Data Intensive Storage Services For Cloud Environments

With the evolution of digitized data, our society has become dependent on services to extract valuable information and enhance decision making by individuals, businesses, and government in all aspects of life. Therefore, emerging cloud-based infrastructures for storage have been widely thought of as the next generation solution for the reliance on data increases. Data Intensive Storage Services for Cloud Environments provides an overview of the current and potential approaches towards data storage services and its relationship to cloud environments. This reference source brings together research on storage technologies in cloud environments and various disciplines useful for both professionals and researchers.

"This book provides an overview of the current and potential approaches towards data storage services and its relationship to cloud environments, bringing together research on storage technologies in cloud environments and various disciplines useful for both professionals and researchers"--Provided by publisher

This book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual networks as a service; scalable and reliable storage; algorithms that manage vast cloud resources and applications runtime; and programming models that enable pragmatic programming and implementation toolkits for eScience applications. Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks. Most chapters include case studies. Cloud Computing for Data-Intensive Applications targets advanced-level students and researchers studying computer science and electrical engineering. Professionals working in cloud computing, networks, databases and more will also find this book useful as a reference.

Emerging as an effective alternative to organization-based information systems, cloud computing has been adopted by many businesses around the world. Despite the increased popularity, there remain concerns about the security of data in the cloud since users have become accustomed to having control over their hardware and software. Security, Trust, and Regulatory Aspects of Cloud Computing in Business Environments compiles the research and views of cloud computing from various individuals around the world. Detailing cloud security, regulatory and industry compliance, and trust building in the cloud, this book is an essential reference source for practitioners, professionals, and researchers worldwide, as well as business managers interested in an assembled collection of solutions provided by a variety of cloud users.

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Mobile, Secure and Programmable Networking, held in Paris, France, This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Mobile, Secure and Programmable Networking, held in Paris, France, in June 2016. The 17 papers presented in this volume were carefully reviewed and selected from 37 submissions. They discuss new trends in networking infrastructures, security, services and applications while focusing on virtualization and cloud computing for networks, network programming, software defined networks (SDN) and their security.

Microgrids have recently emerged as the building block of a smart grid, combining distributed renewable energy sources, energy storage devices, and load management in order to improve power system reliability, enhance sustainable development, and reduce carbon emissions. At the same time, rapid advancements in sensor and metering technologies, wireless and network communication, as well as cloud and fog computing are leading to the collection and accumulation of large amounts of data (e.g., device status data, energy generation data, consumption data). The application of big data analysis techniques (e.g., forecasting, classification, clustering) on such data can optimize the power generation and operation in real time by accurately predicting electricity demands, discovering electricity consumption patterns, and developing dynamic pricing mechanisms. An efficient and intelligent analysis of the data will enable smart microgrids to detect and recover from failures quickly, respond to electricity demand swiftly, supply more reliable and economical energy, and enable customers to have more control over their energy use. Overall, data-intensive analytics can provide effective and efficient decision support for all of the producers, operators, customers, and regulators in smart microgrids, in order to achieve holistic smart energy management, including energy generation, transmission, distribution, and demand-side management. This book contains an assortment of relevant novel research contributions that provide real-world applications of data-intensive analytics in smart grids and contribute to the dissemination of new ideas in this area.

This book constitutes the refereed proceedings of the 9th International Workshop on Economics of Grids, Clouds, Systems, and Services, GECON 2012, held in Berlin, Germany, in November 2012. The 12 revised full papers presented together with 6 work in progress papers were carefully reviewed and selected from more than 36 submissions. The papers are organized in the following topical sections: market mechanisms, pricing and negotiation; resource allocation, scheduling and admission control; work in progress on tools and techniques for cost-efficient service selection; market modeling; trust; cloud computing in education; and work in progress on cloud adoption and business models.

ISBN:9781793156068 Contents · Chapter 1: Introduction……………………………………………………………….01 1.1 Motivation…………………………………………………………………………..02 1.2 Statement of the Problem…………………………………………………………...03 · Chapter 2: Literature survey…………………………………………………………07 2.1 Previously Published Papers………………………………………………………..07 2.2 Existing Work………………………………………………………………………13 · Chapter 3: Proposed method…………………………………………………………14 3.1 Proposed Method…………………………………………………………………...14 3.2 System Requirements Specification ……………………………………………….14 Functional Requirements…………………………………………………………..15 Non Functional Requirements……………………………………………………..15 User Characteristics………………………………………………………………..16 Output Requirements………………………………………………………………16 Input Requirements………………………………………………………………..16 Software Requirements……………………………………………………………16 Hardware Requirements…………………………………………………………...17 3.3 Block diagram……………………………………………………………………...18 System Architecture……………………………………………………………….19 3.4 System Design…………………………………………………………………….19 Dataflow Diagram………………………………………………………………..19 Flowcharts………………………………………………………………………..20 Context Analysis Diagram……………………………………………………….25 Use case diagram…………………………………………………………………25 State diagram……………………………………………………………………..27 · Chapter 4: Detailed design of the Project……………………………………….….28 4.1 Algorithm………………………………………………………………………….28 Non Steal Algorithm……………………………………………………………...28 Steal Algorithm…………………………………………………………………...28 4.2 Interfacing and Implementation…………………………………………………...28 User Interface……………………………………………………………………..28 Implementation……………………………………………………………………29 Modules…………………………………………………………………………...29 Java………………………………………………………………………………..29 Java Database Connectivity……………………………………………………….33 Java RMI…………………………………………………………………………..37 Java Socket programming…………………………………………………………37 · Chapter 5: Testing of the Project……………………………………………..……..40 5.1 Testing Objectives………………………………………………………………….40 5.2 Testing Principles…………………………………………………………………..40 5.3 Testing Design……………………………………………………………………..40 Whitebox Testing………………………………………………………………….40 Blackbox testing…………………………………………………………………...41 5.4 Code Testing………………………………………………………………………..41 5.5 Testing Strategies…………………………………………………………………...41 Unit testing…………………………………………………………………………42 Integration Testing………………………………………………………………….42 Validation Testing………………………………………………………………….43 5.6 System Testing………………………………………………………………………45 Security Testing…………………………………………………………………….45 Performance Testing………………………………………………………………..45 · Chapter 6: Results and Discussions…………….…………………………………….46 6.1 Snap Shots…………………………………………………………………………..46 Non Steal…………………………………………………………………………...45 Steal…………………………………………………………………………….......56 6.2 Applications…………………………………………………………………………62 6.3 Constraints…………………………………………………………………………..62 · Chapter 7: Conclusion and Scope for future Enhancement ……………………….63 References………………………………………………………………………..........64