In telecommunication, provisioning involves the process of preparing and equipping a network to allow it to provide new services to its users. In National Security/Emergency Preparedness telecommunications services, "provisioning" equates to "initiation" and includes altering the state of an existing priority service or capability.
Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system with non-interactive workloads that involve many files. Grid computing is distinguished from conventional high-performance computing systems such as cluster computing in that grid computers have each node set to perform a different task/application. Grid computers also tend to be more heterogeneous and geographically dispersed than cluster computers. Although a single grid can be dedicated to a particular application, commonly a grid is used for a variety of purposes. Grids are often constructed with general-purpose grid middleware software libraries. Grid sizes can be quite large.
In system administration, orchestration is the automated configuring, coordinating, and managing of computer systems and software.
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This is expected to improve response times and save bandwidth. Edge computing is an architecture rather than a specific technology, and a topology- and location-sensitive form of distributed computing.
Vehicular ad hoc networks (VANETs) are created by applying the principles of mobile ad hoc networks (MANETs) – the spontaneous creation of a wireless network of mobile devices – to the domain of vehicles. VANETs were first mentioned and introduced in 2001 under "car-to-car ad-hoc mobile communication and networking" applications, where networks can be formed and information can be relayed among cars. It was shown that vehicle-to-vehicle and vehicle-to-roadside communications architectures will co-exist in VANETs to provide road safety, navigation, and other roadside services. VANETs are a key part of the intelligent transportation systems (ITS) framework. Sometimes, VANETs are referred as Intelligent Transportation Networks. They are understood as having evolved into a broader "Internet of vehicles". which itself is expected to ultimately evolve into an "Internet of autonomous vehicles".
Platform as a service (PaaS) or application platform as a service (aPaaS) or platform-based service is a category of cloud computing services that allows customers to provision, instantiate, run, and manage a modular bundle comprising a computing platform and one or more applications, without the complexity of building and maintaining the infrastructure typically associated with developing and launching the application(s), and to allow developers to create, develop, and package such software bundles.
Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each of which is a data center. Cloud computing relies on sharing of resources to achieve coherence and typically uses a pay-as-you-go model, which can help in reducing capital expenses but may also lead to unexpected operating expenses for users.
Ignacio Martín Llorente is an entrepreneur, researcher and educator in the field of cloud and distributed computing. He is the director of OpenNebula, a visiting scholar at Harvard University and a full professor at Complutense University. Dr. Llorente is a IEEE Senior Member. He holds a Ph.D in Computer Science from UCM and an Executive MBA from IE Business School.
Mobile Cloud Computing (MCC) is the combination of cloud computing and mobile computing to bring rich computational resources to mobile users, network operators, as well as cloud computing providers. The ultimate goal of MCC is to enable execution of rich mobile applications on a plethora of mobile devices, with a rich user experience. MCC provides business opportunities for mobile network operators as well as cloud providers. More comprehensively, MCC can be defined as "a rich mobile computing technology that leverages unified elastic resources of varied clouds and network technologies toward unrestricted functionality, storage, and mobility to serve a multitude of mobile devices anywhere, anytime through the channel of Ethernet or Internet regardless of heterogeneous environments and platforms based on the pay-as-you-use principle."
Software-defined networking (SDN) technology is an approach to network management that enables dynamic, programmatically efficient network configuration in order to improve network performance and monitoring, in a manner more akin to cloud computing than to traditional network management. SDN is meant to address the static architecture of traditional networks and may be employed to centralize network intelligence in one network component by disassociating the forwarding process of network packets from the routing process. The control plane consists of one or more controllers, which are considered the brain of the SDN network, where the whole intelligence is incorporated. However, centralization has certain drawbacks related to security, scalability and elasticity.
An Internet area network (IAN) is a concept for a communications network that connects voice and data endpoints within a cloud environment over IP, replacing an existing local area network (LAN), wide area network (WAN) or the public switched telephone network (PSTN).
In distributed system and system resource, elasticity is defined as "the degree to which a system is able to adapt to workload changes by provisioning and de-provisioning resources in an autonomic manner, such that at each point in time the available resources match the current demand as closely as possible". Elasticity is a defining characteristic that differentiates cloud computing from previously proposed computing paradigms, such as grid computing. The dynamic adaptation of capacity, e.g., by altering the use of computing resources, to meet a varying workload is called "elastic computing".
CELAR was a research project which successfully developed an open source set of tools designed to provide automatic, multi-grained resource allocation for cloud applications. In this way CELAR developed a solution that competes directly with Ubuntu Juju (software), Openstack Heat and Amazon Web Services. CELAR was developed with funding from the European Commission under the Seventh Framework Programme for Research and Technological Development, sometimes abbreviated to FP7.
PaaSage is a project partially funded by the Seventh Framework Programme for Research and Technological Development, sometimes abbreviated to FP7. PaaSage is a European Union funded research project involving partners such as ERCIM, SINTEF, STFC, University of Stuttgart, INRIA, CETIC, FORTH, BE.WAN, EVRY, Sysfera, Flexiant, Lufthansa Systems, GWDG, ASCS, University of Ulm, University of Oslo, AGH, IBSAC and University of Cyprus that aims at creating a development and deployment platform together with an appropriate methodology for helping software engineers creating new applications and migrating old applications that can run on multiple Cloud platforms. PaaSage is a notable example of European research efforts in the field of Infrastructure as a Service (IaaS).
Archistar is a software framework to build distributed storage system on the basis of secure fragmentation and information dispersal. It is dedicated to the development of a secure distributed storage architecture for trustworthy cloud usage. The Archistar framework combines methods from Byzantine fault tolerance, secret sharing, and additional tools from cloud cryptography to achieve its goal and parts of it are released as open-source software. A non-functional goal is to provide a base framework for further research into this topic: to achieve this, focus has been set on readability and open-source licenses have been used for all prototype code.
Cloud Infrastructure Management Interface (CIMI) is an open standard API specification for managing cloud infrastructure.
Cloud computing has become a social phenomenon used by most people every day. As with every important social phenomenon there are issues that limit its widespread adoption. In the present scenario, cloud computing is seen as a fast developing area that can instantly supply extensible services by using internet with the help of hardware and software virtualization. The biggest advantage of cloud computing is flexible lease and release of resources as per the requirement of the user. Other benefits encompass betterment in efficiency, compensating the costs in operations. It curtails down the high prices of hardware and software Although, there are numerous benefits of adopting the latest cloud technology still there are privacy issues involved in cloud computing because in the cloud at any time the data can outbreak the service provider and the information is deleted purposely. There are security issues of various kinds related to cloud computing falling into two broader categories: First, the issues related to the cloud security that the cloud providers face. Secondly, the issues related to the cloud security that the customers experience
Cloud management is the management of cloud computing products and services.
Cloud robotics is a field of robotics that attempts to invoke cloud technologies such as cloud computing, cloud storage, and other Internet technologies centered on the benefits of converged infrastructure and shared services for robotics. When connected to the cloud, robots can benefit from the powerful computation, storage, and communication resources of modern data center in the cloud, which can process and share information from various robots or agent. Humans can also delegate tasks to robots remotely through networks. Cloud computing technologies enable robot systems to be endowed with powerful capability whilst reducing costs through cloud technologies. Thus, it is possible to build lightweight, low-cost, smarter robots with an intelligent "brain" in the cloud. The "brain" consists of data center, knowledge base, task planners, deep learning, information processing, environment models, communication support, etc.
A cloudlet is a mobility-enhanced small-scale cloud datacenter that is located at the edge of the Internet. The main purpose of the cloudlet is supporting resource-intensive and interactive mobile applications by providing powerful computing resources to mobile devices with lower latency. It is a new architectural element that extends today's cloud computing infrastructure. It represents the middle tier of a 3-tier hierarchy: mobile device - cloudlet - cloud. A cloudlet can be viewed as a data center in a box whose goal is to bring the cloud closer. The cloudlet term was first coined by M. Satyanarayanan, Victor Bahl, Ramón Cáceres, and Nigel Davies, and a prototype implementation is developed by Carnegie Mellon University as a research project. The concept of cloudlet is also known as follow me cloud, and mobile micro-cloud.
