delivery of M-learning is discussed throughout the paper. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Students

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Prefix Tree Based MapReduce Approach for Mining Frequent Subgraphs 1

引用

2nd EAI international conference on Ubiquitous Communications and Network computing, UBICNET 2019

作者： Movva, Supriya Prata, Saketh Sampath, Sai Gayathri, R.G. Department of Computer Science and Engineering Amrita School of Engineering Amritapuri Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (数字)9783030206154

ISBN: (纸本)9783030206147

The frequent subgraphs are the subgraphs which appear in a number, more than or equal to a user-defined threshold. Many algorithms assume that the apriori based approach yields an efficient result for finding frequent subgraphs, but in our research, we found out that Apriori algorithm lacks scalability with the main memory. Frequent subgraph mining using Apriori algorithm with FS tree uses adjacency list representation. FS tree is a prefix tree data structure. It implements the algorithm in two phases. In the first phase, it uses the Apriori algorithm to find frequent two edge subgraphs. In the second phase, it uses FS-tree algorithm to search all the frequent subgraphs from frequent two edge subgraphs. Scanning the dataset for every candidate is the drawback of the Apriori algorithm, so the Apriori algorithm with FS-tree is used to overcome the multiple scanning. This algorithm is also implemented in an assumption that the data set fits well in memory. In this paper, we propose parallel map-reduce based frequent subgraph mining technique performed in a distributed environment on the Hadoop framework. The experiments validate the efficiency of the algorithm for generating frequent subgraphs in large graph datasets. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Learning algorithms

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Droop Control of Proportional Resonant controller Fed Hybrid Distrubuted Generator in Low voltage AC Microgrid

Droop Control of Proportional Resonant controller Fed Hybrid...

引用

international conference on Intelligent computing, Instrumentation and Control Technologies (ICICICT)

作者： T.Narasimha Prasad A.Lakshmi Devi PVP Siddhartha Institute of Technology Kanuru Vijayawada Andhra Pradesh INDIA S.V. University College of Engineering S.V. University Tirupati Andhra Pradesh INDIA

Power flow control is vital in microgrids whether it is AC or DC microgrid. Many Droop control techniques are used to efficiently control the power injected by DGs (distributed generators) in a decentralized manner. Residential low rating microgrids are eventually increasing which are hybrid in nature and need to control the power injected to a grid in grid-connected and to meet power balance in Islanded modes. A modified current based power point tracking is proposed in this paper to improve transient behavior of DC side parameters thus improves DC bus voltage regulation and Proportional resonant control is introduced which is responsible to control the active and reactive power flow simultaneously from inputs given by droop controller. The same reference is used to extend the droop control strategy in a grid-connected case also with necessary modifications.

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A Large-scale parallel Fuzzing System 18

A Large-scale Parallel Fuzzing System

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2nd international conference on Advances in Image Processing (ICAIP) / 2nd international conference on Software engineering and Development (ICSED

作者： Li, Yang Feng, Chao Tang, Chaojing Natl Univ Def Technol Sch Elect Sci Changsha 410073 Peoples R China

ISBN: (纸本)9781450364607

The application of parallelization to fuzzing can effectively improve test efficiency. But with the expansion of node scale, synchronization mechanism will become the bottleneck. To solve this problem, this paper presents a method which is suitable for large-scale parallelization to generate test cases. It simplifies the execution path of tree form into a one-dimensional array by preprocessing, which ensures validity and reduces processing time. This paper also designs and implements a parallel fuzzing system using this method. The system uses a polling mechanism to reduce repetitive tasks. A jump-oriented strategy is adopted to reduce redundancy when filtering crashes. At the end of this paper, the effectiveness of the system in improving the efficiency of fuzzing is further demonstrated through experiments.

关键词： Vulnerability discovery parallel fuzzing Test case generation distributed computing

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