CLOUD Act - Wikipedia

 

wikipedia mobile cloud computing

Mobile cloud storage is a form of cloud storage that is accessible on mobile devices such as laptops, tablets, and alicebooks.gq cloud storage providers offer services that allow the user to create and organize files, folders, music, and photos, similar to other cloud computing models. Mobile Cloud Computing (MCC) is the combination of cloud computing, mobile computing and wireless networks 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. Cloud architecture is the systems architecture of the software systems involved in the delivery of cloud computing (e.g. hardware, software) as designed by a cloud architect who typically works for a cloud alicebooks.gq typically involves multiple cloud components communicating with each other over application programming interfaces (usually web services).


Mobile edge computing - Wikipedia


Edge computing is a wikipedia mobile cloud computing computing paradigm which brings computation and data storage closer to the location where it is needed, to improve response wikipedia mobile cloud computing and save bandwidth. The increase of IoT devices at the edge of the network is producing a massive amount of data to be computed to data centerspushing network bandwidth requirements to the limit. Despite the improvements of network technology, data centers cannot guarantee acceptable wikipedia mobile cloud computing rates and response times, which could be a critical requirement for many applications.

In a similar way, the aim of Edge Computing is to move the computation away from data centers towards the edge of the network, exploiting smart objectsmobile phones or network gateways to perform tasks and provide services on behalf of the cloud. By moving services to the edge, it is possible to provide content cachingservice delivery, storage and IoT management, resulting in better response times and transfer rates. At the same time, distributing the logic in different network nodes introduces new issues and challenges.

The distributed nature of this paradigm introduces a shift in security schemes used in cloud computing. Not only data should be encrypted, but different encryption mechanism should be adopted, since data may transit between different distributed nodes connected through the internet before eventually reaching the cloud.

Edge nodes may also be resource constrained devices, limiting the choice in terms of security methods. Moreover a shift from centralized top-down infrastructure to a decentralized trust model is required. Scalability in a distributed network must face different issues. First, it must take into account the heterogeneity of the devices, having different performance and energy constraints, the highly dynamic condition and the reliability of the connections, wikipedia mobile cloud computing, compared to more robust infrastructure of cloud data centers, wikipedia mobile cloud computing.

Moreover, security requirements introduce further latency in the communication between nodes, which may slow down the scaling process. Management of failovers is crucial in order to maintain a service alive. If a single node goes down and is unreachable, users should still be able to access a service without interruptions. Moreover, edge computing systems must provide actions to recover from a failure and alerting the user about the incident.

To this aim, each device must maintain the network topology of the entire distributed system, so that detection of errors and recovery become easily applicable. Other factors that may influence this aspect are the connection technology in use, which may provide different levels of reliability, and the accuracy of the data produced at the edge that could be unreliable due to particular environment conditions. Edge application services reduce the volumes of data that must be moved, the consequent traffic, and the distance that data must travel.

That provides lower latency and reduces transmission costs. Computation offloading for real-time applications, such as facial recognition algorithms, showed considerable improvements in response times as demonstrated in early research.

On the other hand, offloading every task may result in a slowdown due to transfer times between device and nodes, so depending on the workload an optimal configuration can be defined. Another vision of the architecture is to give a re-birth for cloud gaming where the game simulations are run in the cloud and the rendered video is transferred to lightweight clients such as mobile, VR glasses, etc.

Such type of streaming is also known as pixel streaming. Edge nodes when used for game streaming, are known as Gamelets, [6] which are usually one or two hops away from the client, wikipedia mobile cloud computing. Other notable applications include connectedautonomous cars.

The State of the Edge report [14] concentrates on servers "in close proximity to the last mile network. It also states, "Gamelet system is basically a distributed micro-cloud system in which the computationally intensive tasks such as game simulation and rendering are offloaded to a Gamelet node that is few hops most of the time one or two hops away from the mobile client".

Philip Laidler believes "edge compute includes workloads running on customer premises. Another, more inclusive way to define "edge computing" is to include any type of computer program delivers low latency nearer to the requests, wikipedia mobile cloud computing. From Wikipedia mobile cloud computing, the free encyclopedia.

Retrieved November Retrieved 4 July ACM: 29— Google Stadia Webpage. Hao January Retrieved 5 July Embedded systems. Lightweight browsers Open-source computing hardware Open-source robotics. Ambient intelligence. Categories : Post-cloud computing architecture Distributed computing architecture Load balancing Network performance Networking hardware Internet of things Ambient intelligence, wikipedia mobile cloud computing.

Namespaces Article Talk. Views Read Edit View history. By using this site, you agree to the Terms of Use and Privacy Policy.

 

Mobile cloud storage - Wikipedia

 

wikipedia mobile cloud computing

 

Cloud computing architecture refers to the components and subcomponents required for cloud alicebooks.gq components typically consist of a front end platform (fat client, thin client, mobile device), back end platforms (servers, storage), a cloud based delivery, and a . Mobile cloud storage is a form of cloud storage that is accessible on mobile devices such as laptops, tablets, and alicebooks.gq cloud storage providers offer services that allow the user to create and organize files, folders, music, and photos, similar to other cloud computing models. Mobile Cloud Computing (MCC) is the combination of cloud computing, mobile computing and wireless networks 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.