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Computation and Storage in the Cloud

Computation and Storage in the Cloud
Understanding the Trade-Offs

by Dong Yuan,Yun Yang,Jinjun Chen

  • Publisher : Newnes
  • Release : 2012-12-31
  • Pages : 128
  • ISBN : 0124078796
  • Language : En, Es, Fr & De
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Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users Describes several novel strategies for storing application datasets in the cloud Includes real-world case studies of scientific research applications Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users Describes several novel strategies for storing application datasets in the cloud Includes real-world case studies of scientific research applications

Exam Prep for: Computation and Storage in the Cloud

Exam Prep for: Computation and Storage in the Cloud
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2021
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Introduction to Cloud Computing

Introduction to Cloud Computing
A Cloud Series - Part 1

by Praveen M

  • Publisher : PRAVEEN M
  • Release : 2020-10-23
  • Pages : 41
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Cloud computing has recently emerged as one of the buzzwords in the ICT industry. Numerous IT vendors are promising to offer computation, storage, and application hosting services and to provide coverage in several continents, offering service-level agreements (SLA)-backed performance and uptime promises for their services. While these "clouds" are the natural evolution of traditional data centers, they are distinguished by exposing resources (computation, data/storage, and applications) as standards-based Web services and following a "utility" pricing model where customers are charged based on their utilization of computational resources, storage, and transfer of data. This book explains the importance and fundamentals of Cloud Computing Concepts

Searchable Storage in Cloud Computing

Searchable Storage in Cloud Computing
A Book

by Yu Hua,Xue Liu

  • Publisher : Springer
  • Release : 2019-02-08
  • Pages : 204
  • ISBN : 9811327211
  • Language : En, Es, Fr & De
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This book presents the state-of-the-art work in terms of searchable storage in cloud computing. It introduces and presents new schemes for exploring and exploiting the searchable storage via cost-efficient semantic hashing computation. Specifically, the contents in this book include basic hashing structures (Bloom filters, locality sensitive hashing, cuckoo hashing), semantic storage systems, and searchable namespace, which support multiple applications, such as cloud backups, exact and approximate queries and image analytics. Readers would be interested in the searchable techniques due to the ease of use and simplicity. More importantly, all these mentioned structures and techniques have been really implemented to support real-world applications, some of which offer open-source codes for public use. Readers will obtain solid backgrounds, new insights and implementation experiences with basic knowledge in data structure and computer systems.

Secure Cloud Computing

Secure Cloud Computing
A Book

by Sushil Jajodia,Krishna Kant,Pierangela Samarati,Anoop Singhal,Vipin Swarup,Cliff Wang

  • Publisher : Springer Science & Business Media
  • Release : 2014-01-23
  • Pages : 343
  • ISBN : 1461492785
  • Language : En, Es, Fr & De
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This book presents a range of cloud computing security challenges and promising solution paths. The first two chapters focus on practical considerations of cloud computing. In Chapter 1, Chandramouli, Iorga, and Chokani describe the evolution of cloud computing and the current state of practice, followed by the challenges of cryptographic key management in the cloud. In Chapter 2, Chen and Sion present a dollar cost model of cloud computing and explore the economic viability of cloud computing with and without security mechanisms involving cryptographic mechanisms. The next two chapters address security issues of the cloud infrastructure. In Chapter 3, Szefer and Lee describe a hardware-enhanced security architecture that protects the confidentiality and integrity of a virtual machine’s memory from an untrusted or malicious hypervisor. In Chapter 4, Tsugawa et al. discuss the security issues introduced when Software-Defined Networking (SDN) is deployed within and across clouds. Chapters 5-9 focus on the protection of data stored in the cloud. In Chapter 5, Wang et al. present two storage isolation schemes that enable cloud users with high security requirements to verify that their disk storage is isolated from some or all other users, without any cooperation from cloud service providers. In Chapter 6, De Capitani di Vimercati, Foresti, and Samarati describe emerging approaches for protecting data stored externally and for enforcing fine-grained and selective accesses on them, and illustrate how the combination of these approaches can introduce new privacy risks. In Chapter 7, Le, Kant, and Jajodia explore data access challenges in collaborative enterprise computing environments where multiple parties formulate their own authorization rules, and discuss the problems of rule consistency, enforcement, and dynamic updates. In Chapter 8, Smith et al. address key challenges to the practical realization of a system that supports query execution over remote encrypted data without exposing decryption keys or plaintext at the server. In Chapter 9, Sun et al. provide an overview of secure search techniques over encrypted data, and then elaborate on a scheme that can achieve privacy-preserving multi-keyword text search. The next three chapters focus on the secure deployment of computations to the cloud. In Chapter 10, Oktay el al. present a risk-based approach for workload partitioning in hybrid clouds that selectively outsources data and computation based on their level of sensitivity. The chapter also describes a vulnerability assessment framework for cloud computing environments. In Chapter 11, Albanese et al. present a solution for deploying a mission in the cloud while minimizing the mission’s exposure to known vulnerabilities, and a cost-effective approach to harden the computational resources selected to support the mission. In Chapter 12, Kontaxis et al. describe a system that generates computational decoys to introduce uncertainty and deceive adversaries as to which data and computation is legitimate. The last section of the book addresses issues related to security monitoring and system resilience. In Chapter 13, Zhou presents a secure, provenance-based capability that captures dependencies between system states, tracks state changes over time, and that answers attribution questions about the existence, or change, of a system’s state at a given time. In Chapter 14, Wu et al. present a monitoring capability for multicore architectures that runs monitoring threads concurrently with user or kernel code to constantly check for security violations. Finally, in Chapter 15, Hasan Cam describes how to manage the risk and resilience of cyber-physical systems by employing controllability and observability techniques for linear and non-linear systems.

Advances in Big Data and Cloud Computing

Advances in Big Data and Cloud Computing
A Book

by Elijah Blessing Rajsingh,Jey Veerasamy,Amir H. Alavi,J. Dinesh Peter

  • Publisher : Springer
  • Release : 2018-04-06
  • Pages : 413
  • ISBN : 9811072000
  • Language : En, Es, Fr & De
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This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Primarily focusing on the application of knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies, it provides novel ideas that further world-class research and development. This concise compilation of articles approved by a panel of expert reviewers is an invaluable resource for researchers in the area of advanced engineering sciences.

Assured Cloud Computing

Assured Cloud Computing
A Book

by Roy H. Campbell,Charles A. Kamhoua,Kevin A. Kwiat

  • Publisher : John Wiley & Sons
  • Release : 2018-10-02
  • Pages : 368
  • ISBN : 1119428637
  • Language : En, Es, Fr & De
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Explores key challenges and solutions to assured cloud computing today and provides a provocative look at the face of cloud computing tomorrow This book offers readers a comprehensive suite of solutions for resolving many of the key challenges to achieving high levels of assurance in cloud computing. The distillation of critical research findings generated by the Assured Cloud Computing Center of Excellence (ACC-UCoE) of the University of Illinois, Urbana-Champaign, it provides unique insights into the current and future shape of robust, dependable, and secure cloud-based computing and data cyberinfrastructures. A survivable and distributed cloud-computing-based infrastructure can enable the configuration of any dynamic systems-of-systems that contain both trusted and partially trusted resources and services sourced from multiple organizations. To assure mission-critical computations and workflows that rely on such systems-of-systems it is necessary to ensure that a given configuration does not violate any security or reliability requirements. Furthermore, it is necessary to model the trustworthiness of a workflow or computation fulfillment to a high level of assurance. In presenting the substance of the work done by the ACC-UCoE, this book provides a vision for assured cloud computing illustrating how individual research contributions relate to each other and to the big picture of assured cloud computing. In addition, the book: Explores dominant themes in cloud-based systems, including design correctness, support for big data and analytics, monitoring and detection, network considerations, and performance Synthesizes heavily cited earlier work on topics such as DARE, trust mechanisms, and elastic graphs, as well as newer research findings on topics, including R-Storm, and RAMP transactions Addresses assured cloud computing concerns such as game theory, stream processing, storage, algorithms, workflow, scheduling, access control, formal analysis of safety, and streaming Bringing together the freshest thinking and applications in one of today’s most important topics, Assured Cloud Computing is a must-read for researchers and professionals in the fields of computer science and engineering, especially those working within industrial, military, and governmental contexts. It is also a valuable reference for advanced students of computer science.

Security, Privacy, and Anonymity in Computation, Communication, and Storage

Security, Privacy, and Anonymity in Computation, Communication, and Storage
SpaCCS 2019 International Workshops, Atlanta, GA, USA, July 14–17, 2019, Proceedings

by Guojun Wang,Jun Feng,Md Zakirul Alam Bhuiyan,Rongxing Lu

  • Publisher : Springer
  • Release : 2019-09-05
  • Pages : 332
  • ISBN : 303024900X
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of six symposiums and two workshops co-located with SpaCCS 2019, the 12th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage. The 26 full papers were carefully reviewed and selected from 75 submissions. This year's symposiums and workshops are: SPIoT 2019 – Security and Privacy of Internet of Things; TSP 2019 – Trust, Security and Privacy for Emerging Applications; SCS 2019 – Sensor-Cloud Systems; UbiSafe 2019 – UbiSafe Computing; ISSR 2019 – Security in e-Science and e-Research; CMRM 2019 – Cybersecurity Metrics and Risk Modeling.

Security Engineering for Cloud Computing: Approaches and Tools

Security Engineering for Cloud Computing: Approaches and Tools
Approaches and Tools

by Rosado, David G.

  • Publisher : IGI Global
  • Release : 2012-09-30
  • Pages : 257
  • ISBN : 1466621265
  • Language : En, Es, Fr & De
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"This book provides a theoretical and academic description of Cloud security issues, methods, tools and trends for developing secure software for Cloud services and applications"--Provided by publisher.

European Research Activities in Cloud Computing

European Research Activities in Cloud Computing
A Book

by Dana Petcu,José Luis Vázquez-Poletti

  • Publisher : Cambridge Scholars Publishing
  • Release : 2011-11-15
  • Pages : 350
  • ISBN : 1443835501
  • Language : En, Es, Fr & De
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What’s new in the European research and development area? Cloud computing is a provision model where whatever computing resource that can be thought of (machines, network, software solutions, applications) is provided as a service. This new paradigm has changed the center of gravity of computing in both the academic and industry environments, but despite the considerable efforts and investments, there are critical problems that are not yet solved. The research and development community involved in distributed computing is searching for viable solutions that will increase the adoption of the cloud. This is the case of the collaborative work done by multi-national teams in the context of the FP7 programme of the European Commission. Students, researchers and developers working in the field of distributed computing will find in this book a snapshot of the on-going activities in research and development of cloud computing undertaken at the European level. These activities are organized by the latest hot topics of cloud computing research, which include services, management, automation and adoption. Summarizing, this book will help the reader understand and identify the research and development winds that are pushing the clouds to Europe.

Managing and Processing Big Data in Cloud Computing

Managing and Processing Big Data in Cloud Computing
A Book

by Kannan, Rajkumar

  • Publisher : IGI Global
  • Release : 2016-01-07
  • Pages : 307
  • ISBN : 1466697687
  • Language : En, Es, Fr & De
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Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.

Cloud Computing

Cloud Computing
First International Conference, CloudCom 2009, Beijing, China, December 1-4, 2009, Proceedings

by Martin Gilje Jaatun,Gansen Zhao,Chunming Rong

  • Publisher : Springer Science & Business Media
  • Release : 2009-11-24
  • Pages : 707
  • ISBN : 3642106641
  • Language : En, Es, Fr & De
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This volume contains the proceedings of CloudCom 2009, the First Inter- tional Conference on Cloud Computing. The conference was held in Beijing, China, during December 1–4, 2009, and was the ?rst in a series initiated by the Cloud Computing Association (www.cloudcom.org). The Cloud Computing Association was founded in 2009 by Chunming Rong, Martin Gilje Jaatun, and Frode Eika Sandnes. This ?rst conference was organized by the Beijing Ji- tong University, Chinese Institute of Electronics, and Wuhan University, and co-organized by Huazhong University of Science and Technology, South China Normal University, and Sun Yat-sen University. Ever since the inception of the Internet, a “Cloud” has been used as a metaphor for a network-accessible infrastructure (e.g., data storage, computing hardware, or entire networks) which is hidden from users. To some, the concept of cloud computing may seem like a throwback to the days of big mainframe computers, but we believe that cloud computing makes data truly mobile, - lowing a user to access services anywhere, anytime, with any Internet browser. In cloud computing, IT-related capabilities are provided as services, accessible without requiring control of, or even knowledge of, the underlying technology. Cloud computing provides dynamic scalability of services and computing power, and although many mature technologies are used as components in cloud c- puting, there are still many unresolved and open problems.

Security, Privacy, and Anonymity in Computation, Communication, and Storage

Security, Privacy, and Anonymity in Computation, Communication, and Storage
SpaCCS 2020 International Workshops, Nanjing, China, December 18–20, 2020, Proceedings

by Guojun Wang

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030688844
  • Language : En, Es, Fr & De
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Data Security in Cloud Storage Services

Data Security in Cloud Storage Services
A Book

by Mai Mansour Dahshan,American University in Cairo. Deptartment of Computer Science and Engineering

  • Publisher : Unknown Publisher
  • Release : 2014
  • Pages : 432
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Abstract: Cloud Computing is considered to be the next-generation architecture for ICT where it moves the application software and databases to the centralized large data centers. It aims to offer elastic IT services where clients can benefit from significant cost savings of the pay-per-use model and can easily scale up or down, and do not have to make large investments in new hardware. However, the management of the data and services in this cloud model is under the control of the provider. Consequently, the cloud clients have less control over their outsourced data and they have to trust cloud service provider to protect their data and infrastructure from both external and internal attacks. This is especially true with cloud storage services. Nowadays, users rely on cloud storage as it offers cheap and unlimited data storage that is available for use by multiple devices (e.g. smart phones, tablets, notebooks, etc.). Besides famous cloud storage providers, such as Amazon, Google, and Microsoft, more and more third-party cloud storage service providers are emerging. These services are dedicated to offering more accessible and user friendly storage services to cloud customers. Examples of these services include Dropbox, Box.net, Sparkleshare, UbuntuOne or JungleDisk. These cloud storage services deliver a very simple interface on top of the cloud storage provided by storage service providers. File and folder synchronization between different machines, sharing files and folders with other users, file versioning as well as automated backups are the key functionalities of these emerging cloud storage services. Cloud storage services have changed the way users manage and interact with data outsourced to public providers. With these services, multiple subscribers can collaboratively work and share data without concerns about their data consistency, availability and reliability. Although these cloud storage services offer attractive features, many customers have not adopted these services. Since data stored in these services is under the control of service providers resulting in confidentiality and security concerns and risks. Therefore, using cloud storage services for storing valuable data depends mainly on whether the service provider can offer sufficient security and assurance to meet client requirements. From the way most cloud storage services are constructed, we can notice that these storage services do not provide users with sufficient levels of security leading to an inherent risk on users' data from external and internal attacks. These attacks take the form of: data exposure (lack of data confidentiality); data tampering (lack of data integrity); and denial of data (lack of data availability) by third parties on the cloud or by the cloud provider himself. Therefore, the cloud storage services should ensure the data confidentiality in the following state: data in motion (while transmitting over networks), data at rest (when stored at provider's disks). To address the above concerns, confidentiality and access controllability of outsourced data with strong cryptographic guarantee should be maintained. To ensure data confidentiality in public cloud storage services, data should be encrypted data before it is outsourced to these services. Although, users can rely on client side cloud storage services or software encryption tools for encrypting user's data; however, many of these services fail to achieve data confidentiality. Box, for example, does not encrypt user files via SSL and within Box servers. Client side cloud storage services can intentionally/unintentionally disclose user decryption keys to its provider. In addition, some cloud storage services support convergent encryption for encrypting users' data exposing it to confirmation of a file attack. On the other hand, software encryption tools use full-disk encryption (FDE) which is not feasible for cloud-based file sharing services, because it encrypts the data as virtual hard disks. Although encryption can ensure data confidentiality; however, it fails to achieve fine-grained access control over outsourced data. Since, public cloud storage services are managed by un-trusted cloud service provider, secure and efficient fine-grained access control cannot be realized through these services as these policies are managed by storage services that have full control over the sharing process. Therefore, there is not any guarantee that they will provide good means for efficient and secure sharing and they can also deduce confidential information about the outsourced data and users' personal information. In this work, we would like to improve the currently employed security measures for securing data in cloud store services. To achieve better data confidentiality for data stored in the cloud without relying on cloud service providers (CSPs) or putting any burden on users, in this thesis, we designed a secure cloud storage system framework that simultaneously achieves data confidentiality, fine-grained access control on encrypted data and scalable user revocation. This framework is built on a third part trusted (TTP) service that can be employed either locally on users' machine or premises, or remotely on top of cloud storage services. This service shall encrypts users data before uploading it to the cloud and decrypts it after downloading from the cloud; therefore, it remove the burden of storing, managing and maintaining encryption/decryption keys from data owner's. In addition, this service only retains user's secret key(s) not data. Moreover, to ensure high security for these keys, it stores them on hardware device. Furthermore, this service combines multi-authority ciphertext policy attribute-based encryption (CP-ABE) and attribute-based Signature (ABS) for achieving many-read-many-write fine-grained data access control on storage services. Moreover, it efficiently revokes users' privileges without relying on the data owner for re-encrypting massive amounts of data and re-distributing the new keys to the authorized users. It removes the heavy computation of re-encryption from users and delegates this task to the cloud service provider (CSP) proxy servers. These proxy servers achieve flexible and efficient re-encryption without revealing underlying data to the cloud. In our designed architecture, we addressed the problem of ensuring data confidentiality against cloud and against accesses beyond authorized rights. To resolve these issues, we designed a trusted third party (TTP) service that is in charge of storing data in an encrypted format in the cloud. To improve the efficiency of the designed architecture, the service allows the users to choose

IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks

IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks
A Book

by Rao, Ram Shringar,Jain, Vishal,Kaiwartya, Omprakash,Singh, Nanhay

  • Publisher : IGI Global
  • Release : 2020-03-20
  • Pages : 339
  • ISBN : 1799825728
  • Language : En, Es, Fr & De
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The optimization of traffic management operations has become a considerable challenge in today’s global scope due to the significant increase in the number of vehicles, traffic congestions, and automobile accidents. Fortunately, there has been substantial progress in the application of intelligent computing devices to transportation processes. Vehicular ad-hoc networks (VANETs) are a specific practice that merges the connectivity of wireless technologies with smart vehicles. Despite its relevance, empirical research is lacking on the developments being made in VANETs and how certain intelligent technologies are being applied within transportation systems. IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks provides emerging research exploring the theoretical and practical aspects of intelligent transportation systems and analyzing the modern techniques that are being applied to smart vehicles through cloud technology. Featuring coverage on a broad range of topics such as health monitoring, node localization, and fault tolerance, this book is ideally designed for network designers, developers, analysists, IT specialists, computing professionals, researchers, academics, and post-graduate students seeking current research on emerging computing concepts and developments in vehicular ad-hoc networks.

Enabling Real-Time Mobile Cloud Computing through Emerging Technologies

Enabling Real-Time Mobile Cloud Computing through Emerging Technologies
A Book

by Soyata, Tolga

  • Publisher : IGI Global
  • Release : 2015-07-25
  • Pages : 400
  • ISBN : 1466686634
  • Language : En, Es, Fr & De
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Today's smartphones utilize a rapidly developing range of sophisticated applications, pushing the limits of mobile processing power. The increased demand for cell phone applications has necessitated the rise of mobile cloud computing, a technological research arena which combines cloud computing, mobile computing, and wireless networks to maximize the computational and data storage capabilities of mobile devices. Enabling Real-Time Mobile Cloud Computing through Emerging Technologies is an authoritative and accessible resource that incorporates surveys, tutorials, and the latest scholarly research on cellular technologies to explore the latest developments in mobile and wireless computing technologies. With its exhaustive coverage of emerging techniques, protocols, and computational structures, this reference work is an ideal tool for students, instructors, and researchers in the field of telecommunications. This reference work features astute articles on a wide range of current research topics including, but not limited to, architectural communication components (cloudlets), infrastructural components, secure mobile cloud computing, medical cloud computing, network latency, and emerging open source structures that optimize and accelerate smartphones.

Cloud Computing

Cloud Computing
A Book

by Remya Chandran

  • Publisher : Independently Published
  • Release : 2019-04-25
  • Pages : 282
  • ISBN : 9781095804810
  • Language : En, Es, Fr & De
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Cloud Computing can be defined as delivering computing power( CPU, RAM, Network Speeds, Storage OS software) a service over a network (usually on the internet) rather than physically having the computing resources at the customer location.The term "Cloud" came from a network design that was used by network engineers to represent the location of various network devices and there inter-connection. The shape of this network design was like a cloud.With increase in computer and Mobile user's, data storage has become a priority in all fields. Large and small scale businesses today thrive on their data & they spent a huge amount of money to maintain this data. It requires a strong IT support and a storage hub. Not all businesses can afford high cost of in-house IT infrastructure and back up support services. For them Cloud Computing is a cheaper solution. Perhaps its efficiency in storing data, computation and less maintenance cost has succeeded to attract even bigger businesses as well.Cloud computing decreases the hardware and software demand from the user's side. The only thing that user must be able to run is the cloud computing systems interface software, which can be as simple as Web browser, and the Cloud network takes care of the rest. We all have experienced cloud computing at some instant of time, some of the popular cloud services we have used or we are still using are mail services like gmail, hotmail or yahoo etc.The potential for cost saving is the major reason of cloud services adoption by many organizations. Cloud computing gives the freedom to use services as per the requirement and pay only for what you use. Due to cloud computing it has become possible to run IT operations as a outsourced unit without much in-house resources.

Resource Management and Efficiency in Cloud Computing Environments

Resource Management and Efficiency in Cloud Computing Environments
A Book

by Turuk, Ashok Kumar,Sahoo, Bibhudatta,Addya, Sourav Kanti

  • Publisher : IGI Global
  • Release : 2016-11-08
  • Pages : 352
  • ISBN : 1522517227
  • Language : En, Es, Fr & De
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Today’s advancements in technology have brought about a new era of speed and simplicity for consumers and businesses. Due to these new benefits, the possibilities of universal connectivity, storage and computation are made tangible, thus leading the way to new Internet-of Things solutions. Resource Management and Efficiency in Cloud Computing Environments is an authoritative reference source for the latest scholarly research on the emerging trends of cloud computing and reveals the benefits cloud paths provide to consumers. Featuring coverage across a range of relevant perspectives and topics, such as big data, cloud security, and utility computing, this publication is an essential source for researchers, students and professionals seeking current research on the organization and productivity of cloud computing environments.

Cloud Computing for Science and Engineering

Cloud Computing for Science and Engineering
A Book

by Ian Foster,Dennis B. Gannon

  • Publisher : MIT Press
  • Release : 2017-09-22
  • Pages : 392
  • ISBN : 0262037246
  • Language : En, Es, Fr & De
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The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book offer a guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The book surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program these services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security. The book is accompanied by a website, Cloud4SciEng.org, that provides a variety of supplementary material, including exercises, lecture slides, and other resources helpful to readers and instructors.

Cloud Architecture. What are the possibilities of cloud computing?

Cloud Architecture. What are the possibilities of cloud computing?
A Book

by Anonim

  • Publisher : GRIN Verlag
  • Release : 2019-06-19
  • Pages : 27
  • ISBN : 3668961824
  • Language : En, Es, Fr & De
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Seminar paper from the year 2019 in the subject Computer Science - Miscellaneous, grade: 1.3, University of Applied Sciences Dortmund, language: English, abstract: This paper is going to explore the possibilities of cloud computing, which effects different cloud architectures have and in which scenarios they are relevant. First, the basics of cloud computing are explained, how it basically works, and what the standard cloud models are. Afterwards different scenarios for cloud computing and their technological architectures are shown. To display how different cloud architectures can be build, the solutions of OpenStack and OpenNebula for creating a cloud infrastructure are introduced and compared to each other. To frame the paper, the topic will be shortly summarized in the end. The cloud and cloud computing are topics everyone is currently talking about. It is often used as a buzzword in marketing to improve the sales just because it sounds modern. Nevertheless, the cloud is a very important topic in the IT environment nowadays. There are probably still a lot of companies that do not use cloud tools at all or just a small portion of the benefits, simply because they do not know what is possible and what is not possible.