Overview of Cloud Storage Allan Liu, Ting Yu
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Building a Cloud-Enabled File Storage Infrastructure
F5 White Paper Building a Cloud-Enabled File Storage Infrastructure A cloud-enabled infrastructure can help your organization seamlessly integrate cloud storage and maximize cost savings, while also offering significant benefits to your traditional file storage environments. by Renny Shen Product Marketing Manager White Paper Building a Cloud-Enabled File Storage Infrastructure Contents Introduction 3 What Makes a Cloud? 3 Types of Cloud Storage 4 What Makes Cloud Storage Different? 4 Accessing Files Remotely over the Network 5 Accessing Files on Object-Based Storage 5 Unique Cost Structure 6 Where Clouds Make Sense 7 Fitting the Cloud into a Tiered Storage Framework 7 Expanding the Parameters for Tiering with the Cloud 8 Defining Cloud-Enabled 9 Integrating Different Types of Storage 10 Non-Disruptive File Migration 11 Automated Storage Tiering 11 Benefits of a Cloud-Enabled Infrastructure 12 Reduced Storage Costs 12 Reduced Backup Times and Costs 13 Reduced Operational Costs 13 The F5 Cloud Storage Model 13 Creating a Private Cloud 15 Conclusion 18 2 White Paper Building a Cloud-Enabled File Storage Infrastructure Introduction Cloud storage offers enterprise organizations the opportunity to bring constantly rising file storage costs and management burden under control. By moving appropriate types of files to the cloud, organizations can reduce not only the amount of storage capacity that they need to purchase, but also the operational overhead involved in managing it. In addition, the cloud enables storage capacity to be increased on demand, while charging organizations only for the amount of storage that is actually utilized. Cloud storage will bring many changes to the way enterprises manage storage. -
Cloud Computing and Internet of Things: Issues and Developments
Proceedings of the World Congress on Engineering 2018 Vol I WCE 2018, July 4-6, 2018, London, U.K. Cloud Computing and Internet of Things: Issues and Developments Isaac Odun-Ayo, Member, IAENG, Chinonso Okereke, and Hope Orovwode Abstract—Cloud computing is a pervasive paradigm that is allows access to recent technologies and it enables growing by the day. Various service types are gaining increased enterprises to focus on core activities, instead programming importance. Internet of things is a technology that is and infrastructure. The services provided include Software- developing. It allows connectivity of both smart and dumb as-a-Service (SaaS), Platform-as–a–Service (PaaS) and systems over the internet. Cloud computing will continue to be Infrastructure–as–a–Services (IaaS). SaaS provides software relevant to IoT because of scalable services available on the cloud. Cloud computing is the need for users to procure servers, applications over the Internet and it is also known as web storage, and applications. These services can be paid for and service [2]. utilized using the various cloud service providers. Clearly, IoT Cloud users can access such applications anytime, which is expected to connect everything to everyone, requires anywhere either on their personal computers or on mobile not only connectivity but large storage that can be made systems. In PaaS, the cloud service provider makes it available either through on-premise or off-premise cloud possible for users to deploy applications using application facility. On the other hand, events in the cloud and IoT are programming interfaces (APIs), web portals or gateways dynamic. -
Hybrid Cloud Storage with Cloudian Hyperstore® and Amazon S3
SOLUTION BRIEF Hybrid Cloud Storage with Cloudian HyperStore® and Amazon S3 NEW DATA STORAGE CHALLENGES With the popularity of rich media, the nt,%and%the%proli.eraon%o.%mobile%de8ices2%there%has%bee digiN5aon%o.%conte n% e:ponenNal%growth%in%the%amount o.%unstructured%data that IT%is%tasked%with%managing?and%the%rate%o.%this%growth%is% only%accelerang.%TradiNonal%networked%storage%approaches2%such%as%SAC%and%CAS2%.ail%to%meet the%per.ormance%and% throughput demands% o.% this% new% generaon% o.% IT% as% they% lack% the% scalability2% De:ibility% and% agility% which% modern% business%reEuires.%In%.act,%whole%legacy%storage%systems%are%breaking%down.%Fackups%and%restores%take%longer.%Migraon% to%new%storage%systems%is%labor%intensi8e.%And%the%list goes%on%and%on.%As%a result,%many%enterprise%organi5aons%are% mo8ing%to%hybrid%IT%en8ironments2%combining%the%De:ibility%and%scale%o.%the%cloud%with%the%security%and%control%o.%their% on-‐premises%IT%capabiliNes.%In%this%respect,%Iloudian%and%Amazon%are%changing%the%game.%% HYBRID CLOUD SOLUTION BENEFITS Iloudian% HyperStore% soKware% pro8ides% cost-‐eLecN8e% SbOect storage% has% changed% the% li8es% o.% enterprise% pri8ate% cloud% storage% which% deploys% on% commodity% customers2% sa8ing% them% Nme% and% money% while% hardware%housed%within%enterprise%IT%data centers%and% increasing% per.ormance% and% peace% o.% mind.% Tey% seamlessly% integrates% with% the% oL-‐premises% Amazon% benePts%o.%using%Iloudian%and%Amazon%to%build%hybrid% cloud% in.rastructure.% IT% managers% can% dynamically% cloud9%"nclude: control%bi-‐direcNonal%data Nering%to%and%.rom%Amazon% • Impro8ed% security% and% per.ormance% by% using% on-‐ S3% and% Nlacier% at the% bucket le8el2% 8ia bucket li.ecycle% premises%cloud%storage%.or%criNcal%business%content rules.%Fucket rules%can%also%be%set up%to%automacally% and% the% most cost eLecN8e% and% highly% reliable% oL-‐ e:pire%obOects%aer%a predetermined%amount o.%Nme%or% premises%cloud%storage%.or%long%term%data archi8al.% specific date. -
Security Services Using ECDSA in Cloud Computing
Volume 4, Issue 5, May 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Security Services using ECDSA in Cloud Computing S.Sathish* D.Sumathi P.Sivaprakash Computer Science and Engineering Computer Science and Engineering Computer Science and Engineering Jaisriram Group of Institutions, India PPG Institute of Technology, India PPG Institute of Technology, India Abstract— Cloud computing security is the set of control-based technologies and policies designed to comply to the rules and regulations framed by the provider team to support and protect information, data applications and infrastructure associated with cloud computing use. Cloud computing security process should address the issues faced by the cloud users. Cloud Service Provider needs to incorporate the maintenance activity in order to provide the customer's data security, privacy and compliance with necessary regulations. The Elliptic Curve Digital Signature Algorithm (ECDSA) is a public key cryptosystem used for creation and verification of digital signatures in securing data uploaded by the cloud users. Information security concerns have been focused so that identifying unwanted modification of data, deletion of data is identified. Keywords— Cloud Computing,ECDSA,Crptography,RSA, I. INTRODUCTION Cloud computing is internet-based computing, where by shared resources, software and information are provided to computers and other devises on demand. It is a culmination of numerous attempts at large scale computing with seamless access to virtually limitless resources. Cloud Computing providers offer their services according to three fundamental models, namely Infrastructure-as-a- Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) which is illustrated in figure 1. -
Rclone VFS and Mergerfs Setup
Rclone VFS and MergerFS Setup This guide is for advanced users only and it serves as a guide for you to use rclone and mergerFS. The files here are the recommended settings for our slots and will subject to change whenever there are new configurations that are appropriate for the slots. Furthermore, USB is not responsible for any data loss or application errors due to this setup should you proceed and will not provide official support for it due to the large volume of variables and different configurations possible with rclone and mergerFS. You may visit the community discord server or the software's respective forums for assistance. Please make yourself aware of the Ultra.cc Fair Usage Policy. It is very important not to mount your Cloud storage to any of the premade folders, this creates massive instability for both you and everyone else on your server. Always follow the documentation and create a new folder for mounting. It is your responsibility to ensure usage is within acceptable limits. Ignorance is not an excuse. Please do not mount to any of the default directories such as: files media bin .apps .config www /homexx/username/ or any pre-created directory found on your Ultra.cc Slot This section will teach you how to set up a rclone VFS mount and MergerFS on Ultra.cc slots, and it assumes the following: You have a working rclone setup, especially correctly configured remotes of your preferred cloud storage provider. In this tutorial, we'll be using Google Drive. If you use another cloud storage provider, change the flags that are appropriate to your setup and visit rclone documentation for more information. -
Enhancing Bittorrent-Like Peer-To-Peer Content Distribution with Cloud Computing
ENHANCING BITTORRENT-LIKE PEER-TO-PEER CONTENT DISTRIBUTION WITH CLOUD COMPUTING A THESIS SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY Zhiyuan Peng IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE Haiyang Wang November 2018 © Zhiyuan Peng 2018 Abstract BitTorrent is the most popular P2P file sharing and distribution application. However, the classic BitTorrent protocol favors peers with large upload bandwidth. Certain peers may experience poor download performance due to the disparity between users’ upload/download bandwidth. The major objective of this study is to improve the download performance of BitTorrent users who have limited upload bandwidth. To achieve this goal, a modified peer selection algorithm and a cloud assisted P2P network system is proposed in this study. In this system, we dynamically create additional peers on cloud that are dedicated to boost the download speed of the requested user. i Contents Abstract ............................................................................................................................................. i List of Figures ................................................................................................................................ iv 1 Introduction .............................................................................................................................. 1 2 Background ............................................................................................................................. -
Tensorflow and Serverless Machine Learning with Google Cloud Platform
TensorFlow and Serverless Machine Learning with Google Cloud Platform Date: Out of 133 million new jobs to be created by 2022, the top ones will be in the areas of machine learning, artificial intelligence, and data science. Employees in these roles can command an annual salary of over $125,000. This full-day workshop will Friday, April 26, 2019 advance your existing skills in programming, SQL, and Linux and get you started on a portfolio project you can use in discussions with employers about job opportunities in Time : these high demand careers. 8:30 AM—5:30 PM Presented by Location: Carl Osipov, Co-Founder & CTO, Counter Factual .AI Volusia County Business Incubator Powered by UCF Workshop Objectives: Learn how to: 601 Innovation Way Identify business use cases for machine learning Daytona Beach, FL Build a machine learning model using TensorFlow, Python, and SQL 32114 Scale and deploy machine learning models using Google Cloud MLE RSVP: Productionize trained machine learning models as web services [email protected] Materials you will need in advance: The workshop will be conducted on Price: Google Cloud Platform (GCP) and will use GCP's infrastructure to run Ten- Incubator Clients: and sorFlow. All you will need is a reasonably powerful laptop running an up-to- Graduates Free date browser (preferably Chrome). Make sure that the laptop is well charged sponsored by Career in advance! Source Please call Kathy at: (386) 561-9750 Skills Prerequisites: You must have beginner level experience with pro- All Others: gramming using Python and SQL. You should also be comfortable with com- $295 mon Linux/UNIX shell commands. -
Cluster, Grid and Cloud Computing: a Detailed Comparison
The 6th International Conference on Computer Science & Education (ICCSE 2011) August 3-5, 2011. SuperStar Virgo, Singapore ThC 3.33 Cluster, Grid and Cloud Computing: A Detailed Comparison Naidila Sadashiv S. M Dilip Kumar Dept. of Computer Science and Engineering Dept. of Computer Science and Engineering Acharya Institute of Technology University Visvesvaraya College of Engineering (UVCE) Bangalore, India Bangalore, India [email protected] [email protected] Abstract—Cloud computing is rapidly growing as an alterna- with out any prior reservation and hence eliminates over- tive to conventional computing. However, it is based on models provisioning and improves resource utilization. like cluster computing, distributed computing, utility computing To the best of our knowledge, in the literature, only a few and grid computing in general. This paper presents an end-to- end comparison between Cluster Computing, Grid Computing comparisons have been appeared in the field of computing. and Cloud Computing, along with the challenges they face. This In this paper we bring out a complete comparison of the could help in better understanding these models and to know three computing models. Rest of the paper is organized as how they differ from its related concepts, all in one go. It also follows. The cluster computing, grid computing and cloud discusses the ongoing projects and different applications that use computing models are briefly explained in Section II. Issues these computing models as a platform for execution. An insight into some of the tools which can be used in the three computing and challenges related to these computing models are listed models to design and develop applications is given. -
Security of Cloud Computing in the Iot Era
future internet Article Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era Michele De Donno 1 , Alberto Giaretta 2, Nicola Dragoni 1,2 and Antonio Bucchiarone 3,∗ and Manuel Mazzara 4,∗ 1 DTU Compute, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; [email protected] (M.D.D.); [email protected] (N.D.) 2 Centre for Applied Autonomous Sensor Systems Orebro University, 701 82 Orebro, Sweden; [email protected] 3 Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy 4 Institute of Software Development and Engineering, Innopolis University, Universitetskaya St, 1, 420500 Innopolis, Russian Federation * Correspondence: [email protected] (A.B.); [email protected] (M.M.) Received: 28 January 2019; Accepted: 30 May 2019; Published: 4 June 2019 Abstract: The Internet of Things (IoT) is rapidly changing our society to a world where every “thing” is connected to the Internet, making computing pervasive like never before. This tsunami of connectivity and data collection relies more and more on the Cloud, where data analytics and intelligence actually reside. Cloud computing has indeed revolutionized the way computational resources and services can be used and accessed, implementing the concept of utility computing whose advantages are undeniable for every business. However, despite the benefits in terms of flexibility, economic savings, and support of new services, its widespread adoption is hindered by the security issues arising with its usage. From a security perspective, the technological revolution introduced by IoT and Cloud computing can represent a disaster, as each object might become inherently remotely hackable and, as a consequence, controllable by malicious actors. -
5 Steps to Prepare Your Network for Cloud Computing
VIAVI Solutions White Paper 5 Steps to Prepare Your Network for Cloud Computing To the novice IT manager, a shift to cloud computing may appear to offer great relief. No longer will their team have to worry as much about large infrastructure deployments, complex server configurations, and troubleshooting complex delivery on internally-hosted applications. But, diving a little deeper reveals that cloud computing also delivers a host of new challenges. Through cloud computing, organizations perform tasks While providing increased IT flexibility and potentially or use applications that harness massive third-party lowering costs, cloud computing shifts IT management computing and processing power via the Internet priorities from the network core to the WAN/Internet cloud. This allows them to quickly scale services and connection. Cloud computing extends the organization’s applications to meet changing user demand and avoid network via the Internet, tying into other networks to purchasing network assets for infrequent, intensive access services, applications and data. Understanding computing tasks. this shift, IT teams must adequately prepare the network, and adjust management styles to realize the promise of cloud computing. Shift in Management Focus With internal hosting, management LAN Switch focuses on the connection between Server Farm Client the LAN and Server Farm. Embracing cloud computing shifts the focus toward the WAN connection. WAN/Internet Internal Hosting Cloud Computing Cloud Provider Cloud computing shifts IT management significantly impact the decisions you make from whether your monitoring tools adequately track priorities from the network core WAN performance to the personnel and resources to the WAN/Internet connection. you devote to managing WAN-related issues. -
Cloud Computing Over Cluster, Grid Computing: a Comparative Analysis
Journal of Grid and Distributed Computing Volume 1, Issue 1, 2011, pp-01-04 Available online at: http://www.bioinfo.in/contents.php?id=92 Cloud Computing Over Cluster, Grid Computing: a Comparative Analysis 1Indu Gandotra, 2Pawanesh Abrol, 3 Pooja Gupta, 3Rohit Uppal and 3Sandeep Singh 1Department of MCA, MIET, Jammu 2Department of Computer Science & IT, Jammu Univ, Jammu 3Department of MCA, MIET, Jammu e-mail: [email protected], [email protected], [email protected], [email protected], [email protected] Abstract—There are dozens of definitions for cloud Virtualization is a technology that enables sharing of computing and through each definition we can get the cloud resources. Cloud computing platform can become different idea about what a cloud computing exacting is? more flexible, extensible and reusable by adopting the Cloud computing is not a very new concept because it is concept of service oriented architecture [5].We will not connected to grid computing paradigm whose concept came need to unwrap the shrink wrapped software and install. into existence thirteen years ago. Cloud computing is not only related to Grid Computing but also to Utility computing The cloud is really very easier, just to install single as well as Cluster computing. Cloud computing is a software in the centralized facility and cover all the computing platform for sharing resources that include requirements of the company’s users [1]. software’s, business process, infrastructures and applications. Cloud computing also relies on the technology II. CLUSTER COMPUTING of virtualization. In this paper, we will discuss about Grid computing, Cluster computing and Cloud computing i.e. -
GPU Based Cloud Computing
GPU based cloud computing Dairsie Latimer, Petapath, UK Petapath © NVIDIA Corporation 2010 About Petapath Petapath ! " Founded in 2008 to focus on delivering innovative hardware and software solutions into the high performance computing (HPC) markets ! " Partnered with HP and SGI to deliverer two Petascale prototype systems as part of the PRACE WP8 programme ! " The system is a testbed for new ideas in usability, scalability and efficiency of large computer installations ! " Active in exploiting emerging standards for acceleration technologies and are members of Khronos group and sit on the OpenCL working committee ! " We also provide consulting expertise for companies wishing to explore the advantages offered by heterogeneous systems © NVIDIA Corporation 2010 What is Heterogeneous or GPU Computing? x86 PCIe bus GPU Computing with CPU + GPU Heterogeneous Computing © NVIDIA Corporation 2010 Low Latency or High Throughput? CPU GPU ! " Optimised for low-latency ! " Optimised for data-parallel, access to cached data sets throughput computation ! " Control logic for out-of-order ! " Architecture tolerant of and speculative execution memory latency ! " More transistors dedicated to computation © NVIDIA Corporation 2010 NVIDIA GPU Computing Ecosystem ISV CUDA CUDA TPP / OEM Training Development Company Specialist Hardware GPU Architecture Architect VAR CUDA SDK & Tools Customer Application Customer NVIDIA Hardware Requirements Solutions Hardware Architecture © NVIDIA Corporation 2010 Deployment Science is Desperate for Throughput Gigaflops 1,000,000,000