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Cloud Computing: a Detailed Relationship to Grid and Cluster Computing
International Journal of Future Computer and Communication, Vol. 4, No. 2, April 2015 Cloud Computing: A Detailed Relationship to Grid and Cluster Computing Ikechukwu Nwobodo premises and distributed computing perception, by providing Abstract—Cloud computing continues to maintain a rapid to users pool of computing resources in utility consumption growth while constituting a viable alternative to conventional forms accessible via internet on demand. The process of computing. Cloud computing is an emerging business cloud resource distribution and allocation makes it easier for computing model that enable users access to IT resources via enterprises to access and use cloud computing resources such internet infrastructure at any PC connected node across the globe without hardware constraints. Cloud computing concept as network, storage, and application servers without is a development trend based on several successful researches in requirement for huge upfront investment on infrastructure computing areas such as virtualization, grid computing, cluster provided, thereby strengthening or allowing concentration on computing and distributed computing. Cloud, cluster and grid other business critical development. Cloud computing computing share some common features towards achieving resources are dynamically accessed or requested on demand utility or service oriented computing although marginal without prior reservation and in essence helps to eliminate differences exist on their processes and approaches in many ways. This paper will be exploring the evolutionary issues of resource over-provisioning resulting to improved relationships in terms of features and component of cloud utilization of resources [2], [3]. computing technological innovation in comparison to cluster and grid computing. II. THREE MODELS OF COMPUTING Index Terms—Cloud computing, grid computing, cluster computing, utility computing. -
Malla Reddy College of Engineering and Technology
MALLA REDDY COLLEGE OF ENGINEERING AND TECHNOLOGY Compiled By, Faculty of Cloud Computing Department of CSE CLOUD COMPUTING Objectives 1. To understand the various distributed system models and evolving computing paradigms 2. To gain knowledge in virtualization of computer resources 3. To realize the reasons for migrating into cloud 4. To introduce the various levels of services that can be achieved by a cloud. 5. To describe the security aspects in cloud and the services offered by a cloud. UNIT- I Cloud Computing Fundamentals: Definition of Cloud computing, Roots of Cloud Computing , Layers and Types of Clouds, Desired Features of a Cloud, Cloud Infrastructure Management, Infrastructure as a Service Providers, Platform as a Service Providers. Computing Paradigms: High-Performance Computing, Parallel Computing, Distributed Computing, Cluster Computing, Grid Computing. UNIT- II Migrating into a Cloud: Introduction, Broad Approaches to Migrating into the Cloud, the Seven-Step Model of Migration into a Cloud, Enriching the ‘Integration as a Service’ Paradigm for the Cloud Era, the Onset of Knowledge Era the Evolution of SaaS, Evolution of Saas. UNIT- III Infrastructure as a Service (IAAS) & Platform (PAAS): Virtual machines provisioning and Migration services, Virtual Machines Provisioning and Manageability, Virtual Machine Migration Services, VM Provisioning and Migration in Action. On the Management of Virtual machines for Cloud Infrastructures- Aneka—Integration of Private and Public Clouds. UNIT- IV Software as a Service (SAAS) &Data Security in the Cloud: Software as a Service SAAS), Google App Engine – Centralizing Email Communications- Collaborating via Web- Based Communication Tools-An Introduction to the idea of Data Security. UNIT- V SLA Management in cloud computing: Traditional Approaches to SLO Management, Types of SLA, Life Cycle of SLA, SLA Management in Cloud. -
Grid and Cloud Computing Subject Code
MOTHER TERESA WOMEN’S UNIVERSITY DIRECTORATE OF DISTANCE EDUCATION KODAIKANAL – 624 102 M.Sc. COMPUTER SCIENCE (P.G.) MATERIAL FOR GRID AND CLOUD COMPUTING SUBJECT CODE Compiled by Dr. K.Kavitha GRID AND CLOUD COMPUTING UNIT I : Concepts and Architectures: Introduction - Parallel and Distributed Computing- Cluster computing – Grid Computing-anatomy and physiology of Grid – Review of web services – OGSA – WSRF. UNIT II : GRID Monitoring : Grid Monitoring Architecture (GMA) – An overview of Grid Monitoring systems – Grid ICE – JAMM – MDs – Network Weather Service – R – GMA – other Monitoring systems Ganglia and Grid Mon UNIT III: Grid Security and Resource Management: Grid Security – A Brief security primer – PRI – X509 Certificates – Grid security – Grid Scheduling and Resource management –Scheduling paradigms – Working principles of scheduling – A review of condor, SGE, PBS and LSF – Grid scheduling with QoS UNIT IV: Examining the Value Proposition : Defining Cloud Computing, Assessing the Value Proposition, Understanding Cloud Architecture, Understanding Services and Applications by Type. UNIT V : Using Platforms : Understanding Abstraction and Virtualization, Capacity, Planning, Exploring Platform as a Service, Using Google Web Services, Using Amazon Web Services, Using Microsoft Cloud Services. TEXT BOOKS 1.The Grid : Core Technologies – Maozhen Li, Mark Baker, - John Wiley & Sum 2005 2. Cloud Computing Bible – Barrie Sosinky – Wiley Publishing Inc, 2011 REFERENCE BOOKS 1. Grid Computing – Josy Joseph & Craig Fellenstein – Pearson Education, 2004 2. The Little Book of Cloud Computing – A New Street Executive Summary 3. Lars Nielson – 2011 Edition UNIT I CONCEPTS AND ARCHITECTURE Introduction Grid computing is a group of computers physically connected (over a network or with Internet) to perform a dedicated tasks together, such as analyzing e-commerce data and solve a complex problem. -
The Journey from Computer Time-Sharing to Cloud Computing: a Literature Review Dr
Rao Nemani IJCSET | July 2011 | Vol 1, Issue 6,267-273 The Journey from Computer Time-Sharing to Cloud Computing: A Literature Review Dr. Rao Nemani Adjunct Instructor The College of St. Scholastica Duluth, Minnesota, USA Abstract— Cloud computing has attracted the attention of many correspondingly called public clouds. On the other hand, computing professionals in both the commercial and the private clouds which exist inside a business are created educational sectors. Constant pressure to deliver on-demand specifically for private organizations. An example of this the computing services in a 24/7 environment amidst increasing cloud created by Google for exclusive use by the government financial pressure has placed cloud computing out of the realm called gov. cloud. The next emerging services in the cloud of just hype and into the business plan of major organizations. As computing gets more sophisticated, it also gets more retro are Infrastructure as a Service (IaaS) and Platform as a because we see more of the computing functions being pushed to Service (PaaS) [3, p. 2]. An example of a IaaS is Amazon centralized, shared web servers, whether it's called hosted Web Services, which includes storage, computing, message applications or application services or web computing or web queues, datasets, and content distribution. An example of caches, it looks more like the time-sharing and centralized PaaS is Microsoft's Azure which uses Microsoft's .Net computing of the 1970s. The aim of this paper is to conduct a framework and SQL data services. comprehensive review of literature covering the topics of time- What the wheel and the press did for the American road sharing and the cloud computing. -
Cluster Computing Vs Cloud Computing a Comparison
Sci.Int.(Lahore),28(6),5267-5271,2016 ISSN 1013-5316;CODEN: SINTE 8 5267 CLUSTER COMPUTING VS CLOUD COMPUTING A COMPARISON AND AN OVERVIEW 1Makhdoom Muhammad Naeem, 2Hidayatullah Mahar, 1Furqan Memon, 1Muhammad Siddique, 1Abid Chohan 1 Electrical Engineering Department NFC IET, Multan 2 Chemical Engineering Department NFC IET, Multan *[email protected] ABSTRACT: In the field of Information technology cloud computing appears as one of the demanding, result oriented and latest topics. Here it is stated that cloud computing is based on several areas of computer science research, such as virtualization, HPC, grid computing and utility computing. One method of computer is called cloud computing, which shares the majority of the Internetwork computer resources instead of via software or storage on local computers. To distribute their work in many rooms and then run these separate parts simultaneously in a computer group is a method to create an application run more rapidly. Cluster computing is the move toward that has been applied with applications of technical and scientific standpoint. In this article, we have done everything possible to judge against and distinguish with cluster and cloud computing from multiple points of view and to facilitate understanding of the important features of both. Keywords: Computing models, deployment models, HPC cluster, cluster computing, cloud computing, comparison, Google trends. INTRODUCTION and a set or a large number of existing computing resources Grid computing and cloud computing are relatively two fresh created the attached device level service [4]. Cloud thoughts inside the computing field. Cloud computing is computing is more ideas of object-oriented programming clearly defined here; "A large-scale model of distributed abstraction. -
Distributed Computing: Utilities, Grids & Clouds
International Telecommunication Union Distributed Computing: Utilities, Grids & Clouds ITU-T Technology Watch Report 9 2009 Terms such as ‘Cloud Computing’ have gained a lot of attention, as they are used to describe emerging paradigms for the management of information and computing resources. This report describes the advent of new forms of distributed computing, notably grid and cloud computing, the applications that they enable, and their potential impact on future standardization. Telecommunication Standardization Policy Division ITU Telecommunication Standardization Sector ITU-T Technology Watch Reports ITU-T Technology Watch Reports are intended to provide an up-to-date assessment of promising new technologies in a language that is accessible to non-specialists, with a view to: Identifying candidate technologies for standardization work within ITU. Assessing their implications for ITU Membership, especially developing countries. Other reports in the series include: #1 Intelligent Transport System and CALM #2 Telepresence: High-Performance Video-Conferencing #3 ICTs and Climate Change #4 Ubiquitous Sensor Networks #5 Remote Collaboration Tools #6 Technical Aspects of Lawful Interception #7 NGNs and Energy Efficiency #8 Intelligent Transport Systems Acknowledgements This report was prepared by Martin Adolph. It has benefited from contributions and comments from Ewan Sutherland and Arthur Levin. The opinions expressed in this report are those of the authors and do not necessarily reflect the views of the International Telecommunication Union or its membership. This report, along with previous Technology Watch Reports, can be found at www.itu.int/ITU-T/techwatch. Your comments on this report are welcome, please send them to [email protected] or join the Technology Watch Correspondence Group, which provides a platform to share views, ideas and requirements on new/emerging technologies. -
Cloud Computing and Grid Computing 360-Degree Compared
Cloud Computing and Grid Computing 360-Degree Compared 1,2,3Ian Foster, 4Yong Zhao, 1Ioan Raicu, 5Shiyong Lu [email protected], [email protected], [email protected], [email protected] 1 Department of Computer Science, University of Chicago, Chicago, IL, USA 2Computation Institute, University of Chicago, Chicago, IL, USA 3Math & Computer Science Division, Argonne National Laboratory, Argonne, IL, USA 4Microsoft Corporation, Redmond, WA, USA 5 Department of Computer Science, Wayne State University, Detroit, MI, USA Abstract– Cloud Computing has become another buzzword after Web we find that those clusters are quite expensive to operate. We 2.0. However, there are dozens of different definitions for Cloud have low-cost virtualization. And, above all, we have multiple Computing and there seems to be no consensus on what a Cloud is. billions of dollars being spent by the likes of Amazon, Google, On the other hand, Cloud Computing is not a completely new concept; and Microsoft to create real commercial large-scale systems it has intricate connection to the relatively new but thirteen-year established Grid Computing paradigm, and other relevant containing hundreds of thousands of computers. The prospect technologies such as utility computing, cluster computing, and of needing only a credit card to get on-demand access to distributed systems in general. This paper strives to compare and 100,000+ computers in tens of data centers distributed contrast Cloud Computing with Grid Computing from various angles throughout the world—resources that be applied to problems and give insights into the essential characteristics of both. with massive, potentially distributed data, is exciting! So we are operating at a different scale, and operating at these new, 1 100-Mile Overview more massive scales can demand fundamentally different approaches to tackling problems. -
Distributed, Utility, Cluster, Grid and Cloud Computing
Journal of Network Communications and Emerging Technologies (JNCET) www.jncet.org Volume 6, Issue 5, May (2016) Survey of Computing Technologies: Distributed, Utility, Cluster, Grid and Cloud Computing Deepika Sood CSE Department, CGC-College of Engineering, Landran, Punjab, India. Harneet Kour CSE Department, Chandigarh Engineering College, Landran, Punjab, India. Sumit Kumar CSE Department, Chandigarh Engineering College, Landran, Punjab, India. Abstract –In the last few years there has been a rapid 5) Cloud computing exponential increase in computer processing power, communication and data storage. But still there are many 2. DISTRIBUTED COMPUTING complex and computation intensive problems, which cannot be It is a type of computing in which different parts of a program solved by supercomputers. These problems can only be met with a vast variety of heterogeneous resources. In the field of run simultaneously on two or more computers that are computing, a lot of changes have been observed due to the communicating with each other over a network. It also refers increased use and popularity of the Internet and the availability to the processing in which different parts of a program run of high-speed networks. This paper describes various types of concurrently on two or more processors that are part of the computing technologies like distributed computing, cluster same computer. Both types of processing require that a computing, utility computing, grid computing and cloud program be segmented—divided into segments that can run computing. All these technologies have actually contributed in concurrently. Over the decades, distributed computing has the development of computing. been an essential component of scientific computing. -
The Distributed Computing Paradigms: P2P, Grid, Cluster, Cloud, and Jungle
International Journal of Latest Research in Science and Technology ISSN (Online):2278-5299 Vol.1,Issue 2 :Page No.183-187 ,July-August(2012) http://www.mnkjournals.com/ijlrst.htm The Distributed Computing Paradigms: P2P, Grid, Cluster, Cloud, and Jungle Brijender Kahanwal* Tejinder Pal Singh Assistant Professor, CSE Department, Galaxy Global Group Assistant Professor, Applied Sciences Department, RPIIT, of Institutions, Dinarpur, Ambala, Haryana Bastara, Karnal, Haryana ([email protected]) ([email protected]) INDIA INDIA Abstract: The distributed computing is done on many systems to solve a large scale problem. The growing of high-speed broadband networks in developed and developing countries, the continual increase in computing power, and the rapid growth of the Internet have changed the way. In it the society manages information and information services. Historically, the state of computing has gone through a series of platform and environmental changes. Distributed computing holds great assurance for using computer systems effectively. As a result, supercomputer sites and datacenters have changed from providing high performance floating point computing capabilities to concurrently servicing huge number of requests from billions of users. The distributed computing system uses multiple computers to solve large-scale problems over the Internet. It becomes data-intensive and network-centric. The applications of distributed computing have become increasingly wide-spread. In distributed computing, the main stress is on the large scale resource sharing and always goes for the best performance. In this article, we have reviewed the work done in the area of distributed computing paradigms. The main stress is on the evolving area of cloud computing. Keywords – Distributed Computing Paradigms, cloud, cluster, grid, jungle, P2P. -
Cloud Computing: Utility Computing Over the Internet
Cloud computing: utility computing over the Internet Taneli Korri Helsinki University of Technology [email protected] Abstract with a sudden boost of visitors. And in the opposite situation, during slow business days, much of the infrastructure will be Cloud computing has become a hot topic in the IT industry, unutilized [7]. To solve this never ending race for hardware as it allows people to buy computing resources in the same investments, many are now looking at cloud computing. way as utility services like water and power. Cloud com- Cloud computing doesn’t have any precise definition [12], puting services are delivered over the Internet which makes but when people talk about it they’re talking about com- them a viable alternative to building a own computing in- putation and storage service which can scale up and down frastructure. This paper examines what cloud computing is as needed. And all this can be accessed over the Internet and what kind of advantages it brings. In addition, this paper with the help of a credit card. Thus cloud computing can looks at the disadvantages and compares cloud computing to be broadly defined as hardware infrastructure as a service. it’s near relative, grid computing. Although this definition still generalizes a lot, as cloud com- puting can also be seen as platform and as a software service KEYWORDS: utility computing, cloud computing, grid [10, 11]. As people pay for utility services like water and computing electricity, there shouldn’t be any reason why they couldn’t also be paying for computational power or storage which is 1 Introduction available over the Internet [17].