Temporal, Functional and Spatial Big Data Computing Framework for Large-Scale Smart Grid

Hou, Weigang; Ning, Zhaolong; Zhang, Xu

doi:10.1109/tetc.2017.2681113

Cited by 48 publications

(28 citation statements)

References 18 publications

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“…Another major advantage of using cloudlets is that they are energy saving. The cloudlets are fixed, and the clients are mobile in the literature, Scavenger, and CirrusCloud…”

Section: Related Workmentioning

confidence: 99%

“…The slow data transmission speeds from mobile devices to cellular tower introduce communication delays in the task completion time. Researchers [23][24][25][26][27][28][29][30][31][32][33][34] proposed the concept of cloudlets to reduce these delays. A cloudlet is a computer or a system of computers placed together at a local site.…”

Section: Mobile Cloud and Its Offloading Architecturesmentioning

confidence: 99%

“…Another major advantage of using cloudlets is that they are energy saving. The cloudlets are fixed, and the clients are mobile in the literature, [24][25][26][27][28][29][30][31][32] Scavenger, 33 and CirrusCloud. 34 Some cloud frameworks have been proposed as open source for private cloud formation, for example, OpenNebula, 35 Nimbus, 36 Openstack, 37 Eucalyptus, 38 and Snooze.…”

Section: Mobile Cloud and Its Offloading Architecturesmentioning

confidence: 99%

“…We have discussed various MCC frameworks: (1) commercial clouds with complete task offloading for mobile devices, [2][3][4][5] (2) commercial clouds with partial task offloading for mobile devices, [9][10][11][12] (3) volunteer global cloud with stationary devices, [13][14][15] (4) volunteer global cloud with mobile devices, [18][19][20][21][22] (5) commercial or volunteer global cloud with mobile devices using cloudlets, [23][24][25][26][27][28][29][30][31][32][33][34] and (6) volunteer local cloud with mobile devices. [35][36][37][38][39][40] The major limitation of all the above-mentioned techniques 2,3,7-40 is that a fixed infrastructure is required which acts as a central controller to manage resource sharing.…”

Section: Mobile Cloud and Its Offloading Architecturesmentioning

confidence: 99%

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EMCloud: A hierarchical volunteer cloud with explicit mobile devices

Malhotra

Dhurandher

Gupta³

et al. 2018

Int J Communication

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Summary Today, the world is witnessing an exponential growth in the computational capabilities and storage capabilities of mobile devices. This has inspired application developers to create new and interesting applications for mobile devices. The applications have varied resource requirements and mobile devices are heterogeneous in their configurations. The idea of this research is to design a model for resource sharing among mobile devices so that any type of application can be run on a mobile device with the help of other such devices in close geographical proximity. A novel architecture for managing a group of volunteer nodes with unused or underused resources is designed and algorithms that are required for its operation are developed. The purpose of this research is to shift the focus towards futuristic computing paradigm where seamless resource sharing in the network would be feasible with explicitly all mobile nodes and without any dependency on fixed infrastructures. An extensive evaluation of the proposed Explicit Mobile Cloud (EMCloud) has been undertaken for mobile nodes in the network. It includes experience with a prototype that demonstrates EMCloud's performance. Simulation results demonstrate that the proposed scheme outperforms the state‐of‐the‐art Serendipity, OpenNebula, and Eucalyptus prototypes in terms of success rate and average delay for different network density, mobility, network load, and extent of hierarchy.

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“…Another major advantage of using cloudlets is that they are energy saving. The cloudlets are fixed, and the clients are mobile in the literature, Scavenger, and CirrusCloud…”

Section: Related Workmentioning

confidence: 99%

Section: Mobile Cloud and Its Offloading Architecturesmentioning

confidence: 99%

Section: Mobile Cloud and Its Offloading Architecturesmentioning

confidence: 99%

Section: Mobile Cloud and Its Offloading Architecturesmentioning

confidence: 99%

See 2 more Smart Citations

EMCloud: A hierarchical volunteer cloud with explicit mobile devices

Malhotra

Dhurandher

Gupta³

et al. 2018

Int J Communication

View full text Add to dashboard Cite

show abstract

“…The fourth step of this algorithm can benefit from a spanning-tree construction proposed in the literature [31,32]. It can be proven that the polynomial time-complexity analysis of establishing this spanning tree will be O(|V|) , while the time complexities of both the BFS and DFS algorithms are O(|E|) .…”

Section: Design Of Network Coding Tree Algorithmmentioning

confidence: 99%

An Efficient Network Coding-Based Fault-Tolerant Mechanism in WBAN for Smart Healthcare Monitoring Systems

et al. 2017

Self Cite

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Abstract:As a key technology in smart healthcare monitoring systems, wireless body area networks (WBANs) can pre-embed sensors and sinks on body surface or inside bodies for collecting different vital signs parameters, such as human Electrocardiograph (ECG), Electroencephalograph (EEG), Electromyogram (EMG), body temperature, blood pressure, blood sugar, blood oxygen, etc. Using real-time online healthcare, patients can be tracked and monitored in normal or emergency conditions at their homes, hospital rooms, and in Intensive Care Units (ICUs). In particular, the reliability and effectiveness of the packets transmission will be directly related to the timely rescue of critically ill patients with life-threatening injuries. However, traditional fault-tolerant schemes either have the deficiency of underutilised resources or react too slowly to failures. In future healthcare systems, the medical Internet of Things (IoT) for real-time monitoring can integrate sensor networks, cloud computing, and big data techniques to address these problems. It can collect and send patient's vital parameter signal and safety monitoring information to intelligent terminals and enhance transmission reliability and efficiency. Therefore, this paper presents a design in healthcare monitoring systems for a proactive reliable data transmission mechanism with resilience requirements in a many-to-one stream model. This Network Coding-based Fault-tolerant Mechanism (NCFM) first proposes a greedy grouping algorithm to divide the topology into small logical units; it then constructs a spanning tree based on random linear network coding to generate linearly independent coding combinations. Numerical results indicate that this transmission scheme works better than traditional methods in reducing the probability of packet loss, the resource redundant rate, and average delay, and can increase the effective throughput rate.

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