Workload consolidation techniques to optimise energy in cloud: review

Sanjeevi, P.; Viswanathan, Pragasam

doi:10.1504/ijipt.2017.085190

Cited by 5 publications

(4 citation statements)

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“…The weather environmental condition and status are predicted using the forecast system based on decision-making and supporting system, and information is stored in the cloud using IoT. [13][14][15][16][17][18][19][20][21][22][23] The IoT is used to fetch all sensor data collected, and accurate weather information is predicted using the proposed methodology of decision-making and supporting system. Rama Krushna Das et al 24 have proposed the smart agriculture farming system using IoT by inspiring the Indian nation's financial contribution basis of profits and employment of around 73%.…”

Section: Related Workmentioning

confidence: 99%

“…The decision‐making and supporting system using cloud technology is needed for improving efficiency and minimizing economic expenditure in the agriculture industry. The weather environmental condition and status are predicted using the forecast system based on decision‐making and supporting system, and information is stored in the cloud using IoT 13‐23 . The IoT is used to fetch all sensor data collected, and accurate weather information is predicted using the proposed methodology of decision‐making and supporting system.…”

Section: Related Workmentioning

confidence: 99%

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Precision agriculture and farming using Internet of Things based on wireless sensor network

Sanjeevi

Prasanna

Kumar

et al. 2020

Trans Emerging Tel Tech

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In the recent past, the agriculture and farming industry has become the precision network connectivity of sensors with a new dimension of Internet of Things (IoT) technology. The cloud computing and wireless sensor network-(WSN) based extensive distance network in IoT can be applied to the agriculture and farming industry in a remote area. In this paper, we propose scalable wireless sensor network architecture for monitoring and control using IoT for agriculture and farming in a remote area. One of the significant managements in precision agriculture and farming (PAF) is water resource irrigation and proper utilization of water resources. Appropriate utilization of water irrigation management can be achieved by applying WSN technology using IoT. The efficient communication of various wireless sensors is processed using IoT in PAF to improve the productivity of farmers. We have analyzed the WSN structure based on throughput maximization, latency minimization, high signal-to-noise ratio (SNR), minimum mean square error, and improved coverage area. The experimental results have proved that the proposed methodology provides better performance than conventional IoT-based agriculture and farming.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Precision agriculture and farming using Internet of Things based on wireless sensor network

Sanjeevi

Prasanna

Kumar

et al. 2020

Trans Emerging Tel Tech

Self Cite

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show abstract

“…From the consideration of constituting the complete agriculture industry and their solid substance manufacture processing in post-harvest sector services is the most precious compositions is the direction preventing reduce the losses in intelligent agriculture [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. From the processing schemata, will be preventing post-harvest losses on the agriculture solid substance (dekopon, densuke watermelon, pineapple, ruby roman grapes, sekai-ichi apple, strawberries arnaud, yubari king melons, and bael or wood apple) manufacture, especially sekai-ichi apple is the regularly used fruit also used to make active in human-related activities of the sensory and control function consisting of an agricultural industry [17,18].…”

Section: Introductionmentioning

confidence: 99%

An ontology enabled internet of things framework in intelligent agriculture for preventing post-harvest losses

Sanjeevi

Kumar

Prasanna

et al. 2020

Complex Intell. Syst.

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Constituting the agriculture solid substance manufacture, the post-harvest sector processing schema is direct to preventing reduce the losses in intelligent agriculture. Many processing schemata will be preventing post-harvest losses on the agriculture solid substance manufacture, especially sekai-ichi apple is the regularly used fruit also used to make active in human-related activities of the sensory and control function consisting of an agricultural industry. Sekai-ichi apple is being a definite number of diseases induce, but it is to the highest degree of wastage involving in the Post-Harvest process. Especially sekai-ichi apple count loss is an unsafe many time because it not critically post-harvest. Regardless of consideration, the existing hierarchical model specified post-harvest losses prevention research has deficiencies to precise and quick detection of wastage for ensuring healthy separation of agriculture surroundings. This paper suggests a "Hierarchical Model within Ontology Enabled IoT" for distinguishable healthy separation of sekai-ichi apple by using Boosted Continuous Non-spatial whole Attribute Extraction (BCNAE). Sekai-ichi apple count loss is always safe on critically post-harvest. Proposed Post-Harvest hierarchical model specified post-harvest losses prevention and deficiencies to precise and quick detection of wastage for ensuring healthy separation of agriculture surroundings. In these suggestions, the separation cognitive operation takes the three levels of processing schemes such as lower level, middle level, and higher level. Firstly, the lower level is express agreements with the dynamic functioning for maintaining the definite number of manual induces. This lower level showing an absorption with the activity of manual separation by the human reliability determination. Secondly, the middle level is an express arrangement with the dynamic functioning for reducing the overfitting and accommodate to fitting the right shape deliberation. Middle level is establishing being generalized by concentrating the time-varying features in the occurrence of a change for the worse identification. Finally, the upper level is express for features refining with the help of the function of sekai-ichi apple image segmentation connection. This interpretability process helps to make the proven position of a prominent classification in a particular fruit on the agriculture solid substance. These three processing flow constructs the ontology structure with manually collected sekai-ichi apple images from a 3D sensor. The observational consequences express that the proposed BCNAE framework recognizes a detection performance carrying out with an optimized-separation ratio for time-variant of the separation process.

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“…As the instant message character of XMPP, our proposed approach makes it possible for a controller to send its updated state information to other controllers in real-time. The updated state information in the proposed mechanism is mainly associated with the load of SDN controllers (Lange et al, 2015;Aslan and Matrawy, 2016;Frosterus et al, 2015;Tuncer et al, 2015;Gutierrez-Garcia and Ramirez-Nafarrate, 2015;Sanjeevi and Viswanathan, 2017;Kessl, 2016), Therefore, the instant message mechanism can solve a single point of failure to some extent by providing the real-time updated state information to load balancer. The rest of paper is organised as follows: we present the related work in Section 2.…”

Section: Introductionmentioning

confidence: 99%

CDLB: a cross-domain load balancing mechanism for software defined networks in cloud data centre

Wang

Dong

Ota

et al. 2019

IJCSE

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Currently, cross-domain load balancing is one of the core issues for software defined networks (SDN) in cloud data centre, which can optimise resource allocation. In this paper, we propose a cross-domain load balancing mechanism, CDLB, based on Extensive Messaging and Presence Protocol (XMPP) for SDN in cloud data centre. Different from poll method, XMPP based push model is introduced in the proposed scheme, which can avoid wasting network and computing resources in large-scale distributed network environment. The proposed scheme enables all the controllers in the flat distributed control plane to share the same consistent global-view network information in real time through XMPP and XMPP publish/subscribe extension. Thus, the problem of non-real time information synchronisation can be resolved and cross-domain load balancing can be realised. The simulations show the efficiency of the proposed scheme.

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Workload consolidation techniques to optimise energy in cloud: review

Cited by 5 publications

References 0 publications

Precision agriculture and farming using Internet of Things based on wireless sensor network

Precision agriculture and farming using Internet of Things based on wireless sensor network

An ontology enabled internet of things framework in intelligent agriculture for preventing post-harvest losses

CDLB: a cross-domain load balancing mechanism for software defined networks in cloud data centre

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