The rise of “big data” on cloud computing: Review and open research issues

Hashem, Mohamed; Yaqoob, Ibrar; Anuar, Nor Badrul; Mokhtar, Salimah Binti; Gani, Abdullah; Khan, Samee U.

doi:10.1016/j.is.2014.07.006

Cited by 2,126 publications

(1,055 citation statements)

References 69 publications

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“…Specifically these data sets are too big to store on a single machine and so must be distributed. Already the growth of data is exponential [54] and increasing data collection and further cloud services will only accelerate this further [55]. Very quickly this could lead to a situation where we are no longer able to process the vast amount of data being collected.…”

Section: Challenge: Data Explosionmentioning

confidence: 99%

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

McKee

Clement

Almutairi

et al. 2017

2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS)

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Abstract-The next era of computing is the evolution of the Internet of Things (IoT) and Smart Cities with development of the Internet of Simulation (IoS). The existing technologies of Cloud, Edge, and Fog computing as well as HPC being applied to the domains of Big Data and deep learning are not adequate to handle the scale and complexity of the systems required to facilitate a fully integrated and automated smart city. This integration of existing systems will create an explosion of data streams at a scale not yet experienced. The additional data can be combined with simulations as services (SIMaaS) to provide a shared model of reality across all integrated systems, things, devices, and individuals within the city. There are also numerous challenges in managing the security and safety of the integrated systems. This paper presents an overview of the existing stateof-the-art in automating, augmenting, and integrating systems across the domains of smart cities, autonomous vehicles, energy efficiency, smart manufacturing in Industry 4.0, and healthcare. Additionally the key challenges relating to Big Data, a model of reality, augmentation of systems, computation, and security are examined.

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Section: Challenge: Data Explosionmentioning

confidence: 99%

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

McKee

Clement

Almutairi

et al. 2017

2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS)

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“…However, several big data challenges still exist especially in computer architecture that is CPU-heavy but I/O poor (Chen & Zhang, 2014). Cloud computing eliminates the need to maintain expensive computing hardware and software (Hashem et al, 2015). Cloud computing resources and techniques can be leveraged to address the traditional problems associated with fault tolerance and low performance causing bottlenecks to using big data (Chen & Zhang, 2014).…”

Section: Introductionmentioning

confidence: 99%

Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

Vajjhala¹,

Ramollari²

2016

Eur. j. econ. bus. stud.

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Big Data has been listed as one of the current and future research frontiers by Gartner. Large-sized companies are already investing on and leveraging big data. Small-sized and medium-sized enterprises (SMEs) can also leverage big data to gain a strategic competitive advantage but are often limited by the lack of adequate financial resources to invest on the technology and manpower. Several big data challenges still exist especially in computer architecture that is CPU-heavy but I/O poor. Cloud computing eliminates the need to maintain expensive computing hardware and software. Cloud computing resources and techniques can be leveraged to address the traditional problems associated with fault tolerance and low performance causing bottlenecks to using big data. SMEs can take advantage of cloud computing techniques to avail the advantages of big data without significant investments in technology and manpower. This paper explores the current trends in the area of big data using cloud resources and how SMEs can take advantage of these technological trends. The results of this study will benefit SMEs in identifying and exploring possible opportunities and also understanding the challenges in leveraging big data.

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“…Cloud computing is an emerging approach, that is envisaged to provide a flexible, secure and cost effective platform for storage, as well as execution of the computing resources thereby offering a robust architecture destined to have a reliable and real time operation of engaged utilities [4]. Coupling the utilities with the cloud services ensure a naïve user to gain an anytime and anywhere access to the network as well as shared resources through smart applications at his disposal [5], [6]. Moreover, the massive penetration of utilities into the cloud infrastructure triggers tsunami of data generation synonymously "Big Data" [4], [7].…”

mentioning

confidence: 99%

“…Moreover, the massive penetration of utilities into the cloud infrastructure triggers tsunami of data generation synonymously "Big Data" [4], [7]. Robust data analytic tools and techniques supplemented with fast processing elements are required to manage and mine such datasets, with an aim to come up with a smart decision making paradigm [6], [7], [8].1.1 MOTIVATION With the advent of rigorous research and development efforts and stringent protocols related to vehicle emissions [9], fuel economy, constraints in conventional energy reserves and so called global warming, electric vehicles specifically electric/plug-in electric and plug in hybrid electric vehicles (xEVs) are receiving an utmost attention from automobile industries, governments, R&Ds, vehicle vendors as well as consumers as they seem to serve as the sustainable and efficient power trains for the coming generations. According to survey in [10] and [11], during a short period of six years from 2008 to mid of 2014, about a quarter million plug-in hybrid electric vehicles have already been launched into US roadways.…”

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confidence: 99%

Plug-in Electric Vehicle to Cloud Data Analytics for Charging Management

Hussain¹,

Alam²,

Beg³

2017

IJET

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Abstract-Electric, plug in electric and plug in hybrid electric vehicles (xEVs) are receiving an utmost attention from automobile industries, policymakers, R&D agencies and vehicle vendors in the contemporary smart transportation era. Penetration of electric vehicle fleet into the existing charging infrastructure multiplies the load on the underlying grid system. Smart grid technologies in collaboration with smart charging management strategies may circumvent the power load, thus enabling a reliable, efficient, consistent and flexible operation of the underlying power grid system. This work demonstrates commercially viable multi-tier cloud enabled vehicle to cloud (V2C) smart fleet charging model for coordinating the charging of xEVs fleet that can support vehicle mobility satisfying the triangle equivalence namely minimum charging tariff, shortest travelling distance and minimum waiting time at the charging station. Following a multi-tier cloud infrastructure for interactive and real-time control and monitoring of the massive vehicle fleet, this work also highlights the Big Data research thrusts, opportunities and challenges that are being evolved due to integration of a distributed cloud framework with the intelligent entities like smart meters, smart charging stations, xEVs etc. for commercial viability, implementation and deployment of emerging transport oriented cities (TOCs).Keyword-Big-Data, Range anxiety, Vehicle to Cloud, xEVs Charging Management I. INTRODUCTION The development agenda in smart cities primarily demand green technology transportation. Proactive measures are needed to nullify the gaseous emissions from vehicles run by non-conventional fuels like gasoline [1]. Due to the substantial price-hike in the crude oil and prolonged dependence on foreign oil over the past decades, power GENCOs as well as the consumer, are directly or indirectly forced to opt for alternative energy sources [1]. The hybrid cars introduced by automotive industries like Nissan, Honda and Toyota are a step towards this innovation attempting to replace the Internal Combustion Engines (ICEs) with rechargeable batteries and electric motors. The bulk of the research is going on to ensure a zero-emission mode of transport. Fortunately positive results have been shown by such inventions as Electric/Plug-in electric/ Plug-in Hybrid Electric Vehicles (xEVs) which can serve as the best recourse in this storyline. Conceptually, xEVs integrate the electrical networks with so called data and communication infrastructures through smart metering and sensing utilities [2]. The heterogeneous data generated from these devices roots the use of efficient data management techniques to deliver a consistent, reliable and real time operation of the massive vehicle fleet [3]. Cloud computing is an emerging approach, that is envisaged to provide a flexible, secure and cost effective platform for storage, as well as execution of the computing resources thereby offering a robust architecture destined to have a reliable and real time operation of e...

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The rise of “big data” on cloud computing: Review and open research issues

Cited by 2,126 publications

References 69 publications

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

Plug-in Electric Vehicle to Cloud Data Analytics for Charging Management

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