Data Mining Method

Cloud computing is an emerging technology. With its huge demand, it is rapidly growing. Cloud computing is defined as "a type of Internet-based computing", where different services such as servers, storage and applications are delivered to an organization’s technological infrastructure through the Internet.

International Journal of Cloud Computing: Peer-reviewed open access journal, it publishes research crossing all aspects of Cloud Computing. Basically centered around center components, including Cloud applications, Cloud systems and the advances that will prompt the Clouds without bounds, the journal will likewise show review and survey papers that present new bits of knowledge and establish the frameworks for encouraging exploratory and experimental work. The journal disseminates research that imparts progressed hypothetical establishing and functional application of Clouds and related systems, as empowered by mixes of web-based programming, advancement stacks and database availability and virtualized equipment for storing, handling, analysis and visualizing data. A scope will look at Clouds nearby such different standards as Peer to Peer (P2P) figuring, Cluster processing and Grid registering. Scope reaches out to issues of administration, governance, trust and

Cloud computing is an emerging model where users can gain access to their applications from anywhere through their connected devices. A simplified user interface makes the infrastructure supporting the applications transparent to users. The applications reside in massively-scalable data centers where compute resources can be dynamically provisioned and shared to achieve significant economies of scale. A strong service management platform results in near-zero incremental management costs when more IT resources are added to the cloud. The proliferation of smart mobile devices, high speed wireless connectivity, and rich browser-based Web 2.0 interfaces has made the network-based cloud computing model not only practical but

In its infancy, data mining was as limited as the hardware being used. Large amounts of data were difficult to analyze because the hardware simply could not handle it [1]. The term "data mining" first began appearing in the 1980 's largely within the research and computer science communities. In the 1990 's it was considered a subset of a process called Knowledge Discovery in Databases of KKD [1]. KKD analyzes data in the search for patterns that may not normally be recognized with the naked eye. Today however, data mining does not limit itself to databases,

Abstract— As Cloud Computing is considered as the most influential technology in IT world which provides many facilities and increases the capability of our system without any extra hardware installment. So this paper focuses on the fault tolerance of web application by one of the major cloud service provider Amazon. We will provide the ways on the process adopted by Amazon and how we can improve the existing techniques of fault tolerance. We provide the detail infrastructure of the Amazon Web application design. Also the important part covered in this paper is the computation done in cloud computing. As it is required that the computation should be in complete secure way and also doesn’t get infected by malicious and faulty cloud. So we define the ways to employ the method and how to distribute the data to different clouds. We will demonstrate this using the calculation of matrix multiplication.

Cloud Computing is an innovating new IT service that enables multiple services like storage, web hosting and computing under the same roof. Many companies are moving their services to this technology with the flexibility of “pay as you go” model where a customer pays only for the services used leading to cost saving for them. It also helps in terminating the need for large infrastructure maintenance and development. Multiple Virtual Machines (VMs) having varying resource locations can be operated together by a physical machine through utilization of hardware virtualization by Clouds [1]. There can be an imbalance in a PM due to a varying load of each VM due to over load of resource demand and it can affect the performance of VMs on the PM

The Important of Cloud Computing is increasing and it is receiving a growing attention in Scientific & Industrial Communities. Cloud computing is one of the top 10 most important technologies and has a greater possibility in successive years by companies and organizations. Cloud computing implement everywhere, favourable, on demand network access to a shared pool of configurable computing resources (e.g. networks, servers, storage, applications and servers) that can be immediately supply and released with minimal management effort.

Data mining or Knowledge Discovery in Databases (KDD) is discovering patterns from large data groups through methods of artificial intelligence, machine learning ,statistics, and database systems. The aim of data mining process is to extract information from a data group and switch it to an ideal format for future . The data mining process comprise of database and data management aspects, data preprocessing, inference, complexity of discovered structures, and updating.

The growth of cloud services has begun a transition of companies to partially or completely move services and abandon on-site data centers in favor of a cloud based solution. This movement has become a phenomenon for businesses; however, before a business implements any type of cloud solutions it must consider several things.

Cloud computing is adequate and extensible and has diverse of nodes with distributed computing resources in distinctive locations. So maintaining the stability and processing various tasks in the cloud computing environment is a complicated problem to make it equal. Since there will be discrete tasks reporting into the cloud we cannot anticipate those processing tasks and the capacities of each node in the cloud alters.

High convenience places additional rigorous demands on the system, requiring minimum levels of service and strength within the face of failures. An oversized spectrum of applications would like higher levels of accessibility from their Database Management System (DBMS), as well as real period of time and embedded systems, internet applications and alternative sorts of online systems. Availability can be defined as the time that a system or resource is available for use. The definition of high availability is typically measured according to its percentage of absolute availability where 100 percent means that the resource is available all of the time and there is no downtime. However, 100 percent availability is very difficult to achieve.

Abstract— the great emergence of mobile cloud computing has gained lots of interest in these recent years. Mobile cloud computing consists of mobile devices and cloud computing offering mobile cloud environment by using a huge number of different mobile devices. Any device uses mobility such as laptops, tablets, and smart phones is considered as a mobile device. Due to the great improvement of wireless networks like 4G and the expansion of use of mobile device, many researchers are interested to provide different methods to use mobile resources for distributed processes to compute many applications in mobile cloud environment. Although the last mobile devices have improved processing power, there are some limitations in power capacity, unpredictable network conditions, and connections availability that must be considered in order to use mobile devices as resource. These dynamic changes may disconnect a mobile device from the cloud computing and then prevent applications from completion. In other words, these problems may cause a system to fault more frequently due to these changes. Therefore, in order to increase the stability of these devices, there should be a monitoring technique to tolerate system faults. In this paper, we focus on Markov Chain, which precisely collects and analyzes the information of states and proactively predicts the status of future state in order to solve the volatility and instability of mobile devices. Also, we study two fault tolerant methods,

In today’s world, the use of High Performance computing (HPC) is increasing in science and technology, data crunching and data analysis problems. HPC uses power of parallel processing to solve advanced problems efficiently and in a desired time. The HPC users are now looking in Clouds as an alternative to solve these problems in a cost-effective manner. Using a cloud rather than a dedicated HPC cluster reduces the overall cost of the infrastructure setup and its uses. Cloud provides elasticity, virtualization and resource control and utilization. HPC provides good performance on the other hand cloud offers cost-effectiveness

Abstract - Network developing and Virtualization rising more and more in indoor Environment (POIs) can provide plenty of bandwidth and computing resources. At the same time people are suffering from the mobile device with limited resources. This leads to a novel local cloud computing paradigm in which mobile device can leverage nearby resources to facilitate task execution. Cloud computing is a computing resources such as processing, memory, and storage are not physically pres¬ent at the user’s location.

This paper does a survey on the current dynamic load balancing strategies to meet the need of cloud computing environments. This survey starts with an overview of each of these strategies and approaches, then describes the properties and finally compares them based on multiple criteria like : Resource Utilization, Traffic Management, Throughput, Response Before getting into the challenges and different cloud computing techniques, few areas like its architecture and how it differs from traditional data centers, need to be discussed. Now conventionally a cloud system is divided into two components - front-end and backend.[29]. Both of these two components are generally connected with each other via internet. As the name suggests, Front end is what a user sees and on the other hand,