China
Africa
Explore chapters and articles related to this topic
Benefits and Risks of Cloud Computing
Published in Uzzal Sharma, Parmanand Astya, Anupam Baliyan, Salah-ddine Krit, Vishal Jain, Mohammad Zubair Khan, Advancing Computational Intelligence Techniques for Security Systems Design, 2023
Osheen Oberoi, Sahil Raj, Viput Ongsakul, Vishal Goyal
IaaS delivers the required infrastructure to its clients, including storage, processing, servers, network resources, and operating systems via virtualization technology [17]. The client can deploy and execute arbitrary software by using this service model. The user does not have to purchase the required servers, data center, or network resources; rather, the user has to pay for the duration they have used the service. The service provider provides virtual servers with unique IP addresses [18]. The users availing of the IaaS service are given complete control over the whole infrastructure. Clients use the application programming interface (API) to control the servers. Amazon Web Services is one of the largest IaaS provider companies that provide Elastic Compute Cloud (EC2) services like virtual machines for processing [19].
Role of IoT, AI, and Big Data Analytics in Healthcare Industry
Published in Pushpa Singh, Divya Mishra, Kirti Seth, Transformation in Healthcare with Emerging Technologies, 2022
P. Sriramalakshmi, Srimathnath Thejasvi Vondivillu, A. Sri Krishna Govind
This is the fundamental building block of the three cloud computing models. Here, the rented services (physical or virtual servers, storages, and networking) attract companies wanting to start from the ground up.52 Companies can avoid purchasing expensive servers and software and instead purchase resources on an on-demand basis. In addition, IaaS can help in cases of disaster recovery, business continuity, rapid ideation and development, improve stability, reliability, supportability, and security.68 Examples of IaaS systems include Microsoft Azure, and IBM cloud; in the field of healthcare industry it can manage availability of resources, improve security of sensitive data, and scale infrastructure depending on the throughput of data.60,69
Need for Lightweight Attribute-Based Encryption (ABE) for Cloud-Based IoT
Published in Amit Kumar Tyagi, Niladhuri Sreenath, Handbook of Research of Internet of Things and Cyber-Physical Systems, 2022
Keerti Naregal, Vijay H. Kalmani
As part of IaaS, when users/companies migrate to cloud they can store data in databases, files, etc., which in turn can be accessed anywhere, anytime. The major benefits of IaaS system are that it provides ‘pay as you use’ features and provides scalability, i.e., computing resources like storage, etc., can be increased based on the requirements. There are various cloud deployment models which are used. Private cloud refers to a cloud deployed on private networks, it is usually owned by organizations and used for their own applications. A public cloud makes use of the internet, the data centers could be owned by third party. In Hybrid cloud which is a blend on private and public, sensitive data could be stored on the private cloud and remaining could be sent on the public.
Multi-Objective Load Balancing in Cloud Computing: A Meta-Heuristic Approach
Published in Cybernetics and Systems, 2022
Kethineni Vinod Kumar, A. Rajesh
IaaS (Infrastructure as a Service) is indeed a technological approach for managing servers, server farms, and virtual machines (VMs). IaaS (Infrastructure as a Service) is a cloud service that offers a cloud computer or server for data storage and processing. On a leased server, users may execute whatever operating software or process without having to worry about hardware upkeep or operation. IaaS has yet another advantage, which is that it gives the customer access to the server in neighboring places because the cloud architecture is operated on VMs. QoS and Service Level Agreements are terms used to describe how a service is tailored to the demands of its users. The contract between the client as well as the CSPs (Panda, Gupta, and Jana 2019) governs how much the consumers pay for the service. Furthermore, Cloud technology enables CSPs to give significant computational capabilities to datacentres to assist consumers seeking cloud-based services. A virtual machine (VM) uses the host system’s capabilities, such as RAM, hard drive space, and CPU. The retrieved resource requires the capabilities of the VM to function. As a consequence, the cloud network’s allocation of resources becomes uneven, and certain VMs would be unable to gain access to the data they demand since many virtual machines have both proactive and non-preemptive access to resources (Lavanya, Shanthi, and Saravanan 2020).
Big Earth data: disruptive changes in Earth observation data management and analysis?
Published in International Journal of Digital Earth, 2020
Martin Sudmanns, Dirk Tiede, Stefan Lang, Helena Bergstedt, Georg Trost, Hannah Augustin, Andrea Baraldi, Thomas Blaschke
The backbone of big Earth data analytics is some type of distributed computing platform (e.g. clouds). Cloud computing services are broadly categorised into four types: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) and Data as a Service (DaaS) (Yang et al. 2011). IaaS provides virtualised computing resources over the internet that can be used for storage, backup or big data analytics, with a pay-as-you-go structure. PaaS provides the hardware and software tools over the internet needed for applications development, testing and delivering. Microsoft Azure and Google App Engine are some of the most popular PaaS. SaaS is often referred to as ‘on-demand-software’, where cloud providers deliver software applications over the Internet, usually on a subscription basis. Common examples of SaaS include the ArcGIS Online (ESRI) cloud implementation, Microsoft Office or Google Gmail and apps. DaaS provides access to data discovery, access, and utilisation, including the software needed to interpret the data (Olson 2009; Yang et al. 2011).
The internet of things for smart manufacturing: A review
Published in IISE Transactions, 2019
Hui Yang, Soundar Kumara, Satish T.S. Bukkapatnam, Fugee Tsung
Cloud computing: Cloud computing provides internet-based computing services, including data storage, data management, KPI computation, data visualization and data analytics amongst others. There are three broad categories of cloud computing services, i.e., Infrastructure as a Service (IaaS) (Manvi and Krishna Shyam, 2014), Platform as a Service (PaaS) (Ferrer et al., 2016), and Software as a Service (SaaS) (Amiri, 2016). IaaS refers to cloud-based services of IT infrastructure such as operating systems, virtual machines, networks, and storage. PaaS provides an environment to develop, test, deploy, and manage IoT software applications. SaaS delivers the services of software applications over the cloud. Cloud computing allows IoT systems to gain ubiquitous access to shared computing and storage resources, thereby overcoming the disadvantage of limited computing resources and storage capability in the “Things.” In addition, the integration of cloud computing with IoT offers services such as machine learning and data analytics over the Internet, supporting intelligence and decision making in different contexts.