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Research Perspective of Job Scheduling in Cloud computing 8

Research Perspective of Job Scheduling in Cloud Computing

引用

8th international conference on Advanced computing (ICoAC)

作者： Sutha, K. Nawaz, G. M. Kadhar Bharathiar Univ Comp Sci Res & Dev Ctr Coimbatore 641046 Tamil Nadu India Dr MGR Janaki Coll Arts & Sci Women Madras Tamil Nadu India Sona Coll Technol Dept Master Comp Applicat Salem 636005 Tamil Nadu India

ISBN: (纸本)9781509058884

Today, Cloud computing provides many technological oriented applications distributed over the internet. Cloud computing facilitate tremendous changes in the IT world, to increases the maximum profits from this new platform. In IT industry everyday new applications coming up and increases the complexity of scheduling process. For this purpose, job scheduling plays a most important responsibility in current researchers to supply efficient utilization of cloud services, to get maximum ROI (Return on Investment) from those resources. this paper reveals about research perspective of job scheduling algorithms in cloud computing. Existing job scheduling algorithms mainly concentrate on few parameters like, high throughput, maximize resource utilization, minimize computational time, increasing performance, low bandwidth utilization, on-demand resource availability, cost, load balancing, priority, scalability, reliability, trust, and energy absorption.

关键词： Cloud computing Scheduling Algorithms Resource Utilization throughput

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Synchronization time calculation improvement in System on a Chip (SoC) products or any networking products under transient time adjustment conditions without an error 8

Synchronization time calculation improvement in System on a ...

引用

8th IEEE international conference on Computational Intelligence and computing Research (IEEE ICCIC)

作者： Dharane, Pradeep Shiurkar, Ulhas Appl Micro Circuits Corp Engn Pune Maharashtra India Deogiri Inst Engn & Management Studies Aurangabad Maharashtra India

ISBN: (纸本)9781509066216

In any System on a Chip (SoC) or networking communication device, residence time is calculated by subtracting the time when the message was received from the time when the message was sent. If an adjustment is made to the actual time between the time that the message arrived to before the message is sent, then this adjustment will create an error in the measured residence time. In order to prevent this error, two things can be done: make no adjustments while one or more messages that require residence time calculations are present in the local device, and recognize that an adjustment was made and provide a means to compensate for that adjustment. Not making the adjustment delays the time at which the two-clock variation is reduced, thus resulting in less accuracy, and also require that a device control and keep track of how many outstanding residence time calculations there are at any given time.

关键词： SoC - System on a Chip Arrival time - the time at which a message carrying timing information arrives into the local device Departure time - the time at which a message carrying timing information leaves the local device Residence time - the amount of time that a message is resident within the local device. this is calculated as the arrival time subtracted from the departure time

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Perlustration on Techno Level Classification of Deduplication Techniques in Cloud for Big Data Storage 8

Perlustration on Techno Level Classification of Deduplicatio...

引用

8th international conference on Advanced computing (ICoAC)

作者： Karthika, R. N. Valliyammai, C. Abisha, D. Anna Univ MIT Dept Comp Technol Madras Tamil Nadu India

ISBN: (纸本)9781509058884

In the bygone, the exploration in computing focused on cloud computing, big data, and the internet of things (IOT). Irrespective of what computing is used, there is always a requirement for storage. the challenge faced in this area is storing the massive amount of data and their integrity. In the cloud, computing resources and services are made available on demand the most significant among them is their data storage. In this article, the focus is on the literature by providing an edifice and comprehensive overview of different de-duplication techniques that are used in distributed storage. Deduplication (de-dupe) technique is progressively accepted as an effective technique to reduce the cost of storage, where the de-dupe has become a vital part of the storage infrastructure. this paper also reviews the context and key features of data de-dupe and systematize the technetronic research in data de-duplication rendering the dynamic process flow. the summary and cataloguing of the high-tech on deduplication help to improvise the furthermost design considerations for data deduplication techniques. Finally, we summarize the open problems and future exploration area in a deduplication based on storage systems.

关键词： cloud computing big data internet of things de-duplication

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distributed Memory Partitioning of High-throughput Sequencing Datasets for Enabling Parallel Genomics Analyses 17

Distributed Memory Partitioning of High-Throughput Sequencin...

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8th ACM international conference on Bioinformatics, Computational Biology,and Health Informatics (ACM-BCB)

作者： Jammula, Nagakishore Chockalingam, Sriram P. Aluru, Srinivas Georgia Inst Technol Atlanta GA 30332 USA

ISBN: (纸本)9781450347228

State-of-the-art high-throughput sequencing instruments decipher in excess of a billion short genomic fragments per run. the output sequences are referred to as reads. these read datasets facilitate a wide variety of analyses with applications in areas such as genomics, metagenomics, and transcriptomics. Owing to the large size of the read datasets, such analyses are often compute and memory intensive. In this paper, we present a parallel algorithm for partitioning large-scale read datasets in order to facilitate distributed-memory parallel analyses. During the process of partitioning the read datasets, we construct and partition the associated de Bruijn graph in parallel. this allows applications that make use of a variant of the de Bruijn graph, such as de novo assembly, to directly leverage the generated de Bruijn graph partitions. In addition, we propose a mechanism for evaluating the quality of the generated partitions of reads and demonstrate that our algorithm produces high quality partitions. Our implementation is available at ***/ParBLiSS/read_partitioning.

关键词： memory partitioning

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A Fuzzy Logic Based Load Shedding Technique for Operation of DG in Islanding Mode 8

A Fuzzy Logic Based Load Shedding Technique for Operation of...

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8th IEEE international conference on Computational Intelligence and computing Research (IEEE ICCIC)

作者： Kumar, Ankur thakur, Ritula NITTTR Dept Elect Engn Chandigarh India

ISBN: (纸本)9781509066216

A varying load affects the frequency when a power system is running in islanding mode on a distributed generator. Load shedding techniques are implemented in the system to avoid the loss of generation due to overloading. Under frequency load shedding technique is the most popular technique used for load shedding in a power system. Conventional methods for load shedding are not much efficient for the modern and complex power systems and also for the power systems running in islanding mode. this paper explains the design of a fuzzy logic controller for implementing UFLS in a power system operating on a single generator in islanding mode. the proposed method of load shedding is based on the priorities given to the loads, operating frequency of the system and rate of change of frequency. For this purpose a MATLAB/ Simulink model is designed and tested on a real time simulator OP-4510 (designed by OPAL-RT). the real time simulation of fuzzy logic based load shedding controller has given accurate load shedding and restored the frequency quickly.

关键词： Under frequency load shedding (UFLS) islanding operation distributed generator (DG) fuzzy logic control (FLC)

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Mobile Networks and Management 1st ed. 2017

引用

丛书名： Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

2017年

作者： Ramón Agüero Yasir Zaki Bernd-Ludwig Wenning Anna Förster Andreas Timm-Giel

ISBN: (数字)9783319527123

ISBN: (纸本)9783319527116

this book constitutes the refereed post-conference proceedings of the 8th international conference on Mobile Networks and Management, MONAMI 2016, held in Abu Dhabi, United Arab Emirates, in October 2016. the 14 revised full papers were carefully reviewed and selected from 18 submissions. the papers are organized thematically in four parts, starting with cloud computing and software defined networking followed by Internet-of-the-things, vehicular networks and novel techniques and algorithms.

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An Actor-Based Runtime Monitoring System for Web and Desktop Applications 18

An Actor-Based Runtime Monitoring System for Web and Desktop...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing (SNPD)

作者： Lavery, Paul Watanabe, Takuo Tokyo Inst Technol Dept Comp Sci Meguro Ku 2-12-1 Ookayama Tokyo 1528552 Japan

ISBN: (纸本)9781509055043

In this paper, we introduce a runtime monitoring method for Actor-based programs and present a Scala module that realizes the proposed method. the primary characteristic of our method is that it supports asynchronous message-passing based on the Actor model. Besides, the module does not require specialized languages for describing application properties to be monitored. Once a developer incorporates the module in his/her application, it continuously checks whether the application satisfies certain properties described as Scala code and invokes mitigation code when it finds the violation of the properties. this paper also provides two non-trivial use cases to illustrate how the module can be seamlessly integrated into actual modern Scala applications. We also demonstrate the efficiency of the module using a set of benchmarks that resulted in only 8% of the experiments causing more than 5% runtime overhead.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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distributed single pass clustering algorithm based on MapReduce 8

Distributed single pass clustering algorithm based on MapRed...

引用

8th international conference on Intelligent computing and Information Systems, ICICIS 2017

作者： Elsayed, Abdelrahman Ismael, Osama Mokhtar, Hoda M. O. Central Lab. for Agricultural Expert Systems Agricultural Research Center Giza Egypt Faculty of Computers and Information Cairo University Giza Egypt

ISBN: (纸本)9772371723

Available data increase quickly every moment, this eventually drags to big data flooding. Hence there is an emergent need for exploiting big data in order to extract valuable knowledge from it. Adoption of distributed architecture and data intensive algorithms facilitates handling and processing big data. this paper introduces a distributed single pass clustering algorithm based on MapReduce in order to reduce running time of processing big data. Also, it introduces median based single pass clustering in order to mitigate the order of the input data problem that is associated with single pass clustering. Furthermore, it introduces a new hybrid approach which integrates median based single pass clustering and k-means algorithm. the proposed integration improves the median based clustering to work well with sparse data such as text. the experimental results state that the proposed approaches outperform traditional single pass clustering. © 2017 IEEE.

关键词： Big data

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RF operated Stand-alone Power-Grid distributed Energy Generation System 8

RF operated Stand-alone Power-Grid Distributed Energy Genera...

引用

8th IEEE international conference on Computational Intelligence and computing Research (IEEE ICCIC)

作者： Pingale, Amruta Bhosale, V. K. DIEMS Dept Elect & Telecommun Aurangabad Maharashtra India

ISBN: (纸本)9781509066216

Use of renewable and non-renewable sources for distributed energy generation is more efficient than using only one of them standalone. For such distribution system stand-alone grid is considered having no co-ordination with conventional grid the proposed system is connecting outputs of different renewable sources to grid via Radio Frequency (RF) communication module. the actual working mechanism of RF communication module is to match phase angle of AC output generated from renewable sources, and in turn combining matching power information of these outputs into stand-alone smart grid Matching phase angles of different outputs from renewable sources, plays extremely crucial role, otherwise grid and other circuitry will get hit by unforeseen damage and casualties may occur. Furthermore, this paper demonstrates the research in area of energy grid with prototype model being build and related findings are shared along with insightful statistically processed real time system data analysis. this paper proposes more in depth insights into subject matter with continuation to our previous paper [1].

关键词： Distribution energy generation Renewable energy sources RF communication stand-alone grid

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Performance Evaluation of various Clustering Techniques for Gathering Big Data in distributed Wireless Sensor Network 8

Performance Evaluation of various Clustering Techniques for ...

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8th IEEE international conference on Computational Intelligence and computing Research (IEEE ICCIC)

作者： Doreswamy Kunal, G. S. Manjunatha, B. R. Mangalore Univ Dept Comp Sci Mangalore Karnataka India Mangalore Univ Dept Marine Geol Mangalore Karnataka India

ISBN: (纸本)9781509066216

In the digital communication era, big data plays an important role in wireless technology. One of the highly scheduled key contributors of big data is wireless sensor network. the overall data generated across the large sensors in the distributed wireless sensor networks can produce a significant big data. the efficient method for data gathering is a major concern in wireless sensor network. Some important data gathering techniques are, Fixed Clustering(FC), Mobile sink based Energy Efficiency Clustering (MEC), Expectation Maximization algorithm(EMC), Modified Expectation Maximization algorithm technique (MEM). In this paper, all above methods are analyzed and compared to show that the modified expectation maximization gives the optimum result more accurately than the rest of other techniques. A novel technique namely Fuzzy MEM which includes advantages of MEM also proposed in this paper.

关键词： Mobile sink Fuzzy Cluster Connectivity Deployment Energy

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