Synnex Corporate 2021 Line Card
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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. -
Emerging Trends
New syllabus 2020-21 Chapter 12 Emerging Trends Informatics Practices Class XI ( As per CBSE Board) Visit : python.mykvs.in for regular updates Emerging Trends Artificial Intelligence is comprised of two words Artificial and Intelligence, where Artificial means "man-made," and intelligence means "thinking power", hence AI means "a man-made thinking power.“ Artificial Intelligence exists there ,where a machine can have human based skills such as learning, reasoning, and solving problems According to the father of Artificial Intelligence, John McCarthy, it is “The science and engineering of making intelligent machines Goals of AI • To Create Expert Systems − The systems which holds intelligent behavior, learn, demonstrate, explain, and advice its users. • To Implement Human Intelligence in Machines − Creating systems that can understand, think, learn, and behave like humans. Visit : python.mykvs.in for regular updates Emerging Trends Applications of AI AI has been dominant in various fields such as − • Gaming • Natural Language Processing • Expert Systems • Vision Systems • Speech Recognition • Handwriting Recognition • Intelligent Robots Artificial intelligence is a science and technology based on disciplines such as Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. Visit : python.mykvs.in for regular updates Emerging Trends Difference between Normal Programming and AI Programming NORMAL/REGULAR PROGRAMMING AI PROGRAMMING INPUT input is a sequence of alphanumeric input may be a sight, sound, touch, symbols presented and stored as per smell or taste. Sight means one some given set of previously dimensional symbols such as typed text, stipulated rules and that uses a two dimensional objects or three limited set of communication media dimensional scenes. such as keyboard, mouse, disc, etc. -
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. -
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. -
Enlight* Cloud Computing for B2B & E-Commerce: Soluton Brief
SOLUTION BRIEF eNlight Cloud B2B Enterprises & e-commerce Cloud Computing A highly versatile, agile and elastic cloud solution that automatically provisions resources to meet business-critical demands Intel and ESDS join forces to help B2B enterprises accelerate their cloud migration journey Dedicated servers are no longer sustainable as they age due to their lack of scalability, agility and high operating costs. Unlike cloud servers, which allow resources to be dynamically provisioned in tandem with real-time demands, on premise servers rely on pre-allocated resources. Given the challenges involved with resource planning, IT managers inevitably end up over- or under-allocating computing resources such as bandwidth, CPU and RAM. To manage data growth more efficiently, many enterprises are turning to cloud computing. 38% of enterprise IT organizations have already adopted cloud computing, a figure projected to increase to 45% by 2019.1 Considering the myriad “ As part of our commitment of benefits cloud computing offers − from lower capital and operating costs to greater scalability, accessibility and manageability, digital transformation is no to accelerate digital longer a question of why but when. Findings from Gartner, the leading global IT research firm substantiates this. A report by Gartner estimates that the public transformation among cloud service-based market will grow by 18 percent by 20172 with the shift from enterprises, Intel helped traditional IT set-ups to cloud-based infrastructures estimated to affect more than 1 trillion in IT spending by 2020. ESDS build their cloud infrastructure in line with Business Challenge: B2B cloud-migration is a complex process with operational and security risks their scalability, security and Although cloud-migration appears to be the way forward for most enterprises, the availability requirements. -
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). -
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 -
Ctrls Is Emerging As World's Largest Rated-4 Hyperscale Datacenter Player
HPE enables cloud-enabled COVID-19 Test Labs and OPD Centers Cognizant buys Collaborative Solutions AMIDST PANDEMIC ‘REMOTE WORKING WITH DAILY WEBINARS’- THE NEW TECHNOLOGY TRENDS FOR 2020 PG 31 VOLUME XXI ISSUE 09 MAY 2020 PRICE Rs. 50 CtrlS is Emerging as World’s Largest Rated-4 Hyperscale Datacenter Player with over 6 Million Square Feet of Data Center Space powered by 600+ MW Sridhar Pinnapureddy Founder and CEO CtrlS Datacenters Ltd. The company has emerged as an Outlier in the Indian Data Center Space and is the Most preferred choice of Fortune 500 Companies www.varindia.com May 2020 1 COVID-19 suffocating your business performance? Make uninterrupted business operations possible even as employees work from home. Leverage iValue's range of solutions to achieve seamless and safe connectivity and access to the organization's applications and resources in the cloud or datacenter. iValue can deploy a smooth remote work environment for your organization through. A single, unified client for A Zero Trust policy that Centralized visibility, Assured scalability. access that operates exactly secures the access configuration and policy Having a solution that is the same way whether you regardless of the management. Also, secure but slow to are accessing an app in the location of the user, with analytics to help respond or doesn’t scale, cloud, establishing a VPN device and application. tune the deployment. is not effective in a connection or trying to modern business network. access internal resources through any other medium. Why trust iValue? We are a leading provider of secure access, with a single client for access, centralized management for all access and visibility across your network. -
Synnex Corporate 2021 Line Card
SYNNEX CORPORATE 2021 LINE CARD Corporate Headquarters Fremont, California* Sales Headquarters Greenville, South Carolina Warehouse Locations 1 Tracy, California 3 5 2 Chantilly, Virginia 6 10 3 Romeoville, Illinois 1 4 Richardson, Texas 2 5 Monroe, New Jersey 8 6 Grove City, Ohio 9 7 Miami, Florida 4 8 Southaven, Mississippi* 9 Chino, California 10 Columbus, Ohio 7 *ISO-9001:2015 Manufacturing Facilities ADVANCING IT INNOVATIONS SERVICES Map your destination to increased productivity, Sounds simple, but at • GSA Schedule cost savings and overall business success. Our SYNNEX we understand that • ECExpress Online Ordering true business growth requires • Software Licensing distribution centers are strategically located across access to meaningful, tangible the United States to provide you with product business infrastructure, tools, • Reseller Marketing Services where you need it when you need it. Each of our and resources. That’s why • Leasing distribution centers provides our customers with over the last year we’ve • Integration Services invested heavily in providing • Trade Up warehouse ratings of nearly 100% in accuracy and our partners with high-impact • A Menu of Financial Services business services, designed PPS (pick, pack and ship) performance. Couple that • SYNNEX Service Network with unsurpassed service from our infrastructure from the ground up to provide real value, and delivering on • ASCii Program support, giving you one more reason why you our commitment to provide • PRINTSolv should be doing business with SYNNEX. That’s -
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. -
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). -
PX-850A X 16X DVD-ROM 12 48X CD-R/ROM Internal DVD Super Multi Drive 32X CD-RW
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