Online ISSN: 2515-8260

Keywords : QoS


Trusted Cloud Service Selection Using Score Based Algorithm

P. HARSHA VARDHAN; M. RAJA S UGUNA

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 1619-1623

Cloud Computing is the network-based computing service to the user supported by internet. The computing service may be a data storage, hardware, software or any internet-based service required for an individual user or a business organisation. The cloud services are On-demand services available to the users at anytime and anywhere. The Cloud Service provider is responsible for monitoring data, firewalls, intrusion detection management and other security concerns while providing cloud-based services to the end users. There are many challenges in selecting trusted cloud service. Many Cloud Service Selection Procedures are there which are based on data Models, decision making procedures, context and parameters of cloud services. In this paper, proposed a trusted Cloud service based on score based algorithm.

Multi-Attribute Performance Analysis Model For Collaborative Cloud Environment Using TCP

VelMurugeshKumar. N; R. Nedunchelian

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 5, Pages 73-90

The problem of collaborative computing in the cloud environment has been well studied. Several approaches available to handle the issue of collaborative computing and still suffer to achieve higher performance in different QoS parameters. The performance of various simulation models has been analyzed for different parameters in this paper. To improve performance an efficient multi-attribute performance analysis model has been presented. The method first presents a collaborative content sharing strategy (CCSS) which maintains a dual copy of any resource in the cloud which has been accessed by different users. The method enforces an attribute-based update restriction (ABUR) algorithm which uses different keys to restrict malicious updating from different users. The public auditing has been enforced with ABUR and CCSS algorithms. The multi-attribute performance analysis model estimates various QoS parameters like throughput, completion, and public auditing on various simulation models of the cloud environment. A testbed is generated to simulate the performance of different cloud computing tools in a collaborative environment. The performance of simulation models has been measured and compared with the results of other models in detail

An Efficient MIMO-OFDM Based Advanced LTE Standard with QoS for Next Generation Wireless Networks

Mr.Arempula Sreenivasa Rao; Brij Bihari Tiwari; Dasari.Subba Rao

European Journal of Molecular & Clinical Medicine, 2018, Volume 5, Issue 1, Pages 123-130

Multiple-Input Multiple-Output (MIMO) wireless systems using OFDM promise to provide the needed performance for future consumer products. Multiple-input multiple-output (MIMO) techniques have been actively pursued in underwater acoustic communications recently to increase the data rate over the bandwidth-limited channels. In this paper, we present a MIMO system design, where spatial multiplexing is applied with OFDM signals for LTE network. Providing QoS while optimizing the LTE network in a cost efficient manner is very challenging. Thus, radio scheduling is one of the most important functions in mobile broadband networks. In this paper we are implementing MIMO-OFDM systems for LTE standards for mobile communication.