Entropy4Cloud: Using Entropy-Based Complexity to Optimize Cloud Service Resource Management

Chen, Huankai; Wang, Frank Z.; Helian, Na

doi:10.1109/tetci.2017.2755691

Cited by 10 publications

(4 citation statements)

References 54 publications

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“…In cloud service based environment, complexity limits the quality of service requirements such as average response time, reliability, numerousness and uncertainty, these measures the actual running performance of cloud applications. Entropy based methodology is appropriate to avoid and reduce the complexity [17]. In this paper, we measured entropy values of proposed method and existing algorithms using equation (3).…”

Section: Computational Analysis (Wrt Des Ne-2)mentioning

confidence: 99%

Ensure Data Protection in Cloud Computing using ASCII Based Encryption Technique

Shivanna¹,

S²

2019

IJITEE

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Cloud computing is an engineering discipline which is concerned with all aspect of storing and sharing useful data. Today, millions of users are able to upload and download useful information on cloud environment from anywhere at any time. Recently, many security issues are encountered in real time applications with a great loss of data and information. Subsequently, many research works have been done to highjack the security issues of cloud computing. Still, all feasible solutions may not applicable at all time and some practical situations. In this paper, we designed and implemented an ASCII based encryption technique that securely uploads, sharing the data on cloud framework with a minimum computational overhead and entropy. The proposed technique will increase the throughput of the system and it can be deployed on a cloud environment for sharing and securing useful data information

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Section: Computational Analysis (Wrt Des Ne-2)mentioning

confidence: 99%

Ensure Data Protection in Cloud Computing using ASCII Based Encryption Technique

Shivanna¹,

S²

2019

IJITEE

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“…cost for I/O operation and data storage, and framework component cost. [2] It can be easy to use resources of public cloud according to application requirement, Huankai Chen et al states that management of these resources is an NP-complete problem because resource management complexity increases when application is deployed on cloud. The cloud complexity can delineate in different ways like the different cloud components for resource management are directly/indirectly connected and interact with each other and the failure of one can cause the complete resource management failure.…”

Section: Literature Surveymentioning

confidence: 99%

Automated Notification for Improper Use of AWS Resources

Nayak¹,

L.M.²

2019

IJRTE

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A proper management of resources is very important when they are on public cloud to ensure security, cost optimization etc. Monitoring resources and sending notification to admin or authorized person for all monitored activities helps the corporate institute/organization who is using public cloud like AWS to manage the resources properly, as AWS in an organization is used by different users though they have roles associated with them but they can do any mistake which costs for an organization. Automated notifications can help on this issue when resources are monitored and notified to admin/authenticated person and they can take appropriate actions. This paper focuses on how to make an environment and hardware setup of instance in AWS using AMIs, user data and Terraform, securing and managing S3 from unwanted objects and automated deletion of unwanted resources. It is also important for an organization to verify that developers, tester etc. are working according to their provided environment standard so that they can guarantee that there is not be any problem after or during project development or delivery so, in context of that AMIs can be created and EC2 monitored for AMI.

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“…Wu et al research showed that the use of cloud services to integrate tourism system data can realize the sharing of tourism information resources [2]. Chen et al research pointed out that cloud service can improve the response time of smart tourism management system and improve the efficiency of tourism management [3]. Lee and Hong pointed out that cloud services can handle complex tourism information problems in smart tourism management, which can improve the efficiency of tourism management [4].…”

Section: Introductionmentioning

confidence: 99%

Application of Cloud Service in Smart Tourism Management Based on Weighted Average Algorithm

Feng

2022

Mathematical Problems in Engineering

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Tourism has become the main force driving urban economic development. However, there are problems such as low utilization rate of tourism resources and inconsistency of tourism information. The new smart tourism management model can sense tourism resources, tourist information, tourism development, and other information in a timely manner through terminal devices such as the Internet. The core of smart tourism management is to obtain travel information of travelers through cloud service technology, organize travel information, and recommend personalized travel plans for travelers. Apply cloud services to smart tourism management, and use the weighted average algorithm to make regression predictions on passenger information. This paper compares and analyzes the application of cloud service based on the algorithm for calculating the weighted average and the application of ordinary cloud service in smart tourism management through experiments. The experimental results show that the cloud service by adding weights can improve the forecast of the traveler’s information by 36% and 22%, respectively, compared with the cloud service of the ordinary average algorithm. Also, the effect of tourists’ travel experience is 72.2% and 56.3%, respectively. In the forecast of tourism information in tourism resources, tourism economy, and tourism activities, cloud services by adding weights maintain stable economic growth and improve tourists’ tourism experience. The cloud service in the smart tourism management of the weighted average algorithm can formulate corresponding tourism marketing strategies through the integration and prediction of tourism information, enhance the growth of the tourism economy, and improve the tourism experience of tourists.

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Entropy4Cloud: Using Entropy-Based Complexity to Optimize Cloud Service Resource Management

Cited by 10 publications

References 54 publications

Ensure Data Protection in Cloud Computing using ASCII Based Encryption Technique

Ensure Data Protection in Cloud Computing using ASCII Based Encryption Technique

Automated Notification for Improper Use of AWS Resources

Application of Cloud Service in Smart Tourism Management Based on Weighted Average Algorithm

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