Abstract-Fog computing aims at extending the Cloud by bringing computational power, storage and communication capabilities to the edge of the network, in support of the IoT. Segmentation, distribution and adaptive deployment of functionalities over the continuum from Things to Cloud are challenging tasks, due to the intrinsic heterogeneity, hierarchical structure and very large scale infrastructure they will have to exploit.In this paper we propose a simple, yet general, model to support the QoS-aware deployment of multi-component IoT applications over Fog infrastructures. The model describes operational systemic qualities of the available infrastructure (latency and bandwidth), interactions among software components and Things, and business policies. Algorithms to determine eligible deployment plans for an application over a Fog infrastructure are presented. A Java tool, FogTorch, based on the proposed model has been prototyped.

Summary Fog computing aims at extending the cloud towards the Internet of things so to achieve improved quality of service and to empower latency‐sensitive and bandwidth‐hungry applications. The fog calls for novel models and algorithms to distribute multiservice applications in such a way that data processing occurs wherever it is best placed, based on both functional and nonfunctional requirements. This survey reviews the existing methodologies to solve the application placement problem in the fog, while pursuing three main objectives. First, it offers a comprehensive overview on the currently employed algorithms, on the availability of open‐source prototypes and on the size of test use cases. Second, it classifies the literature based on the application and fog infrastructure characteristics that are captured by available models, with a focus on the considered constraints and the optimized metrics. Finally, it identifies some open challenges in application placement in the fog.

Deploying composite applications to Fog nodes in a QoS-and context-aware manner is challenging due to the heterogeneity and scale of Fog infrastructures. Application components must be provided with the software and hardware capabilities they need. Communication links that support interactions between components must meet certain QoS (latency and bandwidth). On the other hand, different Fog and Cloud nodes provide different software and hardware capabilities, and actual communication links support different QoS over time. In this paper we present a prototype (FogTorchΠ) capable of determining deployments of composite applications to Fog infrastructures, which fulfil software, hardware and QoS requirements. FogTorchΠ exploits Monte Carlo simulations to take into account possible variations of the QoS of communication links. It classifies eligible deployments both in terms of QoS-assurance and of Fog resource consumption. We illustrate the utility of FogTorchΠ over a motivating example where we compare different possible deployments for a smart agriculture application

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Ki67 and MIB1 monoclonal antibodies are directed against different epitopes of the same proliferation-related antigen. Whereas Ki67 works only on frozen sections, MIB1 may be used also on fixed sections. The authors immunostained a series of 40 breast carcinomas with MIB1 and Ki67 antibodies on serial frozen sections and on fixed material. The Ki67 labeling index (LI) was 12.9 +/- 8.9 and 12 (mean +/- SD and median, respectively). MIB1 LI was 21.2 +/- 11.9 and 19.5 on frozen sections and 24 +/- 15.2 and 21.5 on fixed sections (mean +/- SD and median, respectively). Ki67 LI and MIB1 LI on frozen and fixed sections were strictly correlated (P < .001). The results are in keeping with the reported coincidental nuclear staining pattern of Ki67 and MIB1, but the mean and median values of MIB1 LI are almost twice the values of Ki67 LI. The cut-off values to define high and low proliferative activity with the two antibodies are therefore different. The differences in immunolabeling may be due to better survival of the MIB1 epitope in freezing and acetone fixation or to differing accessibilities of the MIB1 and Ki67 epitopes during the cell cycle due to molecular conformational modifications. The MIB1 monoclonal antibody is a reasonable substitute for the Ki67 monoclonal antibody. The advantages of MIB1 immunostaining on paraffin sections include the feasibility of retrospective studies and of obtaining clear morphologic specimens that are optimal for use with computer-assisted image analysis systems. Our image-processing system allows automatic nuclear counting, detects positive nuclei and measures their staining intensity.

The purpose of this study was to present a new method for handling histological/cytological cases. Thanks to the introduction of information technology in pathology, including the amenities afforded by robotic microscopes and digital imaging, tissue slides can be represented and evaluated using digital techniques in order to construct virtual cases through completely automated procedures. A virtual case (VC) is composed of a collection of digital images representing a histological/cytological slide at all magnification levels together with all relevant clinical data. In the present study, we describe an automated system to manage robotic microscope and image acquisition for the proper construction of VCs. These can then be viewed on a computer by means of an interface ("user-friendly") that allows one to select the more appropriate fields and to examine them at different magnifications, rapidly going from panoramic views to high resolution and vice versa. In comparison with glass slides, VCs have several advantages arising from their digital nature and can be considered a common platform for a wide range of applications such as teleconsultation, education, research, and quality control and proficiency tests.

Twenty consecutive cases of melanocytic lesions were chosen from the archives of the archives of the institute of Anatomic Pathology at Santa Chiara Hospital, Trento. Representative images were acquired at a spatial resolution of 512 x 512 pixels, saved in IPEG format and delivered to the remote pathologist by multimedia internet electronic mail. Six cases were diagnosed as benign melanocytic lesions by the local pathologist. Of the 20 cases transmitted, each with an average of 5.3 images, the remote pathologist suggested a diagnosis of malignancy in nine cases while 10 cases were thought to be benign. In one case the images were not considered sufficient for diagnosis. Overall, the diagnostic agreement between local and remote pathologist was 79% (kappa = 0.58, P = 0.002). This preliminary study suggest that telepathology by internet electronic mail can be a valuable tool for remote consultation in dematopathology, as well as for other diagnostic fields where expert consultation is necessary.

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