DOCSLIB.ORG

Sky Computing: Extension to the Cloud Computing

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Sky Computing: Extension to the Cloud Computing Imperial Journal of Interdisciplinary Research (IJIR) Vol-3, Issue-4, 2017 ISSN: 2454-1362, http://www.onlinejournal.in Sky Computing: Extension to the Cloud Computing 1 2 3 Mayuri S. Geed , Pallavi R. Gabhane & Prof. P. A. Manjare 1,2Student, Computer Science and Engineering , H.V.P.M COET , Amravati, India 3Assistant Professor , Computer Science and Engineering , H.V.P.M COET , Amravati, India Abstract: Sometimes, a single cloud isn’t enough. the U.S. National Institute of Standards and Sometimes, you need the whole sky. That’s why a Technology (NIST): Cloud computing is a model for number of researchers are developing tools to enabling convenient, on-demand network access to a federate clouds, an architectural concept dubbed shared pool of configurable computing resources “sky computing” .The Sky Computing model allows (e.g., networks, servers, storage, applications, and the creation of large scale infrastructure using services) that can be rapidly provisioned resources from multiple cloud providers. These and released with minimal management effort or infrastructures are able to run embarrassingly service provider interaction. parallel computation with high performance. Developing a way to join several cloud infrastructures together into one massive cloud would be especially useful to academic researchers who utilize open large-scale compute resources, like the Open Science Grid or the European Grid Infrastructure, together with open source cloud computing platforms such as Nimbus, in order to create their own private clouds with rather than say Amazon’s EC2. In this paper we talked about sky computing and various mechanics that might lead to sky computing over multiple clouds. Introduction Sky Computing is an advance deployment model and future of cloud computing where multiple clouds are integrated to serve the business processes at one place. Sky Computing is an emerging computing model where resources from multiple cloud providers are leveraged to create large scale distributed virtual clusters. These clusters provide resources to execute scientific computations requiring large computational power. Establishing a sky computing system is challenging due to differences among providers in terms of hardware, resource management, connectivity and architecture. Figure 1. Cloud Computing 1.1 Cloud Computing 1.2 Sky Computing Cloud computing is the delivery of computing Sky Computing is an emerging computing model services over the Internet. Cloud services allow where resources from multiple clouds providers are individuals and businesses to use software and leveraged to create large scale distributed hardware that are managed by third parties at remote infrastructures. locations. Examples of cloud services include online Sky Computing arises as a metaphor to illustrate file storage, social networking sites, webmail, and a layer above Cloud computing, because such online business applications. The cloud computing dynamically provisioned distributed domains are model allows access to information and computer built over several Clouds. It can be described as a resources from anywhere that a network connection management up layer of an environment of Clouds, is available. Cloud computing provides a shared pool offering variable computing capacity and storage of resources, including data storage space, networks, resources with dynamic support to real time computer processing power, and specialized demands. Laying a virtual site over distributed corporate and user applications. The following resources, combining the ability to trust remote sites definition of cloud computing has been developed by with a trusted networking environment , originates a Imperial Journal of Interdisciplinary Research (IJIR) Page 1662 Imperial Journal of Interdisciplinary Research (IJIR) Vol-3, Issue-4, 2017 ISSN: 2454-1362, http://www.onlinejournal.in highly elastic response to incoming requests with a operations are limited (providers’ operation set is seemingly infinite pool of accessible resources. larger) and can correspond to loss of performance. The Sky Computing management layer relies on the lower layer resources and interface, so it should be extremely stable and dependable. There are some projects undergoing for middleware, like the open- source libcloud , Deltacloud , jclouds , or fog, while others, like abiquous, Kaavo or Enstratius offer a more professional customized service and support, in exchange for a monthly fee. 2.2 Customizable Scheduler A scheduler is a running daemon that coordinates the virtual requests and the available resources using different scheduling policies. It basically assigns to each Virtual Machine (VM) a physical host and a storage area depending on resource availability, obeying to pre-defined policies. Neither Delta cloud nor Aeolus have a scheduler, they make the deployment and rely on the destination -source projects Cloud’s management. Some open Figure 2. Sky Computing available are Haizea and Cloud Scheduler. Figure 2. shows Experiment on the sky in which user-level networks needed for inter cloud communication and ViNe enables applications across clouds. 2. Sky Computing Architecture The main idea is to create a turn-around model to enable intensive computing in Cloud networks. This is hoped to be achieved by enlarging the set of available resources in a way they overcome the problems referred before, like elevated latency between nodes. Also, it must be cross Cloud provider in order to combine resources. To achieve this, there must be a structure capable of receiving instructions, process and return results from all different underlying cloud systems. The architecture is represented in Figure 3 As we can see in Figure 3, each Cloud provider has a specific API that makes available an interaction with their own resources. All these can be aggregated by a middleware layer, which allows controlling and managing resources by translating every command to the correspondent provider API. Abstraction, from bottom to top, is the key for building a consistent system. The upper layer, Sky Computing, integrates the last level of Infrastructure as a Service and the next layer of Software as a Service. This is a critical layer, as it must be as comprehensive as possible in features and capabilities. Here, our main focus is HPC, but is must be possible to deal with other applications too. Management, with scheduling, Figure 3. Sky Computing architecture accounting and billing, should be well developed as 2.3 Monitoring software well as Monitoring and Job submission. Monitoring is also a very important part of 2.1 Cloud Computing Middleware Cloud management. Probing the resources allows to Middleware is a very important and useful part in register and control resource usage for a healthy the chain value. It provides an abstraction that allows running. For instance, detecting problems (out of to develop applications without being tied to an memory, power off, overheat CPU, etc.) prematurely explicit Cloud vendor. The drawback is that API for an early resolution. Nagios is a monitoring Imperial Journal of Interdisciplinary Research (IJIR) Page 1663 Imperial Journal of Interdisciplinary Research (IJIR) Vol-3, Issue-4, 2017 ISSN: 2454-1362, http://www.onlinejournal.in system that enables organizations to identify and With SaaS, it’s easy for enterprises to streamline resolve IT infrastructure problems before they affect their maintenance and support, because everything critical business processes. It delivers awareness of can be managed by vendors: applications, runtime, IT infrastructure’s status and allows to detect and data, middleware, OSes, virtualization, servers, repair problems and mitigate future issues before storage and networking. Popular SaaS offering types they affect users. include email and collaboration, customer 2.4 Accounting and billing relationship management, and healthcare-related When providing users with a complex applications. SaaS Examples infrastructure like Sky Computing, it is crucial that : Google Apps, Salesforce, Workday, Concur, Citrix Go To Meeting, Cisco Web the right usage is being kept for accounting and ExCommon billing. Assuring a righteous accounting can make 3.4. PaaS: Platform as a Service monthly usage use prediction, history analysis and Cloud platform services, or Platform as a Service the right planning for future use. The saved data also (PaaS), are used for applications, and other allows to bill the registered users for the used development, while providing cloud components to resources, both private and public combined. software. What developers gain with PaaS is a 2.5 System assembling framework they can build upon to develop or The hardest part is to connect all pieces of the customize applications. PaaS makes the puzzle, thus it was successful. We managed to get development, testing, and deployment of applications Aeolus working with a hybrid infrastructure, quick, simple, and cost-effective. With this featuring Amazon and OpenNebula with a custom technology, enterprise operations, or a third-party scheduler Haizea and Ganglia. The structure was provider, can manage OSes, servers, storage, functional and stable, however the lack of some networking, and the PaaS software itself. important pieces reduced the structure flexibility and Applications using PaaS inherit cloud characteristic agility, despite the occasional improvement by a new such as scalability, high-availability, multi-tenancy, tweaks on fresh software updates. SaaS enablement, and more. For the needs of enterprises
Load more

Recommended publications
  • Dell Openstack Cloud Solution
    Dell OpenStack Cloud Solution Peter Jung Senior Solutions Architect & Business Developer Fast. Easy. Now. Dell.com/OpenStack Dell.com/Crowbar Cloud expectations and promises Support the mobile & social marketplace Innovate and grow and workforce Anytime, anywhere, on any device access and Speed time to market when introducing new engagement. (BYOD) increases productivity and goods and services job satisfaction Apps Revenue Data “The Business” BI Cost Speed Efficiency Attract & retain new customers Reduce IT cost, deliver operational results On-demand, self-service and automated access Connect customer data, gain intelligence on lowers costs and decreases demands on IT customers to better target, nurture and solidify leads Cloud - Challenges for SP and Enterprise Service provider challenges Enterprise challenges • Cost-effectively scaling, and competing in the • Lack of infrastructure standardization and emerging public cloud ecosystem automation leading to poor resource utilization, cost escalation, slow application delivery • Ability to quickly launch new cloud services • Locked-in to proprietary vendors and • Keeping license costs down on traditional technologies – increasing license costs with virtualization solutions – costs increase linearly growth and scale with scale (often per node) • Poor understanding of cost allocations • Keeping maintenance costs down on home- grown components that have been built • Long resource provisioning cycle times haphazardly over time • Inflexible and non-adaptive infrastructure • Flexibility to rapidly add/change features in response to customer needs –commercial • Building a cloud is too complex and takes too solutions lack features they need long • Lack of availability and support of the entire end-to-end solution Cloud Taxonomy – Complex? Cloud service PaaS/SaaS management PaaS/SaaS services sit on top of this stack along with other any specific vertical solutions such as VDI, HPC, CDN etc.
    [Show full text]
  • D1.5 Final Business Models
    ITEA 2 Project 10014 EASI-CLOUDS - Extended Architecture and Service Infrastructure for Cloud-Aware Software Deliverable D1.5 – Final Business Models for EASI-CLOUDS Task 1.3: Business model(s) for the EASI-CLOUDS eco-system Editor: Atos, Gearshift Security public Version 1.0 Melanie Jekal, Alexander Krebs, Markku Authors Nurmela, Juhana Peltonen, Florian Röhr, Jan-Frédéric Plogmeier, Jörn Altmann, (alphabetically) Maurice Gagnaire, Mario Lopez-Ramos Pages 95 Deliverable 1.5 – Final Business Models for EASI-CLOUDS v1.0 Abstract The purpose of the business working group within the EASI-CLOUDS project is to investigate the commercial potential of the EASI-CLOUDS platform, and the brokerage and federation- based business models that it would help to enable. Our described approach is both ‘top down’ and ‘bottom up’; we begin by summarizing existing studies on the cloud market, and review how the EASI-CLOUDS project partners are positioned on the cloud value chain. We review emerging trends, concepts, business models and value drivers in the cloud market, and present results from a survey targeted at top cloud bloggers and cloud professionals. We then review how the EASI-CLOUDS infrastructure components create value both directly and by facilitating brokerage and federation. We then examine how cloud market opportunities can be grasped through different business models. Specifically, we examine value creation and value capture in different generic business models that may benefit from the EASI-CLOUDS infrastructure. We conclude by providing recommendations on how the different EASI-CLOUDS demonstrators may be commercialized through different business models. © EASI-CLOUDS Consortium. 2 Deliverable 1.5 – Final Business Models for EASI-CLOUDS v1.0 Table of contents Table of contents ...........................................................................................................................
    [Show full text]
  • ITEA 2 Project 10014 EASI-CLOUDS
    ITEA 2 Project 10014 EASI-CLOUDS - Extended Architecture and Service Infrastructure for Cloud-Aware Software Deliverable D1.5 –Final Business Models for the EASI-CLOUDS Use Cases Task 1.3: Business model(s) for the EASI-CLOUDS eco-system Editors: Atos, Gearshift Group Security public Version 1.0 Main authors Markku Nurmela, Juhana Peltonen, and Florian Röhr (alphabetically) Contributors Jörn Altmann, Maurice Gagnaire, Melanie Jekal, Alexander Krebs, Jan-Frédéric (alphabetically) Plogmeier Pages 99 Deliverable 1.5 – Business Impact v1.0 Abstract The purpose of the business impact work group (WGH) and task 1.5 is to investigate the commercial potential of the EASI-CLOUDS infrastructure, and the federation-based business models that it would help to enable. Our approach described is both ‘top down’ and ‘bottom up’; we begin by summarizing existing studies on the cloud market, and review how the EASI- CLOUDS project partners are positioned on the cloud value chain. We review emerging trends, concepts, business models and value drivers in the cloud market, and present results from a survey targeted at top cloud bloggers and cloud professionals. We then review how the EASI- CLOUDS infrastructure components create value both directly and by facilitating brokerage and federation. We then examine how cloud market opportunities can be grasped through different business models. Specifically, we examine value creation and value capture in different generic business models that may benefit from the EASI-CLOUDS infrastructure. We conclude by providing recommendations on how the different EASI-CLOUDS demonstrators may be commercialized through different business models. © EASI-CLOUDS Consortium. 2 Deliverable 1.5 – Business Impact v1.0 Table of contents Table of contents ...........................................................................................................................
    [Show full text]
  • Emc Student Guide Cloud Infrastructure and Services.Pdf
    Emc Student Guide Cloud Infrastructure And Services If you are looking for the book Emc student guide cloud infrastructure and services in pdf format, then you've come to the loyal website. We furnish the complete variation of this book in PDF, DjVu, ePub, txt, doc forms. You can reading online Emc student guide cloud infrastructure and services either downloading. In addition to this book, on our website you can reading the manuals and other art books online, or load them as well. We will draw attention what our website does not store the book itself, but we give reference to the site wherever you may download either reading online. If want to downloading pdf Emc student guide cloud infrastructure and services, then you've come to the correct website. We own Emc student guide cloud infrastructure and services ePub, DjVu, txt, PDF, doc forms. We will be glad if you come back to us more. Cloud computing curriculum - upload, share, and Jul 31, 2012 For University Adoption Cloud Infrastructure and Services Cloud Infrastructure and Services Student Guide - EMC Education ServicesAdditional Reference Amazon.com: emc education services: books Cloud Infrastructure and Services: by EMC Education Services,Emc Education Services (COR) What's New in VMWare vShere 4 091809 Student Guide and Lab Guide Set Amazon.ca: emc education services: books by EMC Education Services Staff. What's New in VMWare vShere 4 091809 Student Guide and Lab Guide Set 2009. Amazon Web Services Scalable Cloud Computing Services: Emc cloud infrastructure and services - teaching EMC Cloud Infrastructure and Services. copy of the EMC CIS spiral bound student guide that contains take the Cloud Infrastructure and Services Netapp data management and cloud storage solutions NetApp delivers software, Virtual Desktop Infrastructure (VDI) Cloud Storage Hardware.
    [Show full text]
  • Experiences in Building a Mosaic of Clouds
    CORE Metadata, citation and similar papers at core.ac.uk Provided by Springer - Publisher Connector Petcu et al. Journal of Cloud Computing: Advances, Systems and Applications 2013, 2:12 http://www.journalofcloudcomputing.com/content/2/1/12 RESEARCH Open Access Experiences in building a mOSAIC of clouds Dana Petcu1*, Beniamino Di Martino2, Salvatore Venticinque2, Massimiliano Rak2, Tamás Máhr3, Gorka Esnal Lopez4,FabriceBrito5, Roberto Cossu6, Miha Stopar7, Svatopluk Šperka8 and Vlado Stankovski9 Abstract The diversity of Cloud computing services is challenging the application developers as various and non-standard interfaces are provided for these services. Few middleware solutions were developed until now to support the design, deployment and execution of service-independent applications as well as the management of resources from multiple Clouds. This paper focuses on one of these advanced middleware solutions, called mOSAIC. Written after the completion of its development, this paper presents an integrated overview of the mOSAIC approach and the use of its various software prototypes in a Cloud application development process. We are starting from the design concepts and arrive to various applications, as well as to the position versus similar initiatives. Introduction 2. Design a generic agent skeleton for representing The story of mOSAIC (Open-source API and Platform various stakeholders, e.g. Cloud vendors and their for Multiple Clouds) starts in Spring 2009 when its idea resources, Cloud users of various types, and a emerged. The main challenges for Cloud Computing iden- collection of modules that can be used to adapt agent tified to that moment, as shown in [1,2], were application skeleton to support needed functionalities.
    [Show full text]
  • Cloud Platform Solutions Buyers Guide
    2015 Cloud Platform Solutions Buyers Guide Includes a Category Overview; the Top 10 Questions to Ask; Plus a Reference Directory of the Leading 28 Providers for Enterprise Cloud Platforms-as-a-Service Solutions INTRODUCTION: The teenage years of this millennium will be known as the era when the enterprise finally grew up, technologically. And like a growing teenager, businesses today are both fascinated and frightened by the dramatic changes happening to all of their bits (and bytes). The enterprise is in the midst of a rapid and unnerving growth in mobility and data. The old, insular model for developing “in house” solutions is giving way to a more open and experimental distributed approach. For the past decade “cloud computing” has been gaining traction with businesses primarily through the Software-as-a-Service (SaaS) application model. From the widespread adoption of mission critical systems like Customer Relationship Management (CRM), systems delivered through a cloud-based application, the enterprise and many of its younger technical employees have become comfortable with cloud services. Now the opportunity is present for an even larger leap to the cloud. In addition to SaaS, three other cloud models have emerged for consideration: Infrastructure-as-a-Service (IaaS) – which provides access to hardware, network and physical resources; Backend-as-a-Service (BaaS) – which focuses mostly on mobile application back ends; and Platform-as-a-Service (PaaS) – which provides a more comprehensive stack of solutions including databases, operating systems, development tools and middleware. Let’s get it out of the way, Cloud Platform is an oxymoron – literally and figuratively.
    [Show full text]
  • Dell Presentation Template Wide Screen 16:9 Layout
    OpenStack in the Enterprise Customers Prove It Interactive Panel Thursday, November 7, 2013 9:50AM HKT 1 Today’s format • Panel Introductions • Cloud Trends and Challenges • Panel Discussion 1. Getting Started … 2. Making Choices: In-house, Hosted, Public, Private, Hybrid 3. Management and Operations • Panel Summary • Questions 2 Dell Team Joseph B George George Reese Keith Tobin Kamesh Peter Jung Pemmaraju MODERATOR: PANELIST: PANELIST: PANELIST: PANELIST: Senior Director, Executive Senior Cloud Senior Solutions Enterprise Director, Architect Consultant, Architect, Open Cloud and Big Development Technical Source Cloud Data Solutions Engineering, Marketing, and Big Data, Dell Enstratius OpenStack ESG 3 Cloud Trends and Challenges “Cloud services in Asia Pacific are growing rapidly, particularly Infrastructure-as-a-Service (IaaS) offerings, including server, storage, and infrastructure management solutions. According to IDC1, IaaS in Asia Pacific (excluding Japan) is expected to be a $6.2 billion market in 2013, growing to a $13.5 billion market in 2016, over 21% compound annual growth rate (CAGR).” 1 http://www.idc.com/getdoc.jsp?containerId=IDC_P20174#.UORpQInjkbQ 4 Starting points and Use Cases 5 We are NOW in a multi-cloud world 6 Clouds don’t manage themselves 7 Panel Summary Joseph B George George Reese Keith Tobin Kamesh Peter Jung MODERATOR: PANELIST: PANELIST: Pemmaraju PANELIST: PANELIST: Senior Director, Executive Senior Cloud Solutions Senior Enterprise Director, Architect Architect, Open Cloud and Big Development Consultant, Source Cloud Data Solutions Engineering, Technical and Big Data, Dell Enstratius Marketing, ESG OpenStack CONTACT: CONTACT: CONTACT: CONTACT: CONTACT: Joseph_B_George George_Reese@ Keith_Tobin@Dell. Kamesh_Pemmaraju Peter_Jung@Dell. @Dell.com Dell.com com @Dell.com com 8 Dell and OpenStack are ready and able.
    [Show full text]
  • Cloud Management
    Cloud Management A PEEK INTO WHAT REAL USERS THINK 2015 IT Central Station helps tech professionals by providing... A comprehensive list of A sample of real user Specific information to help enterprise level Cloud reviews from tech you choose the best vendor Management vendors. professionals. for your needs. Disclaimer IT Central Station Ltd. does not endorse or recommend any products or services. The views and opinions of reviewers quoted in this document, IT Central Station websites, and IT Central Station materials (i.e. Content) do not reflect the opinions of IT Central Station. We make no guarantees about the accuracy, currency, suitability, or quality of the content, and we assume no responsibility for unintended, objectionable, inaccurate, misleading, or unlawful content made available by Content authors or other third parties. © 2015 IT Central Station Reproduction Prohibited To read more reviews about Cloud Management, please visit: http://www.itcentralstation.com/category/cloud-management ABOUT IT CENTRAL STATION User reviews, candid discussions, and more for enterprise technology professionals. The Internet has completely changed the way we make buying decisions. We now use ratings and review sites to see what other real users think before we buy Use IT Central Station to: electronics, book a hotel, visit a doctor or choose a restaurant. But in the world of enterprise technology, • Read and post reviews of vendors most of the information online and in your inbox comes and products from vendors but what you really want is objective • Request or share information about information from other users. functionality, quality, and pricing • Contact real users with relevant We created IT Central Station to provide product experience technology professionals like you with a • Get immediate answers to questions community platform to share information about • Validate vendor claims enterprise software, applications, hardware and • Exchange tips for getting the best services.
    [Show full text]
  • Fluidcloud: an Open Framework for Relocation of Cloud Services
    FluidCloud: An Open Framework for Relocation of Cloud Services Andy Edmonds Thijs Metsch Zurcher¨ Hochschule fur¨ Angewandte Wissenschaften Intel Ireland Limited Dana Petcu Erik Elmroth Jamie Marshall Institute e-Austria Timisoara Umea˚ University Prologue Plamen Ganchosov CloudSigma Abstract and automated. From this work a number of research and engineering challenges arise including data optimisation, Cloud computing delivers new levels of being connected, runtime architecture adaptation, and goal-oriented ser- instead of the once disconnected PC-type systems. The vice instance relocation. proposal in this paper extends that level of connectedness in the cloud such that cloud service instances, hosted by providers, can relocate between clouds. This is key in 2 A Problem in the Cloud? order to provide economical and regulatory benefits but more importantly liberation and positive market disrup- Cloud service instances remain locked under the control tion. of the service provider. FluidCloud will liberate these in- While service providers want to lock in their cus- stances. Having the ability for a cloud service instance to tomer’s services, FluidCloud wants the liberation of easily and seamlessly move from one provider to another those and thereby allow the service owner to freely will bring advantages and freedom to any cloud service choose the best matching provider at any time. In the owner. Essentially, it will bring service instance “move- cloud world of competing cloud standards and software ment rights” to the cloud. However there is no encom- solutions, each only partially complete, the central re- passing means to accomplish this. search question which this paper intends to answer: How FluidCloud fits within the soon future cloud.
    [Show full text]
  • Simplifying Cloud Instance Selection Using Machine Learning
    Daleel: Simplifying Cloud Instance Selection Using Machine Learning Faiza Samreen, Yehia Elkhatib, Matthew Rowe, and Gordon S. Blair School of Computing and Communications, Lancaster University, United Kingdom Email: [email protected] Abstract—Decision making in cloud environments is quite DigitalOcean challenging due to the diversity in service offerings and pricing HP Cloud Compute models, especially considering that the cloud market is an Instance_Type General Purpose incredibly fast moving one. In addition, there are no hard Memory Intensive Google Compute Engine CPU Intensive and fast rules; each customer has a specific set of constraints I/O Optimised Other Types (e.g. budget) and application requirements (e.g. minimum Microsoft Azure computational resources). Machine learning can help address some of these complicated decisions by carrying out customer- IaaS Provider RackSpace specific analytics to determine the most suitable instance Joyent Compute type(s) and the most opportune time for starting and/or migrating instances. In this paper, we employ machine learning Amazon EC2 techniques to develop an adaptive deployment policy tailored 0 10 20 30 for each customer, providing an optimal match between their Number of Instance Types demands and the available cloud service offerings. We provide an experimental study based on extensive set of job executions Figure 1. The number of instance types offered by the major IaaS vendors, th over a major public cloud infrastructure. as of 25 of August 2015. 1. Introduction In this paper we present Daleel, a multi-criteria adaptive decision making framework that is developed to find the The Infrastructure-as-a-Service (IaaS) ecosystem is optimal IaaS deployment strategy.
    [Show full text]
  • An Adaptable Framework to Deploy Complex Applications Onto Multi
    An Adaptable Framework to Deploy Complex Applications onto Multi-cloud Platforms Linh Manh Pham, Alain Tchana, Didier Donsez, Vincent Zurczak, Pierre-Yves Gibello, Noel de Palma To cite this version: Linh Manh Pham, Alain Tchana, Didier Donsez, Vincent Zurczak, Pierre-Yves Gibello, et al.. An Adaptable Framework to Deploy Complex Applications onto Multi-cloud Platforms. Computing & Communication Technologies - Research, Innovation, and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on, Jan 2015, Can Tho, Vietnam. 10.1109/RIVF.2015.7049894. hal- 01232615 HAL Id: hal-01232615 https://hal.archives-ouvertes.fr/hal-01232615 Submitted on 23 Nov 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. An Adaptable Framework to Deploy Complex Applications onto Multi-cloud Platforms Linh Manh Pham1, Alain Tchana2, Didier Donsez1, Vincent Zurczak3, Pierre-Yves Gibello3, Noel de Palma1 1University of Joseph Fourier, Grenoble, France. E-mail: fi[email protected] 2University of Toulouse, Toulouse, France. E-mail: fi[email protected] 3Linagora, Grenoble, France. E-mail: (vincent.zurczak, pygibello)@linagora.com Abstract—Cloud computing is nowadays a popular technology be divided into the following categories: (un)installation and for hosting IT services.
    [Show full text]
  • Proyecto Final De Carrera
    PROYECTO FINAL DE CARRERA Titulo : Cloud Bursting: Abiquo integration with public clouds Titulación : Enginyeria superior en Informàtica (pla 2003) Autor: Zain Malik Shakeel Director: Javier Fernández Ponente: Enrique Mayol Sarroca Data: 21 de junio de 2013 Abiquo: Integración con cloud público 2 Resumen El proyecto “Cloud Bursting: Abiquo integration with public clouds” es una ampliación en la plataforma Abiquo con la idea de llevar la plataforma un paso más allá de hipervisores. La idea es habilitar una plataforma de gestión de IaaS para que pueda aprovechar los recursos de computación de un cloud público. Gracias a esta integración los usuarios de plataforma Abiquo serán capaces de no tan solo desplegar máquinas virtuales en su centro de datos sino también cuando necesiten podrán utilizar recursos de un cloud público. Abiquo: Integración con cloud público 3 Agradecimientos y dedicatoria A mis padres, Malik Shakeel y Gulshan Ara, por el apoyo incondicional que siempre me han prestado. A mis hermanos, Komal e Ibrar, por estar siempre a mi lado. A Xavier, por proponer un proyecto tan interesante. A equipo de desarrolladores de Abiquo, por la ayuda y ambiente laboral positivo. A Enric, por la orientación y la ayuda en la organización de proyecto. Dedico este proyecto a Malik Muhammed Shareef, Riaz Butt, Malik Saddur-ud-din y Malik Rustam Ali mis abuelos, mi bisabuelo y mi tatarabuelo que aunque ya no están conmigo siempre me han servido de inspiración en cada paso de mi vida. Abiquo: Integración con cloud público 4 ÍNDICE 1. Introducción .......................................................................................................5 1.1 Definición ............................................................................................................... 5 1.2 Historia de cloud ................................................................................................
    [Show full text]