Top PDF Companies in the cloud: Cloud Computing

Companies in the cloud: Cloud Computing

Companies in the cloud: Cloud Computing

Security standards define the processes, procedures, and practices necessary for implementing a security program. These standards also apply to cloud related IT activities and include specific steps that should be taken to ensure a secure environment is maintained that provides privacy and security of confidential information in a cloud environment. Security standards are based on a set of key principles intended to protect this type of trusted environment. Messaging standards, especially for security in the cloud, must also include nearly all the same considerations as any other IT security endeavor. A basic philosophy of security is to have layers of defense, a concept known as defense in depth. This means having overlapping systems designed to provide security even if one system fails. An example is a firewall working in conjunction with an intrusion- detection system (IDS). Defense in depth provides security because there is no single point of failure and no single entry vector at which an attack can occur. For this reason, a choice between implementing network security in the middle part of a network (i.e., in the cloud) or at the endpoints is a false dichotomy. Some protocols used for cloud security are:
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Essentials of cloud computing (2015) pdf

Essentials of cloud computing (2015) pdf

technology enables a vendor’s cloud software to automatically move data from a piece of hardware that goes bad or is pulled offline to a section of the system or hardware that is functioning or operational. Therefore, the client gets seam- less access to the data. Separate backup systems, with cloud disaster recov- ery strategies, provide another layer of dependability and reliability. Finally, cloud computing also promotes a green alternative to paper-intensive office functions. It is because it needs less computing hardware on premise, and all computing-related tasks take place remotely with minimal computing hard- ware requirement with the help of technological innovations such as virtual- ization and multitenancy. Another viewpoint on the green aspect is that cloud computing can reduce the environmental impact of building, shipping, hous- ing, and ultimately destroying (or recycling) computer equipment as no one is going to own many such systems in their premises and managing the offices with fewer computers that consume less energy comparatively. A consolidated set of points briefing the benefits of cloud computing can be as follows: 1. Achieve economies of scale: We can increase the volume output or pro-
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Cloud Computing with e Science Applications   Olivier Terzo, Lorenzo Mossucca pdf

Cloud Computing with e Science Applications Olivier Terzo, Lorenzo Mossucca pdf

As an emerging state-of-the-art technology, cloud computing has been applied to an extensive range of real-life situations. Health care service is one of such important application fields. We developed a ubiquitous health care system, named HCloud, after comprehensive evaluation of requirements of health care applications. It is provided based on a cloud computing plat- form with characteristics of loose coupling algorithm modules and powerful parallel computing capabilities that compute the details of those indicators for the purpose of preventive health care service. First, raw physiological sig- nals are collected from the body sensors by wired or wireless connections and then transmitted through a gateway to the cloud platform, where storage and analysis of the health status are performed through data-mining tech- nologies. Last, results and suggestions can be fed back to the users instantly for implementing personalized services that are delivered via a heteroge- neous network. The proposed system can support huge physiological data storage; process heterogeneous data for various health care applications, such as automated electrocardiogram (ECG) analysis; and provide an early warn- ing mechanism for chronic diseases. The architecture of the HCloud platform for physiological data storage, computing, data mining, and feature selections is described. Also, an online analysis scheme combined with a Map-Reduce parallel framework is designed to improve the platform’s capabilities. Performance evaluation based on testing and experiments under various conditions have demonstrated the effectiveness and usability of this system.
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Cloud Computing pdf

Cloud Computing pdf

Abstract The surging demand for inexpensive and scalable IT infrastructures has led to the widespread adoption of Cloud computing architectures. These architec- tures have therefore reached their momentum due to inherent capacity of simplifi ca- tion in IT infrastructure building and maintenance, by making related costs easily accountable and paid on a pay-per-use basis. Cloud providers strive to host as many service providers as possible to increase their economical income and, toward that goal, exploit virtualization techniques to enable the provisioning of multiple virtual machines (VMs), possibly belonging to different service providers, on the same host. At the same time, virtualization technologies enable runtime VM migration that is very useful to dynamically manage Cloud resources. Leveraging these fea- tures, data center management infrastructures can allocate running VMs on as few hosts as possible, so to reduce total power consumption by switching off not required servers. This chapter presents and discusses management infrastructures for power- effi cient Cloud architectures. Power effi ciency relates to the amount of power required to run a particular workload on the Cloud and pushes toward greedy con- solidation of VMs. However, because Cloud providers offer Service-Level Agreements (SLAs) that need to be enforced to prevent unacceptable runtime per- formance, the design and the implementation of a management infrastructure for power-effi cient Cloud architectures are extremely complex tasks and have to deal with heterogeneous aspects, e.g., SLA representation and enforcement, runtime reconfi gurations, and workload prediction. This chapter aims at presenting the cur- rent state of the art of power-effi cient management infrastructure for Cloud, by care- fully considering main realization issues, design guidelines, and design choices. In addition, after an in-depth presentation of related works in this area, it presents some novel experimental results to better stress the complexities introduced by power-effi cient management infrastructure for Cloud.
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CLOUD COMPUTING

CLOUD COMPUTING

Cloud computing is a method for delivering information technology services in which resources are retrieved from internet through web based tools and applications, as opposed to a direct connection to a server. It is called cloud computing because the information being accessed is found in the cloud and doesnot require a user to be specified place to gain access to it. Companies providing cloud services enable users to store files and applications on remote servers .Cloud compting recently developing paradigm of distributed computing. In 1969 [16] L. Kleinrock anticipated, “As of now, computer networks are still in their infancy. But as they grow up and become more sophisticated, we will probably see the spread of ’computer utilities’ which, like present electric and telephone utilities, will service individual homes and offices across the country.” The term Cloud computing was given prominence first by Google’s CEO Eric Schmidt in So the birth of cloud computing is very recent phenomena although its root belongs to some old ideas with new business, technical and social perspectives. From the architectural point of view cloud is naturally build on an existing grid based architecture and uses the grid services and adds some technologies like virtualization and some business models.
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USE OF CLOUD COMPUTING IN MANUFACTURING COMPANIES

USE OF CLOUD COMPUTING IN MANUFACTURING COMPANIES

The Cloud model has been criticized by privacy advocates for the greater ease in which the companies hosting the Cloud services control and can monitor lawfully or unlawfully, the communication and data stored between the user and the host company. Instances such as the secret NSA program, working with AT&T, and Verizon, which recorded over 10 million phone calls between American citizens, causes uncertainty among privacy advocates, and the greater powers it gives to telecommunication companies to monitor user activity.

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Handbook of Cloud Computing pdf

Handbook of Cloud Computing pdf

The next layer within ITaaS is Platform as a Service, or PaaS. At the PaaS level, what the service providers offer is packaged IT capability, or some logical resources, such as databases, file systems, and application operating environment. Currently, actual cases in the industry include Rational Developer Cloud of IBM, Azure of Microsoft and AppEngine of Google. At this level, two core technolo- gies are involved. The first is software development, testing and running based on cloud. PaaS service is software developer-oriented. It used to be a huge difficulty for developers to write programs via network in a distributed computing environ- ment, and now due to the improvement of network bandwidth, two technologies can solve this problem: the first is online development tools. Developers can directly complete remote development and application through browser and remote console (development tools run in the console) technologies without local installation of development tools. Another is integration technology of local development tools and cloud computing, which means to deploy the developed application directly into cloud computing environment through local development tools. The second core technology is large-scale distributed application operating environment. It refers to scalable application middleware, database and file system built with a large amount of servers. This application operating environment enables appli- cation to make full use of abundant computing and storage resource in cloud computing center to achieve full extension, go beyond the resource limitation of single physical hardware, and meet the access requirements of millions of Internet users.
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Cloud Computing and Digital Media Fundamentals pdf

Cloud Computing and Digital Media Fundamentals pdf

It is foreseen that cloud computing could become a disruptive technology for mobile multimedia applications and services [18]. In order to meet mul- timedia’s QoS requirements in cloud computing for multimedia services over the Internet and mobile wireless networks, Zhu et al. [3] proposed a multimedia cloud computing framework that leverages cloud computing to provide multimedia applications and services over the Internet. The prin- cipal conceptual architecture is shown in Figure 1.5. Zhu et al. addressed multimedia cloud computing from multimedia-aware cloud (media cloud) and cloud-aware multimedia (cloud media) perspectives. The media cloud (Figure 1.5a) focuses on how a cloud can perform distributed multimedia processing and storage and QoS provisioning for multimedia services. In a media cloud, the storage, CPU, and GPU are presented at the edge (i.e., MEC) to provide distributed parallel processing and QoS adaptation for various types of devices. The MEC stores, processes, and transmits media data at the edge, thus achieving a shorter delay. In this way, the media cloud, composed of MECs, can be managed in a centralized or peer-to-peer (P2P) manner. The cloud media (Figure 1.5b) focuses on how multimedia ser- vices and applications, such as storage and sharing, authoring and mashup, adaptation and delivery, and rendering and retrieval, can optimally utilize cloud computing resources to achieve better quality of experience (QoE). As depicted in Figure 1.5b, the media cloud provides raw resources, such as hard disk, CPU, and GPU, rented by the media service providers (MSPs) to serve users. MSPs use media cloud resources to develop their multime- dia applications and services, for example, storage, editing, streaming, and delivery.
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Mastering Cloud Computing   Rajkumar Buyya pdf

Mastering Cloud Computing Rajkumar Buyya pdf

In other cases, the loss of control of where your virtual IT infrastructure resides could open the way to other problematic situations. More precisely, the geographical location of a datacenter gen- erally determines the regulations that are applied to management of digital information. As a result, according to the specific location of data, some sensitive information can be made accessible to government agencies or even considered outside the law if processed with specific cryptographic techniques. For example, the USA PATRIOT Act 5 provides its government and other agencies with virtually limitless powers to access information, including that belonging to any company that stores information in the U.S. territory. Finally, existing enterprises that have large computing infra- structures or large installed bases of software do not simply want to switch to public clouds, but they use the existing IT resources and optimize their revenue. All these aspects make the use of a public computing infrastructure not always possible. Yet the general idea supported by the cloud computing vision can still be attractive. More specifically, having an infrastructure able to deliver IT services on demand can still be a winning solution, even when implemented within the private premises of an institution. This idea led to the diffusion of private clouds, which are similar to pub- lic clouds, but their resource-provisioning model is limited within the boundaries of an organization.
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Mobile Cloud Computing pdf

Mobile Cloud Computing pdf

This book comprehensively debates on the emergence of mobile cloud computing from cloud computing models. Various technological and architectural advancements in mobile and cloud computing have been reported. It has meticulously explored the design and architecture of computational offloading solutions in cloud and mobile cloud computing domains to enrich mobile user experience. Furthermore, to optimize mobile power consumption, existing solutions and policies toward green mobile computing, green cloud computing, green mobile networking, and green mobile cloud computing are briefly discussed. The book also presents numerous cloud and mobile resource allo- cation and management schemes to efficiently manage existing resources (hardware and software). Recently, integrated networks (e.g., WSN, VANET, MANET) have sig- nificantly helped mobile users to enjoy a suite of services. The book discusses existing architecture, opportunities, and challenges, while integrating mobile cloud comput- ing with existing network technologies such as sensor and vehicular networks. It also briefly expounds on various security and privacy concerns, such as application security, authentication security, data security, and intrusion detection, in the mobile cloud com- puting domain. The business aspects of mobile cloud computing models in terms of resource pricing models, cooperation models, and revenue sharing among cloud pro- viders are also presented in the book. To highlight the standings of mobile cloud comput- ing, various well-known, real-world applications supported by mobile cloud computing models are discussed. For example, the demands and issues while deploying resource- intensive applications, including face recognition, route tracking, traffic management, and mobile learning, are discussed. This book concludes with various future research directions in the mobile cloud computing domain to improve the strength of mobile cloud computing and to enrich mobile user experience.
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PC Today   Cloud Computing Options pdf

PC Today Cloud Computing Options pdf

Commonly, agility, delivery speed, and cost savings entice companies to public clouds. Public cloud, for example, can free a company from having to invest in consolidating, expanding, or building a new data center when it outgrows a current facility, Kavis says. IT really doesn’t “want to go back to the well and ask management for another several mil- lion dollars,” thus it dives into the public cloud, he says. Stadtmueller says the public cloud is the least ex- pensive way to access compute and storage capacity. Plus, it’s budget- friendly because up-front infra- structure capital investments aren’t required. Businesses can instead align expenses with their revenue and grow capacity as needed. This is one reason why numerous startups choose all- public-cloud approaches.
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Report  4th Annual Trends in Cloud Computing  Full Report pdf

Report 4th Annual Trends in Cloud Computing Full Report pdf

One  of  the  critical  questions  for  channel  companies  to  answer  is  whether  or  not  cloud  makes  sense  from   an  ROI  perspective  and  if  so,  in  what  capacity  and  in  which  customer  scenarios.  This  basic  “economics  of   the  cloud”  discussion  has  been  front-­‐and-­‐center  in  the  channel  for  the  better  part  of  the  last  three  to   five  years.  The  conversation  is  complicated,  due  in  large  part  to  the  wide  variety  of  cloud  business  model   options  and  potential  revenue  structures  to  explore  as  well  as  differing  customer  needs.  And  yet,  we  are   seeing  solution  providers  move  more  decisively.  Nearly  6  in  10  said  they  proactively  pursued  multiple   segments  of  the  various  cloud  business  models  in  an  attempt  to  quickly  and  comprehensively  enter  the   cloud  market,  with  medium  and  larger  firms  more  likely  to  have  gone  this  route  than  the  smallest   channel  player  (see  Section  3  of  this  report  for  a  detailed  discussion  of  business  models).  As  a  result,  a   segment  of  companies  have  assembled  quantifiable  tracking  metrics  on  revenue  and  profit  margin,   which  can  serve  as  a  guidepost  for  channel  companies  moving  more  slowly  into  cloud.    
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Secure Cloud Computing [2014] pdf

Secure Cloud Computing [2014] pdf

Despite the tremendous business and technical advantages, what we shall always keep in mind is that cloud computing would not be our wonderland until users’ outsourced sensitive data could hide from the prying eyes. Privacy concern is one of the primary hurdles that prevent the widespread adoption of the cloud by potential users, especially if the private data of users used to reside in the local storage are to be outsourced to and computed in the cloud. Imagine that CSPs host the services looking into your personal emails, financial and medical records, and social network profiles. Although these sensitive data could be protected by deploying intrusion detection systems, firewalls, or even segmenting data in a virtualized environment, CSP possesses full control of the cloud infrastructure including the system hardware and lower levels of software stack. Privacy breach is still likely to occur owing to the existence of disgruntled, profiteered or curious employees from CSP [25, 37]. Encrypting-then-outsourcing [28,48] provides us strong guarantee that no one could mine any useful information from the ciphertext of users’ data. Many people argue that sensitive data has to be encrypted before outsourcing in order to provide user data privacy against the cloud service providers. However, encrypted data makes data utilization a very challenging task. One example is keyword search functions on the documents stored in the cloud. Without those usable data services, the cloud will become merely a remote storage which provides limited value to all parties.
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Sybex VMware Private Cloud Computing with vCloud Director Jun 2013 pdf

Sybex VMware Private Cloud Computing with vCloud Director Jun 2013 pdf

It’s also critical to avoid thinking of cloud computing as a drive to reduce your operational headcount or costs. Although lowering costs is a valid business goal, it’s also a way of taking a lot of the day-to-day repetitive work out of your operations through automation. Automation enables IT staff to do something that adds benefi t to the business, allowing them more time to focus on projects rather than business as usual. This may sound like a well-used truism that is trotted out by management, and it is often overused to justify technology spending. However, if you think about the way the IT industry is moving—increasingly making use of lower-cost headcount to perform operational tasks, often through offshoring or outsourcing—you should see an opportunity to implement cloud computing as a way of developing your career and mov- ing up the stack to stay relevant in a changing world rather than being left to compete with a cheaper workforce.
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Cloud Computing for Logistics pdf

Cloud Computing for Logistics pdf

The fi rst step is the development phase. An App Provider implements a service following the guidelines described in chapter “ Empirical Qualitative Analysis of the Current Cloud Computing Market for Logistics ” . The hard requirements are that RESTful interfaces and service calls must be implemented. Additionally, the BO- stack including BODs and Mini-BODS, of the Logistics Mall environment must also be used for communication and the BO Instance Repository must be used for storage of processed information and data shared by different apps of a process. Furthermore, an end-user and the service App has to contain the workbasket mechanism. Additionally, points are just suggestions to the provider, like the usage of the Java enterprise stack. The developers are free to choose their own pro- gramming language, but must make sure that their apps are executable within the cloud environment. This is ensured and veri fi ed during the next phase of the Logistics Mall App Life-Cycle. The development phase fi nishes with submitting the created App and integrating it into the Logistics Mall Marketplace (MMP). For the integration the app ’ s description, its price model and the date of availability are registered in the MMP. A Business App is only available until the speci fi ed date. But fi rst of all the App is not visible or purchasable for any customer as long as the Logistics Mall Veri fi cation has not been successfully completed.
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Cloud Computing   Theory and Practice  Marinescu, Dan C pdf

Cloud Computing Theory and Practice Marinescu, Dan C pdf

John McCarthy was a visionary in computer science; in the early 1960s he formulated the idea that computation may be organized as a public utility, like water and electricity. In 1992 Gordon Bell was invited to and delivered an address at a conference on parallel computations with the provocative title Massively parallel computers: why not parallel computers for the masses? [45]; he argued that one-of-a- kind systems are not only expensive to build, but the cost of rewriting applications for them is prohibitive. Google Inc. was founded by Page and Brin, two graduate students in computer science at Stanford University; in 1998 the company was incorporated in California after receiving a contribution of $100, 000 from the co-founder and chief hardware designer of Sun Microsystems, Andy Bechtolsheim. Amazon EC2 was initially released as a limited public beta cloud computing service on August 25, 2006. The system was developed by a team from Cape Town, South Africa. In October 2008 Microsoft announced the Windows Azure platform; in June 2010 the platform became commercially available. iCloud, a cloud storage and cloud computing service from Apple Inc., stores content such as music, photos, calendars, and documents and allows users to access it from Apple devices. The system was announced on June 6, 2011. In 2012 the Oracle Cloud was announced (see www.oracle.com/us/ corporate/features/oracle-cloud/index.html )
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Cloud Computing Basics

Cloud Computing Basics

Abstract:- By using Internet technology cloud provides virtualized IT resources as a service. Cloud Computing is a combination of Grid computing and Cluster computing. By using the Internet a computer grid is created whose purpose is only utilizing shared resources such as on a pay- per-use model, computer software and hardware. The main moto of cloud computing is that you can access your data in any corner of the world by using internet. Cloud computing is a general term for delivering through the internet. Cloud computing is a virtualized computer power and storage delivered via platform-agnostic infrastructures of abstracted hardware and software access over internet. Cloud computing systems usually work on various models like public, private, hybrid, and community models.
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Architecting the Cloud   Design Decisions for Cloud Computing Service Models pdf

Architecting the Cloud Design Decisions for Cloud Computing Service Models pdf

The cloud is not only an enabler for enterprises but it is a great enabler for cyber-criminals as well for two reasons. First, cloud computing is still very immature and lacking standards at this time. There are not a lot of engineers with years of hands-on experience securing applications in the cloud. The end result is that many cloud services are being deployed by today’s corporations without the necessary security and controls and are very vulnerable to all kinds of attacks and breaches. The second reason why the cloud is an enabler for cyber-criminals is that the cloud vendors are a huge target because they house compute resources and data for a large number of companies. The cloud providers typically provide high levels of perimeter security, but it is up to the companies deploying their services to build the appropriate level of application security. For example, an Infrastructure as a Service (IaaS) cloud provider like Amazon Web Services (AWS) has world-class secure data centers, white papers on how to build highly secure services on its platform, and provides a suite of application programming interfaces (APIs), making it easier to design for security. However, it is up to the architects building the software on AWS to encrypt the data, manage the keys, implement good password policies, and so forth.
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Privacy and Security for Cloud Computing pdf

Privacy and Security for Cloud Computing pdf

Privacy laws vary according to jurisdiction, but EU countries generally only allow PII to be processed if the data subject is aware of the processing and its purpose, and place special[r]

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Apache CloudStack Cloud Computing [eBook] pdf

Apache CloudStack Cloud Computing [eBook] pdf

Thus providing Infrastructure as a Service essentially means that the cloud provider assembles the building blocks for providing these services, including the computing resources hardware, networking hardware and storage hardware. These resources are exposed to the consumers through a request management system which in turn is integrated with an automated provisioning layer. The cloud system also needs to meter and bill the customer on various chargeback models. The concept of virtualization enables the provider to leverage and pool resources in a multi-tenant model. Thus, the features provided by virtualization resource pooling, combined with modern clustering infrastructure, enable efficient use IT resources to provide high availability and scalability, increase agility, optimize utilization, and provide a multi-tenancy model.
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