The NEPTUNE Project - a cabled ocean observatory in the NE Pacific: Overview, challenges and scientific objectives for the installation and operation of Stage I in Canadian waters

Barnes, Chris; Best, Mairi; Bornhold, Brian D.; Juniper, S. Kim; Pirenne, B.; Phibbs, P.

doi:10.1109/ut.2007.370809

Cited by 45 publications

(21 citation statements)

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“…The workflows were used to drive common and discrete requirements from workflow systems in the cloud. Simmhan et al [107] further use workflow examples from two collaborations, the North-East Pacific Undersea Networked Experiments (NEPTUNE) oceanography project and the Pan-STARRS astronomy project [109], to draw the comparisons. Furthermore, a number of collaborative roles for large scale data intensive computing, such as Pan-STARRS and NEPTUNE, are also defined by Simmhan et al [107].…”

Section: Data Management Approaches and Systemsmentioning

confidence: 99%

Performance analysis of data intensive cloud systems based on data management and replication: a survey

Malik

Khan

Ewen

et al. 2015

Distrib Parallel Databases

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As we delve deeper into the 'Digital Age', we witness an explosive growth in the volume, velocity, and variety of the data available on the Internet. For example, in 2012 about 2.5 quintillion bytes of data was created on a daily basis that originated from myriad of sources and applications including mobiledevices, sensors, individual 123 Distrib Parallel Databases archives, social networks, Internet of Things, enterprises, cameras, software logs, etc. Such 'Data Explosions' has led to one of the most challenging research issues of the current Information and Communication Technology era: how to optimally manage (e.g., store, replicated, filter, and the like) such large amount of data and identify new ways to analyze large amounts of data for unlocking information. It is clear that such large data streams cannot be managed by setting up on-premises enterprise database systems as it leads to a large up-front cost in buying and administering the hardware and software systems. Therefore, next generation data management systems must be deployed on cloud. The cloud computing paradigm provides scalable and elastic resources, such as data and services accessible over the Internet Every Cloud Service 123 Distrib Parallel Databases (data replication and management) to provide different QoS attributes is deliberated. Furthermore, the performance advantages and disadvantages of data replication and management approaches in the cloud computing environments are analyzed. Open issues and future challenges related to data consistency, scalability, load balancing, processing and placement are also reported.

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Section: Data Management Approaches and Systemsmentioning

confidence: 99%

Performance analysis of data intensive cloud systems based on data management and replication: a survey

Malik

Khan

Ewen

et al. 2015

Distrib Parallel Databases

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“…The data flow for VENUS is similar to EITS, except AVED metadata XML files are imported into the Data Management and Archive System (DMAS) currently in development at NEPTUNE Canada DMAS system [8]. Also, video data from VENUS are collected at a lower rate of 1 minute of video every hour, and thus can be processed on a single computer instead of a Condor pool.…”

Section: Aved Data Flow For Eits and Venusmentioning

confidence: 99%

An Automated Visual Event Detection System for Cabled Observatory Video

2007

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“…The important role of ocean observatories in future oceanography has received international acknowledgement [1]. At the beginning of this century, a construction of innovative facilities called cabled ocean observatories has been initiated by scientists and has been or being proposed all over the world [2][3][4][5][6][7][8][9]. By netting all independent subsea instruments with terrestrial power grid and global Internet via subsea coaxial cables and special mechanic-electric facilities so that unprecedented amounts of power and wide bandwidth can be provided to access and control subsea instruments.…”

Section: Introductionmentioning

confidence: 99%

Experimental study of a mechatronic system applied for subsea science instruments

Chen

Yang

Jin

et al. 2010

2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics

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Due to the shortage of current research methods to observe oceans in long term, real time, an innovative mechatronic system by using coaxial cable to connect a terrestrial shore station and a subsea science platform that can provide abundant power and broad bandwidth communication for subsea instruments, are developing. In this paper, an overview of this system was presented in detail from terrestrial facility to subsea infrastructure. And specially focus on introduction of constructing the platform consisted of a high direct current voltage to low levels power conversion sub-system and a control sub-system. Validation of this system was carried out in water pool involved in three subsea in-situ application instruments.

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The NEPTUNE Project - a cabled ocean observatory in the NE Pacific: Overview, challenges and scientific objectives for the installation and operation of Stage I in Canadian waters

Cited by 45 publications

References 0 publications

Performance analysis of data intensive cloud systems based on data management and replication: a survey

Performance analysis of data intensive cloud systems based on data management and replication: a survey

An Automated Visual Event Detection System for Cabled Observatory Video

Experimental study of a mechatronic system applied for subsea science instruments

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