Analysis of I/O Performance for Optimizing Software Defined Storage in Cloud Integration

Cha, Jae-Sang; Kim, Seongwoon

doi:10.1109/icomis.2018.8645041

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…The drawback is since user consent is not required, it may be used to survey people. [5] Privacy and Security of consumer IoT devices for the pervasive monitoring of vulnerable people (2018) shows the security an privacy requirements for healthcare solutions. The algorithm used is AES-128 and SHA-2.…”

Section: F Observationmentioning

confidence: 99%

Easy Payout, Advanced shopping, and Security in Super Market

Priya*¹,

Agrawal²,

Roy³

et al. 2019

IJITEE

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Abstract: Nowadays there is a very common issue among the general public that is lack of time. This lack of time has let the consumers to be impatient. Another most important threat to the shop or supermarket owners are theft. Many cases persist in robbery or theft in this modern era. Despite having security systems, alarms and security guards there exists the cases of theft. This leads to a huge loss to the market as well as the shop owners. They face a great challenge due to this. This idea is capable of reducing or rather preventing these issues to occur. This will provide consumers with an easy and time-efficient way. The idea if the project is to deduce a method for smart super-market stores that operate efficiently by reducing the time a customer spends at the billing desk. The target can be achieved by the use of smart bands designed especially for use by the super-market which will keep accumulating the price of the products taken off the racks by the customer. The total system will work on sensors and cloud monitoring which while the shopping will get updated by the user.When the customer is done with shopping, they can request an electronic bill that will allow payment in any of the available formats and will enable the customer to collect the physical bill after the successful payment of the total bill. This payment will be directly made by scanning the code in the billing counter through the band which will directly reflect the amount from the temporary cart and the payment will be proceeded in anyways according to the shopper.

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Section: F Observationmentioning

confidence: 99%

Easy Payout, Advanced shopping, and Security in Super Market

Priya*¹,

Agrawal²,

Roy³

et al. 2019

IJITEE

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“…Service providers will develop applications to support services on various platforms on personal computers and on different operating systems [5]. One of the main important features of cloud storage systems is the efficient support of many users [6]. Adding storage to increase resources for user service can efficiently allocate storage resources is a method of load balancing of the storage unit [7].…”

Section: Introductionmentioning

confidence: 99%

Efficient Load Balancing for Cloud Computing by Using Content Analysis

Somwang

2022

Int. j. commun. netw. inf. secur.

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Nowadays, computer networks have grown rapidly due to the demand for information technology management and facilitation of greater functionality. The service provided based on a single machine cannot accommodate large databases. Therefore, single servers must be combined for server group services. The problem in grouping server service is that it is very hard to manage many devices which have different hardware. Cloud computing is an extensive scalable computing infrastructure that shares existing resources. It is a popular option for people and businesses for a number of reasons including cost savings and security. This paper aimed to propose an efficient technique of load balance control by using HA Proxy in cloud computing with the objective of receiving and distributing the workload to the computer server to share the processing resources. The proposed technique applied round-robin scheduling for an efficient resource management of the cloud storage systems that focused on an effective workload balancing and a dynamic replication strategy. The evaluation approach was based on the benchmark data from requests per second and failed requests. The results showed that the proposed technique could improve performance of load balancing by 1,000 request /6.31 sec in cloud computing and generate fewer false alarms

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