The issue of security has been dissected by previous researchers from different perspectives in the cloud computing services. The security issues to cloud computing Cloud computing are discussed by , the authors analysed various case studies of developers, cloud providers and customers in order to highlight the security issues. Another research showed some security related barriers in adoption of cloud computing such as instances of compromise on customers’ data, vulnerabilities, risks and impact on the business. Similar results were produced by many other studies [6, 7]. The security issue related to SLA were discussed by Balachnadra et al  with the objective of highlight security risks to the data stored in the servers, data recovery and data segregation. Kreimer et al  dissected the security issues such as risks to privacy of valuable or highly sensitive data, payment and integrity of data; and they described various standards for management of security issues: open virtualization format, ISO/IEC 27001 and ITIL. Some studies have described the security issues encountered by only the technical side of cloud computing such as attacks due to flooding issue, XLM based attacks [Kreimer et al., 2010]. Some research works highlighted security issues related to the cloud platform based services [18, 19]. Hashizume et al  discussed main vulnerabilities of the cloud computing services and grouped the threats. Subashini et al  analysed vulnerabilities to the SaaS model, and focussed only on the service delivery related security issues.
Cloud computing services are accelerated by the unprecedented amounts of data being generated by not only people but also machines and things. Cisco GCI  estimates that nearly 850 ZB will be generated by people, machines, and things by 2021, up from 220 ZB generated in 2016. It is clear that organizations are considering cloud-computing services for financial reasons, more flexibility and robust scalability to meet their dynamic business needs. The traditional way of buying servers, storage, network equipment and setting up infrastructure at your own datacenter may not be cost efficient and extremely difficult to afford for most of the start-up companies as well as the process of maintaining. Therefore, fast scaling resources available on-premise datacenters are quite challenging task. Cloud computing strongly helps under such circumstances; however, the process of choosing cloud provider, cloud model or the service model needs cau- tion and careful evaluation from different angles to avoid vendor’s lock-in, and make the transition process to competitor’s service easier; if decided to switch in future.
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Fast access to health data enables better healthcare service provisioning, improves quality of life, and helps saving life by assisting timely treatment in medical emergencies. Anywhere- anytime-accessible electronic healthcare systems play a vital role in our daily life. Services supported by mobile devices, such as home care and remote monitoring, enable patients to retain their living style and cause minimal interruption to their daily activities. In addition, it significantly reduces the hospital occupancy, allowing patients with higher need of in-hospital treatment to be admitted. While these e-healthcare systems are increasingly popular, a large amount of personal data for medical purpose are involved, and people start to realize that they would completely lose control over their personal information once it enters the cyberspace.
resources available over the internet, current cloud im- plementations do not allow kind of flexibility where user can enjoy facilities of all Providers. If a customer opts to use Amazon S3 storage service, he is then stuck with other cloud computing services Amazon provides, such as EC2, Elastic Map Reduce . Even though sincere cost for a cloud computing deployment gets compact and long term lease is eliminated, more attempt and money is spent on setting up the application for a precise cloud platform which makes it tricky to migrate the same ap- plication onto a different cloud. Often, application mi- gration simply may mean redevelopment. For example, applications deployed on Amazon EC2 cannot be mi- grated easily due its particular storage framework . Need of Effective Initial Investment
SMEs in India constitute about 35 million and the Indian market is therefore a huge market for cloud computing. The SMEs want east to use, reliable and scalable application that when used will help them to expand their businesses. Cloud computing is the solution. The vast presence of SMEs has made India the fastest growing SAAS market in Asia Pacific region. According to Jeremy Cooper, VP-Marketing (APAC), Salesforce.com 'software as a service' provider started its services in India in September 2005 and since then the adoption rate of cloud computing is increasing. The SAAS’ model success prompted IBM to launch its cloud computing centre in Bangalore in 2008. The centre proposes to cater to the increasing demand for web infrastructure sharing services. IBM further collaborated with IIT Kanpur and came up with some new developments in computing. Bharti Airtel has launched the cloud computing services with their Net Pc model. Other giant companies like Reliance Communications, TCS, HCL technologies, Wipro, Netmagic, Verizon, Novatium to name a few have also launched cloud computing services in India. Cloud computing globally and India is gaining mass popularity due to its cost effectiveness and efficient delivery models. This accounts for the large shift of ICT spending towards cloud computing. The global gloom has been the prime reason for businesses to keep an eye on their expenditures and the cloud has provided them with a solution. This has prodded India to deploy cloud computing as the preferred technology. Business Software Alliance (BSA), a global nonprofit IT alliance, ranks India 19th among 24 in its preparedness for cloud computing implementation. With an overall score of 50, India is ahead of BRIC nations, China (47.5) and Brazil (35.1), while it is ranked well below advanced economies like Japan (83.3), Australia (79.2) and the US (78.6). These 24 countries together account for 80 per cent of the global ICT market.
Both cloud computing and SOA share some core principles. First, both rely on the service concept to achieve the objectives. Service is a functionality or a fea- ture offered by one entity and used by another. For example, a service could be retrieving the details of the online bank account of a user. SOA and cloud computing use service delegation in that the required task is delegated either to service provider (in the case of cloud computing) or to other application or business components in the enterprise (in the case of SOA). Service delega- tion helps the people to use the services without being concerned about the implementation and maintenance details. Services could be shared by multi- ple applications and users, thereby achieving optimized resource utilization. Second, both cloud computing and SOA promote loose coupling among the components or services, which ensures the minimum dependencies among different parts of the system. This feature reduces the impact that any single change on one part of the system makes on the performance of the overall system. Loose coupling helps the implemented services to be separated and unaware of the underlying technology, topology, life cycle, and organiza- tion. The various formats and protocols used in distributed computing, such as XML, WSDL, Interface Description Language (IDL), and Common Data Representation (CDR), help to achieve the encapsulation of technology dif- ferences and heterogeneity among the various components used for combin- ing a business solution for solving the computing problems. Various services should be location and technology independent in cloud computing, and SOA can be used for achieving this transparency in the cloud domain.
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Academia is building its own clouds upon the current cyberinfrastructure they have. They are building cloud systems upon on their grid resources (like Teragrid) to resolve Grids limitations. The availability of these large, virtualized pools of compute resources raises the possibility of a new compute paradigm for scientific research with many advantages. For research groups, cloud computing provides convenient access to reliable, high performance clusters and storage, without the need to purchase and maintain sophisticated hardware. For developers, virtualization allows scientific codes to be optimized and pre- installed on machine images, facilitating control over the computational environment. 
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Mobile phone contraptions are commonly used in our step by step lives. Regardless, these devices show obstructions, for instance, short battery lifetime, confined computation control, little memory gauge and unordinary framework arrange. As such, different courses of action have been proposed to alleviate these obstructions and widen the battery lifetime with the usage of the offloading system. In this manuscript, a new framework is suggested to offload genuine count endeavors from the mobile phone to the cloud. This framework uses a headway model to choose the offloading decision logically subject to four essential parameters, to be explicit, essentialness use, CPU use, execution time, and memory use. Additionally, another security layer is given to guarantee the moved data in the cloud from any attack. The preliminary outcomes showed that the structure can pick a sensible offloading decision for different sorts of adaptable application assignments while achieving colossal execution improvement. Also, not exactly equivalent to past methodologies, the structure can shield application data from any peril.
B. Platform as a Service: Paas providers commonly provides a development and deployment environment that allow users to create and run their applications on cloud with little or no trouble to low-level details of the platform. It is the responsibility of the Paas service provider to offer scalability and to manage fault tolerance, while users are requested to focus on the logic of the application developed by the provider’s APIs, programming tools and libraries . Client design their applications and are not concerned with hardware that may be physical or virtual, server, storage, operating systems and other low-level services. The core middleware or hypervisor is in charge of managing the resources and scaling and descending applications on demand or automatically, according to the commitments made with users in SLA. This approach increases the level of abstraction at which cloud computing take advantage but also some restrictions for the user. The user works under a more controlled environment. PaaS providers usually support multiple programming languages in platforms include Python and Java (e.g., Google AppEngine), .NET languages (e.g., Microsoft Azure), and Ruby (e.g. Heroku), force.com or Saleforce.com has made its own programming language (Apex) and an Excel-like query language, which provide higher levels of abstraction to key platform functionalities . The most popular is Microsoft Windows Azure , which provides a comprehensive framework for building service-oriented cloud applications on top of the .NET technology, hosted on Microsoft’s data centers.
The cloud computing is naturally the complex infrastructure which makes the user organizations to avail the resources in convenient way. In this paper, general characteristics of cloud computing, data mining techniques and audit logs are discussed. Google cloud platform based audit logs are primarily consider for reviewing the data mining techniques applicable to mine the audit logs. The final outcome of this review states that audit logs are essential to monitor the administrative and user activities. Further, the data mining technique are used to prevent losses and helps to create the security, access policy.
In this paper, the main focus is centered on proposing an effective approach that combines both perspectives of cloud computing parties in an e-commerce environment. A proposed model has been developed for e-commerce as a prototype in hosted to cloud computing. Such a prototype is used to evaluate, test and validate the proposed model based on combining e-commerce to cloud computing. The developed prototype contains e-commerce consumer, service provider, and platform provider (using Microsoft Azure) while the developed website has supported man e-commerce services including orders, shopping, customers and payment services. Results and testing have validated the enhancement gained by e-commerce services while maintaining a cost-effective criteria due to the use of cloud computing.
DOI: 10.4236/jcc.2019.710003 23 Journal of Computer and Communications gaming portals, and enterprise applications have been deployed . CC has been used by millions of people in various manifestations, including free email services (e.g., Yahoo Mail and Gmail) and free office productivity applications (e.g., Google Apps). Businesses of all sizes, industries, and geographies are turn- ing to cloud services . It has been appreciated as a significant step after Grid computing . Instead of running the applications on a Personal computers or a Local Area Network, they run on a shared multi-tenant. More Businesses are running all kinds of applications in the cloud nowadays, like Customer Rela- tionship Management Software (CRM), accounting, human resources (HR), custom-built applications , and health care systems . It enables the users and consumers to integrate and combine many different services together that increase the creativity and productivity . From business perspective, CC is in essence an economic model for a different way to acquire and manage IT re- sources  and enables companies to adopt ready-to-use application services through a “pay-as-you go” model that saves cost, resources and time . CC has positive impact on the business organizations as it increases their revenue  and helps them to achieve the business goals    .
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Using high speed wireless LANs are low-cost though they have less range to cover . The utilization of bandwidth could be better by logging (big operations against small requests) and by compression of generated data in advance of the transmission. Security is the main issue for the mobile computing standards on the fleet. Security issues such as: confidentiality, integrity, availability, legitimacy, accountability, and encryption mechanisms are implemented into the network infrastructure. In  is a proposal combining security tactics and the addition of random delays in the encryption implementation flow and considering quantitative treatment of security problem. For quantifiable treatment of the trade-off issue, a hybrid Continuous-time Markov chain and queuing method is used for modelling the MCC system that handles security and performance attributes   . Security issues is a major focus of discussion in cloud computing. Such security issues indirectly affects MCC too, but from the short survey conducted in this paper, only 38% of the papers reviewed focus on MCC security.
Virtualization constitutes a unique aspect of cloud management and optimization. An emerging interesting field of study, virtualisation-as-a-Service was highlighted in . It was concluded by defining virtualization as the activity of substituting a physical resource with virtual (logical) resources, thereby reducing the amount of space required to store the resources.  mentioned that virtualization provides the platform and possibility for shareable and available-on-demand infrastructure.  opined that virtualisation enables the abstraction of computer resources thus enabling a single physical machine serve as multiple virtual machines.  contributed by stating that the current available virtualization technology and methodology offers the possibility to perform live migration i.e. migrating one virtual machine from one host to another without hampering its functions. Despite these contributions, only 25% of the core papers examined discussed the issue of cloud virtualization.
In this service model, the server provides client with computing infrastructure which includes resources such as network, operating server, and storage using the virtual technology concept. This service is highly scalable and uses automated computer resources. After getting provided with everything it may depend on the service provider, that they might be able to configure their networking but in more sophisticated and limited way. The biggest advantage is that the companies have the same capabilities and technologies as their traditional data centers only the difference is that now their data centers are now “virtual data centers” in the cloud environment .\
Due to the easy process of installation and simple work system, consumers of cloud figure out are increasing tremendously. The users’ quantity is directly proportional to the increased load on the resources. Every system has a performance index, which is in the cloud is mainly based on the users and the services provided by the cloud. When the number of clients is continuously increasingand the quantity of resources is limited than a situation came, which is shows a bad effect on system’s performance but in the cloud, there is a solution for such circumstances in the form of scalability, virtualization, and load collate. Scalability is a characteristic of cloud figure out and Virtualization and load Collate are the core concepts of Cloud Figure out.
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Innovations in IP (esp. Open Source) Systems Consistency models Integration of Mainframe and Large Systems Power-aware Profiling, Modeling, and Optimizations IT Service and Relationship Management Scalable Fault Resilience Techniques for Large Computing New and Innovative Pedagogical Approaches Data grid & Semantic web Peer to peer computing Autonomic Computing Scalable Scheduling on Heterogeneous Architectures Hardware as a Service (HaaS) Utility computing Novel Programming Models for Large Computing Fault tolerance and reliability Optimal deployment configuration Load balancing Web services Auditing, monitoring and scheduling Software as a Service (SaaS) Security and Risk Virtualization technologies High-performance computing Cloud-based Services and Education Middleware frameworks Cloud /Grid architecture
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Abstract: Cloud computing and Internet of Things (IoT) are two very different technologies that are both already part of the various industries. Their support and use are expected to be more and more common, making them important peripheral of the Future Internet. In this paper, we'll focus our attention on the integration of Cloud and IoT, specifically the services, which is what we call the Cloud IoT archetype. These Cloud IOT services are the most important notions of Future Internet for providing a common global IT Platform to combine seamless networks and networked things. Cloud Computing in IoT provides beckoned solution for processing huge data streams and computations while facing the challenges of everything that will be connected with seamless networks in the future. The research below has showcased some manufacturing organizations who are using IoT Platforms & Services integrated with Cloud services for ease of their workflow in the field of production.
technological: while there are large online libraries of copyright-free material, it would be ruinously expensive to pay for a license for a full copy of every single commercial (in-copyright) e-book, for every single potential reader. But if the reader-devices could be programmed to monitor how many pages of the book have been accessed, and charged on a per-page-viewed basis, the economics could be workable. If the library’s reader devices are capable not only of displaying books, but also of playing back digital audio and digital video, then the library service could also provide access to videos of tutorials and lectures made available on YouTube or via Apple’s iTunes service: in June 2010, the UK’s Open University reported that it was the first content- provider to have served 20 million downloads on iTunes. It did this via the successful dedicated educational area on iTunes, called iTunesU, where several world-leading universities (including top American universities Berkeley, Harvard, MIT, Stanford, and Yale) provide educational audio, video, and text content for free. For further discussion of these issues, see Charles Leadbetter’s report for Counterpoint, “Cloud Culture: the Future of Global Cultural Relations". 22
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This paper introduces a novel IMC architecture with detailed system implementations. The architecture ab- stracts instruments and sensors into resources, and en- capsulates frequently used modules and functions into services. Services are deployed in the cloud and users can consume these services on demand. IM applications are also deployed and run in the IMC platform. All IT re- sources are allocated and managed by the IAAS (Infra- structure as A Service) cloud platform, which will reduce investments for users and also increase resource utiliza- tion efficiency. By integrating cloud computing and big data processing technologies, IMC can benefit a lot from advantages such as system scalability, fault tolerance, distributed and parallel computing, and so on. An actual system based on this architecture is implemented using various cloud computing and big data processing frame- works. Applications and experiments are designed to test the system. Results show that the IMC architecture de- signed in this paper can properly integrate cloud compu- ting with IM technologies and greatly facilitate building, managing and using IM systems.
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