Using Bitnbd for Provisioning Virtual Machines in Opencirrus Testbed

Total Page:16

File Type:pdf, Size:1020Kb

Using Bitnbd for Provisioning Virtual Machines in Opencirrus Testbed Using BitNBD for Provisioning Virtual Machines in OpenCirrus Testbed Yong-Ju Lee, Hag-Young Kim Dept. of Cloud Computing Research Electronics and Telecommunications Research Institute South Korea {yongju, h0kim}@etri.re.kr Abstract—BitTorrent is a convenient tool for downloading and distributing very large files. This feature throws us a clue if II. RELATED WORK virtual machine images in distributed environments are possible to move from one site to another. Users also gain the The OpenCirrus testbed [9] in figure 1 is a collection of ability to have their computer that follows them rather than be tied to one physical location. In this paper, we explore how the federated data centers for open-source systems and services BitTorrent protocol can be applied so that BitTorrent-based research. Currently, the testbed is composed of 10 sites in provisioning for virtual machines can improve cloud resource North America, Europe, and Asia. The project is a joint management and reduce response time. initiative sponsored by HP, Intel, and Yahoo!, in collaboration with other institute. ETRI has joined in 2009. Keywords: BitNBD, VM Provisioning, Cloud Computing I. INTRODUCTION Cloud computing is the emergent technology that promises on-demand, dynamic, and easily accessible computing power. Dynamic provisioning of computing resources using Operating System (OS) and Virtual Machine (VM) technologies can be considered. With the advent of virtualization technologies like Xen [1], VMware [2], and KVM [3], data centers have been Figure 1. OPENCIRRUS SITES going through a revolution in design. Virtualization enables A typical OpenCirrus service stack consists of physical multiple operating systems and applications, to run resource set (PRS), Tashi, Ganglia [10], and other concurrently on a single server without interfering with each application framework services (e.g., Hadoop [11], Pig [12]). other. Today, it leads to turn general clusters into an A PRS is a set of VLAN-isolated compute, storage, and Infrastructure-as-a-Service (IaaS) cloud. In terms of VM networking resources. At this time, a cluster is partitioned images management, VM images are cloned from a base into one or more PRS dominants, dynamically allocated, image at first. The cloning process is executing a copy and managed by a PRS service, at the request of PRS clients. command on the raw image file. The cloned images are then This research contributes to advancing the resource set copied using secure shell (SSH) or shared via NFS onto the whether they are physical resources or virtual resources. Our virtualization nodes. The time taken to provision an instance BitTorrent-based provisioning shows the benefits of the on- is not neglected. There are open source IaaS cloud solutions demand provision of physical or virtualized resources as a like Eucalyptus [4], Open Nebula [5], Nimbus [6], ASPEN service and energy-efficient consolidation for cloud [7], and Tashi [8]. In general, image management uses local computing. It provides faster deployment to meet growing file copy and distribution via NFS. This potentially means demand and improve performance. that a more efficient method can be used for VM images Figure 2 illustrates testbed pictures of the cluster being distribution. installed in late 2010 at ETRI. The platform currently Efficient resource distribution mechanisms provide just- consists of 512 nodes (4096 cores), each with quad-core in-time resource provisioning in cloud computing, and it X3320 processors and 4GBs of main memory. Each compute would affect the execution of a cloud service. In this paper, node has 500GB storage and two 1Gb/s link to each core we explore how the BitTorrent mechanism can support switch. provisioning virtual resources, and reveal benefits of the on- demand provision of virtualized resources as a service. Our image server is based on Linux platform. For that reason, Windows mkfs and mount utilities under Linux is necessary to deploy Windows images in our image server. Cloning Windows images has problems including master boot record(MBR), different disk ids, Windows volume serial number, and extended attributes(ACL, Junction, and Figure 2. ETRI SITE so on). Especially, A Disk Identifier (or Disk Signature) applies to an entire hard disk drive (not a single partition). Figure 3 illustrates BitTorrent-based Network Block A Disk Identifier/Disk Signature is a 4-byte (longword) Device (BitNBD) architecture for provisioning virtual number that is randomly generated when the Master Boot machines efficiently[13]. A client has both NBD client Record/Partition Table is first created and stored. The Disk module and our BitNBD module. The NBD client module Identifier is stored at byte offset 1B8 (hex) through 1BB communicates with the BitNBD module for reading and (hex) in the MBR disk sector. Windows Vista/7 uses the writing blocks. The BitNBD module transfers virtual Disk Signature to locate boot devices so changing it can machine image with other peers and provides read/write prevent them from booting. So far as I know Grub and operations. Linux don't use the Disk Identifier. Especially, extended attributes saved a script file(e.g., Client A gc_fattr.sh). In Windows Vista/7, the default locations for Peer A BitNBD A NBD Client A Virtual Machine user data and system data have changed. For example, user Block I/O A operations data that was previously stored in (9, 1, ) the %SystemDrive%\Documents and Settings directory is Peer B BitTorrent network BitNBD B now stored in the %SystemDrive%\Users directory. In order Non-cached read NBD Client B Cached read Virtual Machine to minimize the amount of application compatibility Write, rewrite B (1, 2, ) problems users would experience due to the change in Peer C folders names, such as C:\Documents and Settings moving Client B legend to C:\Users, Microsoft employed junction points. A Junction Empty blocks Cached blocks Point is a physical location on a local hard disk that points Updated blocks (9, 1, )(1, 2, ) (bitmap, version, updated block) to another location on that disk or another storage device. A volume boot record (also known as a volume boot sector Figure 3. BITTORRENT-BASED NETWORK BLOCK DEVICE or a partition boot sector) is a type of boot sector, stored in a (BITNBD) ARCHITECTURE disc volume on a hard disk, floppy disk, or similar data The BitNBD also uses the “split read/write” mechanism storage device, that contains code for booting programs where the data is read from other peers while the data is being written locally. Read/reread blocks are obtained by stored in other parts of the volume. neighbor peers or local caches. Write/rewrite blocks can be written as separately. It contains block bitmap, block version number, and updated block's data to allow the BitNBD to record which blocks have modified. In figure 3, the steps for constructing a virtual machine in a configuration of the BitNBD: 1) A users uses a network block device to request a VM. Internally, the network block devices already mounted. 2) The VM template disk image is shared to other compute nodes. 3) The BitTorrent module in client side connects the image server for obtaining Figure 4. DISK LAYOUT IN WINDOWS 7 appropriate peers to distribute a VM. 4) The virtual machine Figure 4 illustrates a disk layout in Windows 7. Windows emulator(e.g., QEMU) requests booting blocks to the 7 has two partitions. The first partition is a hidden partition network block device module. 5) The network block device which has a boot loader. The second partition is the OS module also requests the blocks to the BitNBD module. 6) partition including user data. The steps or obtaining entire The BitNBD module processes the block I/O operations. files in two partitions: 1) the Windows golden client boots via dhcp, generates information(i.e., partition information, III. CASE STUDY OF PROVISIONING VMS disk identifier from basic disk, and volume serial number from partitioned disk) and then invokes rsync daemon for a A. Windows Provisioning Issues for VMs image server. 2) The image server gets all files in Windows client via rsync protocol. The cloning process is done. 3) The client machine for installation boots via dhcp, creates other is bias BitNBD selection located in the tracker. partitions, updates the disk identifier, makes file system Basically, the tracker responses the peer list that is based on layout, updates volume serial number in each partition, the random selection. In our case, the tracker in the image mounts, and copies all file from the image repository in the server achieves biased BitNBD selection which is based on image server. cross-ISP hops. It will choose its neighbor mostly from those within the same ISP, and only have a few that are B. Intercloud Issues of the BitNBD outside the ISP. The OpenCirrus testbed, in nature, federates numerous, far-away sites with various hardware, services, and tools. C. Dynamic Service Provisioning Figure 5 illustrates the conceptual view of the Initial deployment and subsequent dynamic Intra/Intercloud for deploying the BitNBD. The reconfiguration of a software is difficult because of many intracloud(e.g., ETRI site) in South Korea has abundant interdependdent factors including software dependencies network bandwidth. Thus, the BitNBD can achieve its role and installing orders. We have developed a dynamic SW for distributing VM images efficiently. The Intercloud(e.g., provisioning technique for carrying out the deployment of between ETRI site and others), however, potentially offers softwares. A service consists of several software packages an alternative way to manipulate cross-cloud transfers and that are used rpm-based installation procedures. For rapid to minimize possibly worries about security. The BitNBD deployment of services, dynamic deployment policy is for Intercloud will in near future employ the locality- required. awareness strategy to create near-optimal sets of collaborative network block devices.
Recommended publications
  • Comparative Study of Eucalyptus, Open Stack and Nimbus
    International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-4 Issue-6, January 2015 Comparative Study of Eucalyptus, Open Stack and Nimbus Lakshmi D Kurup, Chandni Chandawalla, Zalak Parekh, Kunjita Sampat Abstract- Cloud computing is a Service Oriented Architecture ii. PaaS (Platform as a Service): A platform as a which reduces information technology overhead for the end-user service (PaaS) offering, usually depicted in all- and provides great flexibility, reduced total cost of ownership, on- cloud diagrams between the SaaS layer above it demand services and many other benefits. Hence it delivers all IT and the IaaS layer below, is a broad collection of related capabilities as services rather than product .Services on application infrastructure (middleware) services cloud are divided into three broad categories: Software as a Service, Infrastructure as a Service & Platform as a Service. (including application platform, integration, Same as services cloud is also classified as Private Cloud, Public business process management and database Cloud & Hybrid Cloud. Private cloud is gaining popularity, not services). However, the hype surrounding the PaaS only among large organizations but also small and medium concept is focused mainly on application PaaS enterprises. To deploy public or private cloud there are many (aPaaS) as the representative of the whole open source software platforms available such as Eucalyptus, category. Nimbus, OpenStack, Open Nebula, Cloud Stack and Amazon iii. SaaS (Software as a Service): Gartner defines Web Services. In this paper, we provide a comparative study of software as a service (SaaS) as software that is three open source cloud management platforms: Eucalyptus, owned, delivered and managed remotely by one or OpenStack and Nimbus.
    [Show full text]
  • A Survey of Collaborative Tools in Software Development
    1 INTRODUCTION A Survey of Collaborative Tools in Software Development Anita Sarma Institute for Software Research Donald Bren School of Information and Computer Sciences University of California, Irvine [email protected] ISR Technical Report # UCI-ISR-05-3 March 22, 2005 1 Introduction Collaboration is at the heart of software development. Virtually all software devel- opment requires collaboration among developers within and outside their project teams, to achieve a common objective. It has in fact been shown that about 70% of a software engineer’s time is spent on collaborative activities [219]. Indeed, col- laboration in software development has been studied by researchers in the fields of Software Engineering and Computer Supported Cooperative Work (CSCW) since the 1980s and has produced a wide range of collaborative tools. Enabling software developers to collaborate effectively and effortlessly is a difficult task. The collaboration needs of the team depend to a large extent on environmental factors such as, the organizational structure of the team, the domain for which the software is produced, the product structure, and individual team members. Accordingly, research in collaborative development has produced a host of tools, each typically focussing on a different aspect of collaboration. Most teams have their favorite repertoire of tools that has been built from historical use. These tools may not always be the best suited for the team, but the team still uses them nevertheless as the inertia and cost of trying out new tools surpasses the benefits. A number of classification frameworks exist that can be used to classify collaborative tools. In addition to placing the various tools in context, developers can use these frameworks to select the right mix of tools fit for their needs.
    [Show full text]
  • Chameleon: Building an Experimental Instrument for Computer Science
    www. chameleoncloud.org CHAMELEON: BUILDING AN EXPERIMENTAL INSTRUMENT FOR COMPUTER SCIENCE AS APPLICATION OF CLOUD COMPUTING Kate Keahey Argonne National Laboratory Computation Institute, University of Chicago [email protected] HEPiX October 20th, 2016 Berkeley, CA OCTOBER 20, 2016 1 CHAMELEON IN A NUTSHELL Chameleon is a facility for Computer Science experimentaon Project started 10/14, public availability since 07/15 1,000+ users, 200+ research projects It is reconfigurable: “as close as possible to having it in your lab” Up-to-date and fine-grain informaon about resources Allows you to reserve isolated nodes, reconfigure nodes at bare metal level, reboot, power on/off, custom kernel, console access, etc. It is also large-scale: “support Big Data, Big Compute research” ~650 nodes (~14,500 cores), 5 PB of storage distributed over 2 sites connected with 100G network It is complementary to other testbeds such as GENI Chameleon is an open testbed Open to all non-commercial CS research projects NSF-funded naonal facility Create account, then create or join a project (less than 24 hour review) Find out more at www.chameleoncloud.org! www. chameleoncloud.org CHAMELEON HARDWARE To UTSA, GENI, Future Partners Switch Standard Core Services Cloud Unit Front End and Data 504 x86 Compute Servers 42 compute Mover Nodes 48 Dist. Storage Servers 4 storage 102 Heterogeneous Servers x2 16 Mgt and Storage Nodes Chameleon Core Network Chicago SCUs connect to 100Gbps uplink public network AusTn core and fully (each site) connected to each other Heterogeneous Switch Cloud Units Standard Core Services Alternate Processors Cloud Unit 3.6 PB Central File and Networks 42 compute Systems, Front End 4 storage and Data Movers x10 www.
    [Show full text]
  • A Comparative Study of Current Open-Source Infrastructure As a Service Frameworks
    A Comparative Study of Current Open-source Infrastructure as a Service Frameworks Theo Lynn, Graham Hunt, David Corcoran, John Morrison and Philip Healy Irish Centre for Cloud Computing, Dublin 9, Ireland Keywords: Cloud Computing, Open Source, IaaS, Openstack, Cloudstack, Opennebula, Eucalyptus. Abstract: With the growth of cloud computing in recent years, several commercial and open source IaaS frameworks have emerged. The development of open source IaaS solutions offers a free and flexible alternative to commercial cloud services. The main contribution of this paper is to provide a qualitative comparative of current open-source IaaS frameworks. Existing research papers examining open source IaaS frameworks have focused on comparing OpenStack with a small number of alternatives. However, current research fails to adequately compare all major open source frameworks in a single study and notably lacks the inclusion of CloudStack. Our research paper provides the first overview of the five main open source cloud IaaS frameworks – OpenStack, CloudStack, OpenNebula, Eucalyptus and Nimbus. As such, this review provides researchers and potential users with an up to date and comprehensive overview of the features of each solution and allows for an easy comparison between the open source solutions. 1 INTRODUCTION the freedom to modify the source code and build a cloud that is pluggable and open to extensions while Cloud Computing technologies have seen significant reducing costs and avoiding vendor lock-in (Zhang adoption in recent years by enterprises, researchers et al., 2013; Wen et al. 2012; Bist et al., 2013). The and individuals. It is forecast that the Cloud development of open source solutions is of particular Computing industry will reach a market size of $241 importance for the further proliferation of private billion by 2020 (Reid and Kilster, 2011).
    [Show full text]
  • Cloud Computing with Nimbus March 2009, OGF25
    Cloud Computing with Nimbus March 2009, OGF25 Thilo Kielmann (slides by Kate Keahey [email protected]) Nimbus Nimbus goals Allow providers to build clouds Private clouds (privacy, expense considerations) E.g., Workspace Service: open source EC2 implementation Allow users to use cloud computing Do whatever it takes to enable scientists to use IaaS E.g.,Context Broker: creates turnkey virtual clusters Allow developers to experiment with Nimbus For research or usability/performance improvements Community extensions and contributions, e.g Ian Gable and his team (UVIC) contributed a monitoring component First released in September 2005 3/2/09 The Nimbus Toolkit: http//workspace.globus.org The Workspace Service Pool Pool Pool node node node VWS Service Pool Pool Pool node node node Pool Pool Pool node node node Pool Pool Pool node node node 3/2/09 The Nimbus Toolkit: http//workspace.globus.org The Workspace Service The workspace service publishes information about each workspace Pool Pool Pool node node node VWS Service Pool Pool Pool node node node Users can find out information about their Pool Pool Pool workspace (e.g. what IP node node node the workspace was bound to) Pool Pool Pool node node node Users can interact directly with their workspaces the same way the would with a physical machine. 3/2/09 The Nimbus Toolkit: http//workspace.globus.org Workspace Service: Interfaces and Clients Two kinds of interfaces: Web Service Resource Framework (WSRF) Web Services + state management (WS-Notification) Cloud client (similar commads
    [Show full text]
  • Criteria for Evaluation of Open Source Cloud Computing Solutions
    Criteria for Evaluation of Open Source Cloud Computing Solutions Ivan Voras, Branko Mihaljević, and Marin Orlić Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia [email protected], [email protected], [email protected] Abstract. Cloud computing promises on- IT departments to elastically deploy resources demand scalability and flexibility for the from a centrally managed pool. Open source enterprise environment and open source solutions, with lower initial investments, are a products have a large presence in this area. We viable alternative to commercial vendors, have devised an elaborate set of criteria for especially as business conditions deteriorate and evaluation and comparison of open source IaaS the economy constrains. cloud computing solutions which can be used for ranking and choosing between the available 3. Criteria products. We explain each criteria group, and give both the rationale and the estimated impact Evaluation of complex products requires an of the criteria. We also briefly introduce a elaborate and complete set of evaluation criteria number of most common open source cloud as a baseline for comparison. Even though the computing IaaS solutions to be evaluated using primary focus of our evaluation is on open the explained criteria. source IaaS products, we found the opportunity to objectively compare such products to those Keywords. Cloud Computing, Open Source from closed/commercial domain to be very Cloud, Infrastructure as a Service, Enterprise, valuable. Furthermore, some of the criteria can Evaluation be directly applied to or easily extended to apply to other cloud computing models (SaaS and 1. Introduction PaaS). This is especially true for high-level criteria such as management, security and service Cloud computing is a recent combination of levels.
    [Show full text]
  • Design of an Accounting and Metric-Based Cloud-Shifting
    Design of an Accounting and Metric-based Cloud-shifting and Cloud-seeding framework for Federated Clouds and Bare-metal Environments Gregor von Laszewski1*, Hyungro Lee1, Javier Diaz1, Fugang Wang1, Koji Tanaka1, Shubhada Karavinkoppa1, Geoffrey C. Fox1, Tom Furlani2 1Indiana University 2Center for Computational Research 2719 East 10th Street University at Buffalo Bloomington, IN 47408. U.S.A. 701 Ellicott St [email protected] Buffalo, New York 14203 ABSTRACT and its predecessor meta-computing elevated this goal by not We present the design of a dynamic provisioning system that is only introducing the utilization of multiple queues accessible to able to manage the resources of a federated cloud environment the users, but by establishing virtual organizations that share by focusing on their utilization. With our framework, it is not resources among the organizational users. This includes storage only possible to allocate resources at a particular time to a and compute resources and exposes the functionality that users specific Infrastructure as a Service framework, but also to utilize need as services. Recently, it has been identified that these them as part of a typical HPC environment controlled by batch models are too restrictive, as many researchers and groups tend queuing systems. Through this interplay between virtualized and to develop and deploy their own software stacks on non-virtualized resources, we provide a flexible resource computational resources to build the specific environment management framework that can be adapted based on users' required for their experiments. Cloud computing provides here a demands. The need for such a framework is motivated by real good solution as it introduces a level of abstraction that lets the user data gathered during our operation of FutureGrid (FG).
    [Show full text]
  • Cloud Computing with Nimbus February 2009
    Cloud Computing with Nimbus February 2009 Kate Keahey ([email protected]) University of Chicago Argonne National Laboratory Cloud Computing SaaS Software-as-a-Service elasticity computing on demand PaaS Platform-as-a-Service capital expense operational expense IaaS Infrastructure-as-a-Service 8/25/2009 The Nimbus Toolkit: http//workspace.globus.org 2 The Quest Begins Code complexity Resource control 8/25/2009 The Nimbus Toolkit: http//workspace.globus.org 3 “Workspaces” Dynamically provisioned environments Environment control Resource control Implementations Via leasing hardware platforms: reimaging, configuration management, dynamic accounts… Via virtualization: VM deployment 8/25/2009 The Nimbus Toolkit: http//workspace.globus.org 4 A Brief History of Nimbus First STAR production run on EC2 Xen released EC2 goes online Nimbus Cloud comes online 2003 2006 2009 Research on First WSRF EC2 gateway Support for agreement-based Workspace Service available EC2 interfaces services release Context Broker release 8/25/2009 The Nimbus Toolkit: http//workspace.globus.org 5 Nimbus Overview Goal: cloud computing for science Open source, extensible IaaS implementation A platform for experimentation with features for scientific needs and interoperability Set up private clouds (privacy, expense considerations) Workspace Service Orchestration tools Focus on end-to-end picture Context Broker, gateway http://workspace.globus.org/ 8/25/2009 The Nimbus Toolkit: http//workspace.globus.org 6 The Workspace Service Pool Pool Pool node node node VWS Service Pool Pool Pool node node node Pool Pool Pool node node node Pool Pool Pool node node node 8/25/2009 The Nimbus Toolkit: http//workspace.globus.org 7 The Workspace Service The workspace service publishes information on each workspace Pool Pool Pool node node node VWS Service Pool Pool Pool node node node Users can query this information to find out things about their Pool Pool Pool workspace (e.g.
    [Show full text]
  • Designing a Flexible and Modular Architecture for a Private Cloud: a Case Study
    See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/235909611 Designing a flexible and modular architecture for a private cloud: A case study Conference Paper · June 2012 DOI: 10.1145/2287056.2287067 CITATIONS READS 6 53 2 authors: Valeria Cardellini Stefano Iannucci University of Rome Tor Vergata Mississippi State University 108 PUBLICATIONS 2,711 CITATIONS 21 PUBLICATIONS 238 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Workshop on Container-based Systems for Big data, Distributed and Parallel computing (CBDP’2018) View project Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP) View project All content following this page was uploaded by Stefano Iannucci on 17 March 2016. The user has requested enhancement of the downloaded file. Designing a Flexible and Modular Architecture for a Private Cloud: a Case Study Valeria Cardellini Stefano Iannucci University of Roma “Tor Vergata” University of Roma “Tor Vergata” [email protected] [email protected] ABSTRACT and medium organizations are attracted by this computing Cloud computing is an emerging paradigm used by an in- paradigm because it let them not to own an in-house data- creasingly number of enterprises to support their business center with the associated risks and costs but rather to just and promises to make the utility computing model fully re- rent what it is effectively needed time after time. alized by exploiting virtualization technologies. Free soft- There are different types of clouds, each with its own bene- ware is now mature not only to offer well-known server-side fits and drawbacks.
    [Show full text]
  • Use Style: Paper Title
    IJRECE VOL. 7 ISSUE 3 JULY.-SEPT 2019 ISSN: 2393-9028 (PRINT) | ISSN: 2348-2281 (ONLINE) Comparative Analysis of Various Open Source Cloud Computing Tools Simranjit Kaur1, Dr. Sumesh Sood2 1IK Gujral Punjab Technical University, Jalandhar, India 2IK Gujral Punjab Technical University Dinanagar Campus, Dinanagar, India (E-mail: [email protected]) Abstract—Cloud computing is a service oriented B. Cloud Deployment architecture which provides the end-user with greater flexibility. Due to which several commercial and open source Private Cloud: The cloud infrastructure has been infrastructures as a service frameworks have emerged. To deployed, and is maintained and operated for a deploy public or private cloud there are many open source specific organization. software available such as Eucalyptus, Nimbus, OpenStack, Public Cloud: The cloud infrastructure is available to OpenNebula and CloudStack. The main objective of this paper the public on a commercial basis by a cloud service is to compare and evaluate competitive open source cloud provider. solutions on the basis of their performance. The comparison Hybrid Cloud: The cloud infrastructure consists of a presented in this paper will benefit the developers in selecting number of clouds of any type, but the clouds have the the best open source Software for enterprises and the service ability through their interfaces to allow data and/or providers. applications to be moved from one cloud to another [3]. Keywords—Cloud Computing, Eucalyptus, Nimbus, OpenStack, CloudStack, OpenNebula Cloud computing management platforms generally refer to software and technologies used by enterprises and public administrations to construct and manage their own cloud I. INTRODUCTION architectures.
    [Show full text]
  • Comparison of Multiple Iaas Cloud Platform Solutions
    Recent Researches in Information Science and Applications Comparison of multiple IaaS Cloud platform solutions OMAR SEFRAOUI MOHAMMED AISSAOUI MOHSINE ELEULDJ MOHAMED I UNIVERSITY MOHAMED I UNIVERSITY MOHAMED I UNIVERSITY National School of Applied Science National School of Applied Science National School of Applied Science BP 669 Al Qods, OUJDA BP 669 Al Qods, OUJDA BP 669 Al Qods, OUJDA MOROCCO MOROCCO MOROCCO [email protected] [email protected] [email protected] Abstract: Currently, several solution cloud computing IaaS (Infrastructure as a Service) exists. Administartors, developers and users need to choose the best environment for them.The availability of free open source Cloud platforms is essential to further drive the proliferation of private and hybrid Cloud computing environments. In this paper, we present a comparative study between some of the IaaS commonly used to select the best suited one for deployment and research development in the field of cloud computing. The aim is to provide the computer industry with the opportunity to build a hosting architecture, massively scalable which is completely open source, while overcoming the constraints and the use of proprietary technologies. Then, we present the solution OpenStack retained by the comparative study. We discuss in detail its functional and architectural system. We finish by a discussion of the motivation of our choice of the IaaS solution. Key–Words: Opencloud, IAAS, OpenStack, Eucalyptus, OpenNebula, Cloudstack, Virtualization, Scalable 1 Introduction supplier maintains the Cloud virtualization, hard- ware server, storage, networks. Among the main Cloud computing is relatively a new concept that actors of IaaS we find Amazon EC2, Rackspace, brings together all the disciplines, technologies (Web GoGrid.
    [Show full text]
  • Experiences with Managed Hosting of Virtual Machines
    Experiences with Managed Hosting of Virtual Machines Dustin Leverman2, Michael Oberg2, Henry M. Tufo1,2, and Matthew Woitaszek2 [email protected] 1 University of Colorado, Boulder, CO 2 National Center for Atmospheric Research, Boulder, CO Abstract. Virtual machines (VMs) are emerging as a powerful paradigm to deploy complex software stacks on distributed cyberinfrastructure. As a TeraGrid resource provider and developers of Grid-enabled software, we experience both the client and system administrator perspectives of service hosting. We are using this point of view to integrate and deploy a managed hosting environment based on VM technology that fulfills the requirements of both developers and system administrators. The man- aged hosting environment provides the typical base benefits of any VM hosting technique, but provides additional software support for develop- ers and system monitoring opportunities for administrators. This paper presents our experiences creating and using a prototype managed hosting environment. The design and configuration of our current implementa- tion is described, and its feature set is evaluated from the context of several current hosted projects. 1 Introduction From the perspective of application software developers and resource provider system administrators, deploying applications with complex dependencies and software environments is time-consuming and labor-intensive. Virtual machines (VMs) have emerged as a method to deploy these software stacks across dis- tributed resources quickly and easily, as the software developers can produce a golden image of their application and simply ship it – operating system and the entire execution environment – to resources across a variety of administrative domains. Yet hosting a black-box VM requiring external network connectivity is not something that many hosting organizations are prepared to do.
    [Show full text]