File Recovery Technique using Mirroring concept in Cloud as Storage as a Service

Cloud computing is the use of computing resources (hardware and software) that are delivered as a service over a network. The name comes from the use of a cloud-shaped symbol as an abstraction for the complex infrastructure it contains in system diagrams. Cloud Computing entrusts remote services with a user’s data, software and computation. It represents an emerging technology that permits the user to store big amount of data in cloud server and can use whenever required from anywhere. It provides various kinds of services to its users such as SaaS, IaaS, and PaaS. Storage-as-a-service is also a service delivered by cloud infrastructure in which big amount of data can be stored in cloud. As valuable and vital data of enterprises are stored at a remote location on cloud so we must be assured that user’s data must be safe and be available at any time. In situations like hardware failure, data corruption or any accidental deletion our data may no longer remain available. To maintain the data security and we need a data backup technique for cloud platform to recover valuable and vital data efficiently. The purpose of recovery technique is to help user to retrieve information from any mirror server when main server lost his data and unable to provide data to the user

A survey on various backup and recovery technique in cloud

Cloud computing is an emerging technology that allows their user to store large amount of data in cloud storage and it can be use whenever required, from anywhere. It provides numerous kinds of services to its users such as Software as a service, Infrastructure as a service, and Platform as a service etc. Storage-as-a-service is one of the services provided by cloud infrastructure in which large amount of data is stored in cloud. As valuable and vital data of enterprises are stored at a remote location on cloud so we must be assured that user’s data must be safe and be available at any time. In situations like Flood, Fire, earthquakes or any hardware malfunction or any accidental deletion our data may no longer remain available. To maintain the data security and availability there must be some data backup technique for cloud platform to recover valuable and vital data efficiently. This paper provides a review on various backup techniques used for Cloud Computing platform regarding this concern

Enriched multi objective optimization model based cloud disaster recovery

AbstractIn cloud computing massive data storage is one of the great challenging tasks in term of reliable storage of sensitive data and quality of storage service. Among various cloud safety issues, the data disaster recovery is the most significant issue which is required to be considered. Thus, in this paper, analysis of massive data storage process in the cloud environment is performed and the massive data storage cost is based on the data storage price, communication cost and data migration cost. The data storage reliability involves of data transmission, hardware dependability and reliability. Reliable massive storage is proposed by using Enriched Multi Objective Optimization Model (EMOOM). The main objective of this proposed optimization model is using Enriched Genetic Algorithm (EGA) for efficient Disaster Recovery in a cloud environment. Finally, the experimental results show that the proposed EMOOM model is effective and positive and reliable

PREEMPTIVE PRIORITY SCHEDULING WITH AGING TECHNIQUE FOR EFFECTIVE DISASTER MANAGEMENT IN CLOUD

Cloud computing has intern the attention of today’s leading IT industries offering huge potential for more flexible, readily scalable and cost effective IT operation. There is a significant anticipation for emergent innovation and expanded capabilities of a cloud-based environment as the cloud services are still in the infant stage. With all technology innovation, the biggest gain will be realized when the Cloud services are efficiently utilized. One of the prime contributions of Cloud is its capacity to handle a huge amount of data for either processing or storing. The inadequacy of this model is that it is prone to disaster. Some of the popular scheduling techniques applied by the researchers and leading IT industries are Round Robin, Preemptive scheduling etc. This research focuses on a novel approach for disaster management through efficient scheduling mechanism.This paper presents a Priority Preemptive scheduling (PPS) with aging of the low priority jobs in Cloud for disaster management. The implementation results show that the jobs at any instance of time are provided with the resources and henceforth preventing them to enter the starvation, which is one of the prime causes for disaster

How can startups make use of cloud services

The purpose of this project is to discuss the technical obstacles that small and medium-sized enterprises (SMEs) face, as well as how cloud computing can help to solve these issues. Cloud computing has the ability to radically change competitive environments by offering a new forum for generating and delivering business value and market development. Small and medium-sized enterprises (SMEs) also lack sufficient technological capital. They could either buy expensive software customized by large companies or develop their own low-cost applications with limited functionality. The research questions answered in this project are as follows: 1. How can a startup build a cost-effective website and host it on a cloud platform? 2. How can a startup make a website always available? 3. How can a startup resolve the low latency problem using cloud services? 4. How can a startup make use of different cloud services to reduce the use of infrastructure and technology resources. The methodology used for this project is to understand what is cloud computing, cloud implementation models, cloud computing services, and their benefits. The Implementation Solution is offered by evaluating various cloud vendors such as AWS and Microsoft Azure and the various services they provide. This study provides a realistic demonstration of designing and hosting a website in AWS and Microsoft Azure to support this approach. This study offers insights and suggestions to SMEs for implementing various cloud services to achieve economies of scale. The project concluded that cloud computing is simple to use, inexpensive, eliminates the need for physical office space, and eliminates the need to transport storage devices. Because of its scalability and faster content delivery, as well as various business models, the cloud is an excellent choice for startups

MDAS_DBRCC: Data Backup and Recovery Technique in Cloud Computing for Education Industry

Cloud computing also offers several services to its clients in departments such as education, healthcare, military, government, and sports. The storage of each service, which keeps a huge amount of electronic data in a cloud database, is one of the services provided by cloud infrastructure. In the main cloud, this type computes massive amounts of private data. As a result, information retrieval solutions that are both effective and efficient are required. When the server deletes the lost data and cannot transmit any information to the client, the recovery method's main goal is to assist the user in collecting data from each server backup. Users can benefit from cloud computing by storing data, accessing data from anywhere, and retrieving data at any time. As data on the cloud is generated at such a quick rate, speed is one of the most important aspects of cloud computing. It's simple to save files in the cloud and then retrieve it again. However, the difficult problem is to safely store and retrieve data from the cloud. We suggested a way for securely storing data in the cloud utilizing encryption and decryption methods in this work. We also employed a compression module to compress data before putting it in the cloud

Disaster recovery and business continuity for database services in multi-cloud

Cloud database services are used to reduce the cost of storage in information technology fields and provide other benefits such as data accessibility through internet. The single cloud is defined as a group of servers whether one or multiple data centres offered by a single provider. However, moving from single cloud to multi- clouds is reasonable and important for many reasons. The services of single clouds are still subject to outage which affects the availability of the database. In the case of disaster event, the single cloud is subject to data lost partially or fully. The single cloud is predicted to become less popular with customers due to risks of database service availability failure and the possibility of malicious insiders in the single cloud. With Disaster Recovery (DR) in cloud, resources of multiple cloud service providers can be utilized cooperatively by the DR service provider. Therefore, there is a necessity to develop a practical multi-cloud based DR framework with the aim of minimizing backup cost with respect to Recovery Time Objective (RTO) and Recovery Point Objective (RPO) in order to reduce the risk of data loss. The framework attempts to maintain the availability of data by achieving high data reliability, low backup cost, and short recovery and ensure continuity for business before, during and after the disaster incident. This paper aims at proposing a multi- cloud framework maintaining high availability of data before, during and after the disaster occurrence. Besides, ensures the continuity of the database services during and after the disaster

Cloud Computing: Challenges And Risk Management Framework

Cloud-computing technology has developed rapidly. It can be found in a wide range of social, business and computing applications. Cloud computing would change the Internet into a new computing and collaborative platform. It is a business model that achieves purchase ondemand and pay-per-use in network. Many competitors, organizations and companies in the industry have jumped into cloud computing and implemented it. Cloud computing provides us with things such as convenience, reduced cost and high scalability. But despite all of these advantages, there are many enterprises, individual users and organizations that still have not deployed this innovative technology. Several reasons lead to this problem; however, the main concerns are related to security, privacy and trust. Low trust between users and cloud computing providers has been found in the literature

A new MDA-SOA based framework for intercloud interoperability

Cloud computing has been one of the most important topics in Information Technology which aims to assure scalable and reliable on-demand services over the Internet. The expansion of the application scope of cloud services would require cooperation between clouds from different providers that have heterogeneous functionalities. This collaboration between different cloud vendors can provide better Quality of Services (QoS) at the lower price. However, current cloud systems have been developed without concerns of seamless cloud interconnection, and actually they do not support intercloud interoperability to enable collaboration between cloud service providers. Hence, the PhD work is motivated to address interoperability issue between cloud providers as a challenging research objective. This thesis proposes a new framework which supports inter-cloud interoperability in a heterogeneous computing resource cloud environment with the goal of dispatching the workload to the most effective clouds available at runtime. Analysing different methodologies that have been applied to resolve various problem scenarios related to interoperability lead us to exploit Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) methods as appropriate approaches for our inter-cloud framework. Moreover, since distributing the operations in a cloud-based environment is a nondeterministic polynomial time (NP-complete) problem, a Genetic Algorithm (GA) based job scheduler proposed as a part of interoperability framework, offering workload migration with the best performance at the least cost. A new Agent Based Simulation (ABS) approach is proposed to model the inter-cloud environment with three types of agents: Cloud Subscriber agent, Cloud Provider agent, and Job agent. The ABS model is proposed to evaluate the proposed framework.Fundação para a Ciência e a Tecnologia (FCT) - (Referencia da bolsa: SFRH SFRH / BD / 33965 / 2009) and EC 7th Framework Programme under grant agreement n° FITMAN 604674 (http://www.fitman-fi.eu

Disruptive technology business models in cloud computing

Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2010.Cataloged from PDF version of thesis.Includes bibliographical references.Cloud computing, a term whose origins have been in existence for more than a decade, has come into fruition due to technological capabilities and marketplace demands. Cloud computing can be defined as a scalable and flexible shared computing solution in which third-party suppliers use virtualization technologies to create and distribute computing resources to customers on-demand, via the Internet browser. Cloud computing is steadily replacing more rigid software and services licensing models in both small/medium business (SMB) and in the enterprise. This analysis poses a twofold examination of cloud computing as a disruptive technology. First, cloud computing has replaced existing software and services licensing business models, owing to its scalability, flexibility, and utility-based pricing. Second, as cloud computing takes hold as the prominent computing services business paradigm, other disruptive forces will surface to further integrate and differentiate the cloud computing landscape. These forces include the customer-driven need to create hybrid clouds between private and public cloud domains, vendor-agnostic solutions in the cloud, along with open standards to make cloud computing ubiquitous. Three criteria are assessed in characterizing cloud computing as a disruptive technology (Christensen, 2002).1 First, cloud computing as an innovation, must enable less-skilled and/or less-wealthy individuals to receive the same utility as only the more-skilled and/or more-wealthy intermediaries could formerly attain. Second, cloud computing must target customers at the low end of a market with modest demands on performance, but with a performance trajectory capable of exceeding those demands and thus taking over markets, tier by tier. As a corollary to this second criterion, the cloud computing business model allows the disruptive innovator to achieve attractive returns at prices that are unattractive to the incumbents. Third, an ecosystem in the form of a fully integrated single entity or a set of modular entities is required to successfully support the disruptive innovation. The analysis has shown that cloud computing is replacing traditional outsourcing and premise-based data centers for software applications and services delivery. Scalability, flexibility, virtualization, and cost are essential business drivers. However, current cloud computing solutions, especially in the enterprise, lack sufficient security and customer control. This gives rise to numerous subordinate disruptive business solutions which enable the enterprise and emerging demographics to develop and deploy their applications and services in a secure, controlled, profitable, and ubiquitous environment.by Alexis Krikos.S.M.in System Design and Managemen