In today's world, large group migration of applications to the fog computing is registered in the information technology world. The main issue in fog computing is providing enhanced quality of service (QoS). QoS management consists of various method used for allocating fog‐user applications in the virtual environment and selecting suitable method for allocating virtual resources to physical resource. The resources allocation in effective manner in the fog environment is also a major problem in fog computing; it occurs when the infrastructure is build using light‐weight computing devices. In this article, the allocation of task and placement of virtual machine problems is explained in the single fog computing environment. The experiment is done and the result shows that the proposed framework improves QoS in fog environment.

Improving quality‐of‐service in fog computing through efficient resource allocation

The eye disease is prominent in many nations including India and is said to affect up to 80% patients having diabetes. Diabetic Retinopathy is the medical term for denoting the damages to retina caused due to diabetes mellitus. Implying K means Clustering algorithm for coarse segmentation, hard distils are identified with better accuracy than the classical approaches. The variance based methods for segmenting hard distils are reviewed in the surveys and had to be improved. To remove the background features from the picture and conserve computational costs, a mathematical morphological method is used to reconstruct the image features for better segmentation. The results obtained for 96.4% sensitivity and 97.2% specificity. Along with this advantage, a graphical user interface is developed which will simplify the usage of this system. This model will divide the fragments into regions of interests having lesions and normal regions carrying normal features. After this segmentation, ophthalmologists will utilize the results to grade diabetic retinopathy and devise a treatment plan.

An Effective Detection Mechanism for Localizing Macular Region and Grading Maculopathy.

SUMMARY Blockchain is one of the prominent rapidly used technol- ogy in the last decade in various applications. In recent years, many researchers explored the capabilities of blockchain in smart IoT to address various security challenges. Integration of IoT and blockchain solves the security problems but scalability still remains a huge challenge. To address this, various AI techniques can be applied in the blockchain IoT framework, thus providing an e ﬃ cient information system. In this survey, various works pertaining to the domains which integrate AI, IoT and Blockchain has been explored. Also, this article discusses potential industrial use cases on fusion of blockchain, AI and IoT applications and its challenges. words:

https://www.jstage.jst.go.jp/article/transinf/E105.D/2/E105.D_2021BCR0001/_pdf

Fusion of Blockchain, IoT and Artificial Intelligence - A Survey

With the improvement of distributed computing, outsourcing information to cloud server pulls in loads of considerations. To ensure the security and accomplish adaptable fine-grained record access control, (ABE) was proposed and utilized as a part of distributed storage framework. Be that as it may, client repudiation is the essential issue in ABE plans. In this article, we give a cipher text-arrangement trait-based encryption (CP-ABE) plan with effective client repudiation for distributed storage framework. The issue of client repudiation can be explained productively by presenting the idea of client gathering. At the point when any client leaves, the gathering supervisor will redesign client’s PK with the exception of the individuals, who have been declined. Also, CP-ABE plan has substantial calculation cost, as it becomes straightly with the intricacy for the entrance structure. To diminish the calculation cost, we outsource high calculation burden to cloud administration suppliers without spilling document substance and mystery keys. Notably, our plan can withstand conspiracy assault performed by denied clients collaborating with existing clients.

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Extensible and fine-grained characteristics-positioned information storage in cloud computing

Power management has turned into a basic plan parameter as more transistors are coordinated on a solitary chip. Bringing down the supply voltage is one of the alluring ways to deal with spare intensity of the variable outstanding task at hand framework, and to accomplish long battery life. DVFS is one of the effective methods to lessen the vitality utilization. The principle thought behind DVFS plan is to powerfully scale the supply voltage of CPU, to give enough circuit speed to process the framework remaining burden so as to meet the time and execution, along these lines lessening power. The problem faced by users in cloud computing is energy consumption. Some resources in cloud stay idle for some time. This idleness of resources consume energy thereby causing more consumption of energy. Both the hardware and software reduces the energy consumptions. The results shows that proposed model reduces the consumption of energy by using DVFS.

Bhanupriya Sharma

Papers

Augmenting SCA project management and automation framework