Cloud computing is a term which is employed to explain different concepts of computing that includes several PCs linked through a real time network of communication such as internet. Cloud computing is a developing paradigm which has in the recent times attracted lot of researchers because of its capability to decrease the costs related with computing. Due to the rapid growth of cloud computing techniques the rapid raise of services of cloud became outstanding. In today’s world data security is a challenging problem. The essential issue related with cloud computing is the security of cloud and the proper cloud implementation over the network. In cloud the models of security namely confidentiality, authentication, accessibility, data recovery and data integrity. It includes services of cloud, model of deployment, security problems and barriers in cloud computing. Nowadays, enhancing security of data in cloud has become a major concern and the solution for this is to apply appropriate encryption techniques while storing the data in the cloud. This study proposes a hybrid algorithm to enhance security of cloud data using encryption algorithm. The main purpose of using encryption algorithms is to secure or store huge amount of information in cloud. This study combines homographic encryption and blowfish encryption to enhance cloud security. It can be concluded that if the security issues are resolved then the future will be the solutions for cloud storage for small as well as large firms.

Enhancing the security of cloud data using hybrid encryption algorithm

An In-depth Analysis and Study of Load Balancing Techniques in the Cloud Computing Environment

Load balancing techniques in cloud computing environment: A review

The past few years have witnessed the emergence of a novel paradigm called cloud computing. CC aims to provide computation and resources over the internet via dynamic provisioning of services. There are several challenges and issues associated with implementation of CC. This research paper deliberates on one of CC main problems i.e. load balancing (LB). The goal of LB is equilibrating the computation on the cloud servers such that no host is under/ overloaded. Several LB algorithms have been implemented in literature to provide effective administration and satisfying customer requests for appropriate cloud nodes, to improve the overall efficiency of cloud services, and to provide the end user with more satisfaction. An efficient LB algorithm improves efficiency and asset's usage through effectively spreading the workload across the system's different nodes. This review research paper objective is to present critical study of existing techniques of LB, to discuss various LB parameters i.e. throughput, performance, migration time, response time, overhead, resource usage, scalability, fault tolerance, power savings, etc. The research paper also discusses the problems of LB in the CC environment and identifies the need for a novel LB algorithm that employs FT metrics. It has been found that traditional LB algorithms are not good enough and they do not consider FT efficiency metrics for their operation. Hence, the research paper identifies the need for FT efficiency metric in LB algorithms which is one of the main concerns in cloud environments. A novel algorithm that employs FT in LB is therefore proposed.

A Comprehensive Study of Load Balancing Approaches in the Cloud Computing Environment and a Novel Fault Tolerance Approach

Distributed computing is a technology which contributes new stack of computing placed on virtualization of assets. With the most recent pattern of building up the applications on cloud, which empower the customer to get to it in an expanding way, by this the heap climbing quickly on the servers. Due to this sense of growing the stack on the servers, the resources are not efficiently exploited. So this is the logic why it has been brought in this era. The main ambition of us is to balance the work on each & every nodes. This will help to distribute the work on different nodes by remembering that no hubs ought to be overloaded. Thus this paper include what is docker and container by this clear cut ideas will helps us out to understand the docker swarm and kubernetes technology. Finally the paper shows how the services is been access by the node in a cluster with the help out docker swarm and kubernetes and also it provide the difference between them.

Docker Swarm and Kubernetes in Cloud Computing Environment

Cloud computing, as of today has boomed and enhanced the use of internet as well as network services where the capability of one node can be used by other nodes. Gigantic-scale heterogeneous distributed computing environments (like Clouds and Computational Grids) can easily access the vast amount of computing resources at very economical cost. This has implications for many technical issues in Service Oriented Architectures and Internet of Services (IoS)-type applications; including high interoperability, fault tolerance, high availability and scalability. Central to these issues is the establishment of effective load balancing techniques. It is clear that the scale and complexity of these systems makes centralized assignment of jobs to specific servers infeasible; requiring an effective distributed solution. To properly manage the resources of the service provider, we require balancing the load of the jobs that are submitted to the service provider.

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Proposed Efficient and Enhanced Algorithm in Cloud Computing

Within a large-scale computing atmosphere the actual reasoning details centers and end users are usually geographically dispersed through the globe. The most significant for centers is how to handle and repair the actual countless needs that happens often by end users proficiently and correctly. Load leveling helps to have a great individual achievement and useful resource operation ratio by guaranteeing a simple yet effective and honest part of every computing resource. Appropriate Load Balancing aids in minimizing useful resource intake, employing fail-over, enabling, scalability, averting bottlenecks and over-provisioning etc. In this paper, “Central Load Balancer” a load leveling formula is overviewed to balance the burden among virtual products with reasoning data center. Final results exhibit that the formula can perform superior insert leveling in large-scale reasoning computing surroundings when in comparison to preceding balancing algorithms.

Efficient load balancing using improved central load balancing technique

Cloud computing provides services over web with powerful resizable resources. Cloud computing facilities give advantages to the end user in terms of cost and ease of use. Cloud computing services require security during transfer of important data and censorious applications to shared and public cloud environments. To store information on cloud, client needs to exchange their information to the outsider who will deal with and store the information. So it is imperative for any association to secure that information. Information is said to be secured if the classification, accessibility, security is available. Numerous calculations have been use to secure the information. In this paper diverse calculations will examine for security of information in distributed computing.

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Security Algorithms in Cloud Computing

Cloud computing is growing vastly by providing various functions such as global resource scheduling, fault tolerance, reliability and load balancing. cloud security is still a barrier to adoption of this service. Cloud computing has become a familiar term and most used technology around the world. It is a utility computing model which has huge potential and promising innovations that anyone cannot imagine. As more and more businesses are storing there data in cloud, concerns are growing about how safe this environment is. Cloud Security incorporates many security restrictions from the point of view of the customer and cloud providers. In the context of customers, who essentially concerned about that; where the data is stored? Who has the right to see the data? This paper is focused on security issues in cloud computing. In this we use cryptographic algorithm for securing encryption of data over our cloud. We also maintain the integrity of the data using hash codes.

Proposed hybrid RSA algorithm for cloud computing

A cloud-based service broker provides inter mediation to user request and resources required by user. It helps for the better performance of the cloud and user get fast processing speed. On the other hand, load balancing among cloud resources ensures efficient use of a physical infrastructure and at the same time minimizes response time. Factors like communication overhead results in the loss of energy in cloud environment. We have observed that this energy can be saved by applying fuzzy rules over it. In this paper we have proposed one algorithm in which we implement fuzzy rules with service broker algorithm to enhance its performance. We implement this algorithm in simulation environment and results prove the improvement in existing and proposed algorithm.

Tejinder Sharma

Papers

Proposed Efficient and Enhanced Algorithm in Cloud Computing

Efficient load balancing using improved central load balancing technique

Security Algorithms in Cloud Computing

Proposed hybrid RSA algorithm for cloud computing

Enhancement in performance of service broker algorithm using fuzzy rules