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Overview, Motivations and Frameworks
Published in F. Richard Yu, Tao Huang, Garima Ameta, Yunjie Liu, Integrated Networking, Caching, and Computing, 2018
F. Richard Yu, Tao Huang, Garima Ameta, Yunjie Liu
Also intended to solve the long‐latency problem of mobile cloud computing, cloudlet‐based mobile cloud computing is proposed [61]. Instead of utilizing the computation resource in a remote cloud, cloudlet‐based mobile cloud computing can reduce data transmission delay by deploying computing servers/clusters within one‐hop WiFi wireless access. However, there are two drawbacks associated with cloudlet based mobile cloud computing: First, cloudlet‐based mobile cloud computing can hardly guarantee pervasive service due to the limited coverage of the WiFi access network which is usually employed in indoor environments. Second, due to the constraints on infrastructure size, the servers of cloudlet‐based mobile cloud computing typically provide a small or medium amount of computation resources, which can hardly meet the computation requirement in the case of a large number of UE.
Peer and Service Discovery in Proximity Service
Published in Yufeng Wang, Athanasios V. Vasilakos, Qun Jin, Hongbo Zhu, Device-to-Device based Proximity Service, 2017
Yufeng Wang, Athanasios V. Vasilakos, Qun Jin, Hongbo Zhu
First the cloudlets concept is brought to the D2D framework: cloudlets are smaller clouds, which are powerful computers that usually serve nearby users and excel at offloading content and tasks from mobile devices. By analogy, with proximity-based services in the D2D framework, a mobile device can also share its resources and provide its services to other devices in its vicinity. By this, the mobile device sharing its resources will play the role of a mobile cloudlet providing software as a service, data as a service, and network as a service. This can be beneficial economically where UEs can lend their extra resources to other UEs that be charged for this. Normally, cloud services can be defined as: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Among all of these, researchers generally believe that only SaaS is applicable, and furthermore add Data as a Service (DaaS) and Network as a Service (NaaS), where in the latter the device may, for example, play the role of a hotspot (Wi-Fi Access Point) for other devices that do not have access to the Internet [23].
Cloud Computing: The Flexible Future
Published in Hrishikesh Venkatarman, Ramona Trestian, 5G Radio Access Networks: Centralized RAN, Cloud-RAN, and Virtualization of Small Cells, 2017
Joanna Kusznier, Xuan Thuy Dang, Manzoor Ahmed Khan
Results from long WAN distance between wireless clients and cloud computing platforms where services are hosted. Current wireless network architectures have identifiable bottlenecks, that is, wireless base stations, service gateways. Additional delays are caused by contention between an increasing number of mobile devices for limited bandwidths and mobile network capacities. One of the solutions proposed for WAN latency is cloudlet [24]. A cloudlet is a resource-rich computer or cluster of computers that is connected to the Internet and available in the vicinity of mobile devices. Virtual machines are created on cloudlet clusters to rapidly instantiate customized service software that is accessible by mobile devices over a local wireless network. This architecture reduces the distance from mobile client and cloud services. Using a cloudlet also simplifies the challenge of meeting the peak bandwidth demand of multiple users interactively generating and receiving media such as high-definition video and high-resolution images. Similar architecture for offloading to proximate clouds are proposed by MOMCC [25].
RTTSMCE: a response time aware task scheduling in multi-cloudlet environment
Published in International Journal of Computers and Applications, 2021
Somula Ramasubbareddy, R. Sasikala
The process of offloading application to remote cloud is explored in [21]. The method of migrating application among cloud servers illustrated in [19]. The energy-efficient method for scheduling Resources in cloud servers is described in [20]. the idea of offloading application to remote server causes delay due to the physical distances between the mobile device and remote cloud. In order to deal with these drawbacks, the cloudlet is introduced [11,12]. The cloudlet is also known as an edge server, Inter Mediate device between the mobile device and Remote cloud. Whenever a user wishes to offload application, then the nearest cloudlet receives it and then verifies it whether it is able to provide requested service resources. if not, the application is forwarded to another cloudlet.