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Content Distribution Networks have been attracted a great deal of attraction in recent years on cloud computing. Replica placement problems (RPPs) as one of the key technologies in the Content Distribution Networks have been widely studied. The internet services are hosted by multiple geographically distributed datacenters. For the increasingly expanded utility of Cloud storage, the improvement of resources management and reduces the storage space, cost is complicated issues on data replication. So in order to reduce the data replication, this paper, proposed the concept of Reliability Assurance algorithm (RA). The RA is reducing the file replication from the server and improves the reliability of the server. The RA algorithm identified the data replication on un-accessing files. The unpredicted files called as replicated files, these files occupy a more space on cloud server. The low ranking prediction algorithm identified the unpredicted files on cloud server based on file accessing. Reduced data replication on cloud server it's allows optimizing the storage space and cost. Using the RA and Ranking algorithm combined to reduce the data replication and storage space.

Abstract:In cloud computing, the replication management system has been well adopted in cloud storage applications. To provide the availability and reliability, the replication system replicates the files and can be stored in different server. The system led some complicated issues such as high memory consumption, incurred high storage cost and to access the file is more complicated issues in recent cloud storage applications. In the existing technique, File Accessing Frequency based Ranking (FAFR) Algorithm and Dynamically Reduced Replica for Rarely Accessed files (DRRRA) algorithm work jointly and identify the rarely accessed files and retain the replica in two server other replicated files are deleted. To provide access to more request with 2 or 3-replica is a complicated issue. Thus, this paper proposes a Dynamic replica Creation for Availability enhanced Storage (DRCAES) algorithm which jointly work with FAFR algorithm to predict most frequently accessed files and automatically replicated to other server based on server memory. The aim of this proposed approach is to enhance the availability, thereby reducing the request-response delay time. Thus the proposed approach optimizes the number of replicas, occupied space, and cost.

With the rapid growth of web technology, there is a huge volume of data present in the web for internet users. It also become the place for online learning and exchange ideas . The information gathering has become more important tofind out what other people think about any product, service or organization. This gives an enormous growth and availability of rich-opinion data in various social media such as on-line review site, twitter, face book and personal blogs and so on. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which yields to computational treatment on various opinion and sentiment in text. This survey focus on various techniques and methods for classifYing the opinion from social media datasets and its future aspects.

Cloud computing provides computing power and resources as a service to users across the globe. This scheme was introduced as a means to an end for customer's worldwide, providing high performance at a cheaper cost when compared to dedicated high-performance computing machines. This provision requires huge data-centers to be tightly-coupled with the system, the increasing use of which yields heavy consumption of energy and huge emission of CO2. Since energy has been a prime concern of late, this issue generated the importance of green cloud computing that provides techniques and algorithms to reduce energy wastage by incorporating its reuse. In this survey we discuss key techniques to reduce the energy consumption and CO2 emission that can cause severe health issues. We begin with a discussion on green matrices appropriate for data-centers and then throw light on green scheduling algorithms that facilitate reduction in energy consumption and CO2 emission levels in the existing systems. At the same time the various existing architectures related to green cloud also discussed in this paper with their pros and cons .PALP algorithm has been presented to predict the load and have energy efficiency in overloaded and under loaded systems Keywords: Green cloud, virtualization, dynamic provisioning, Datacenter Efficiency, energy efficiency, PALP algorithm. I. INTRODUCTIONThe ever-increasing demand is handled through large-scale datacenters, which consolidate hundreds and thousands of servers with other infrastructure such as cooling, storage and network systems. Many internet companies such as Google, Amazon, eBay, and Yahoo are operating such huge datacenters around the world. The commercialization of these developments is defined currently as Cloud computing, where computing is delivered as utility on a pay-as-you-go basis. Users can store, access, and share any amount of information in Cloud. Cloud computing also offers enormous amount of compute power to organizations which require processing of tremendous amount of data generated almost every day. According to IDC (International Data Corporation) report , the global IT Cloud services spending is estimated to increase from $16 billion in 2008 to $42 billion in 2012, representing a compound annual growth rate (CAGR) of 27%. attracted by this growth prospects, Web-based companies (Amazon, eBay, Salesforce.com), hardware vendors (HP, IBM, Cisco), telecom providers (AT&T, Verizon), software firms (EMC/VMware, Oracle/Sun, Microsoft) and others are all investing huge amount of capital in establishing Cloud datacenters. Clouds are essentially virtualized datacenters and applications offered as services on a subscription basis as shown in Figure 1. They require high energy usage for its operation. Thus, for a datacenter, the Applications of Green Cloud Computing in energy cost is a significant component of its operating and up-front costs. In addition, in April 2007, Gartner estimated that the Information and Communication Technologies (ICT) industry generates about...

Now-a-days, most hospitals and medical centers is to manage huge volume of patient’s medical records into database. It is essential to collect and access this information everywhere, to increase productivity and improve quality of health cares. Need to access electronic health information across the world and improve the quality of healthcare to patients will highlight importance of using cloud computing architecture in this area. But, despite the benefits of cloud computing applications for health care, the security challenges of cloud should be addressed. In this paper, we introduce and describe a new proposed model called Electronic Health Record with Multi-Clouds Databases. This model will ensure the privacy of persons in a network and multi-cloud environment using cryptographic algorithm and distributed storage. This model is able to store any type of data such as number, string, image, etc. in a cloud environment. The Electronic Health Record with Multi-Clouds Database prevent from illegal intrusion and access to data in cloud environment and provide services such as data integrity, confidentiality and permanent availability of data in a safe and secure way. The evaluation results of proposed method show that despite increasing time of information storage and retrieval and System overhead