Question

1 point Mobile Cloud Computing (MCC) is the combination of ___________, __________ and ___________ . (a) Grid Computing, Mobile Computing, Wireless Networks. (b) Cloud Computing, Mobile Computing, Wireless Networks (c) Cloud Computing, Mobile Computing, Wired Networks (d) Cloud Computing, Grid Computing, Wired Networks 1 point Mobile Cloud Computing confirms (a) Static provisioning of resources (b) Scalability (c) Multi-tenancy (d) Reduce battery lifetime quickly 1 point __________ has the task of selecting which parts of an app runs on mobile and cloud. (a) Solver (b) Synchronizer (c) Profiler (d) None of the above 1 point Mobile Cloud Computing challenges are (a) High bandwidth, Service availability, and Heterogeneity (b) Low bandwidth, Service availability, and Homogeneity (c) Low bandwidth, Service availability, and Heterogeneity (d) High bandwidth, Service availability, and Homogeneity 1 point Fog Computing has ________ probability to attack on data enrouter and required ________ number of server nodes than Cloud Computing. (a) Lower, Less (b) Lower, Large (c) Higher, Less (d) Higher, Large 1 point Statement 1: Fog computing enables some of transactions and resources at the edge of the cloud. Statement 2: Fog computing increases the need for bandwidth by sending every bit of information over cloud channels. (a) Statement 1 is True and Statement 2 is False (b) Statement 1 is False and Statement 2 is True (c) Both of the statements are True (d) Both of the statements are False 1 point Which of the following is/are the need(s) of Geospatial Cloud? (a) Sharing of geospatial data among organizations (b) Lack of GIS expertise in the organizations (c) Make GIS decision easily (d) None of the above 1 point In mobile cloud computing, code offloading _______ latency. (a) Increases (b) Decreases (c) Keeps same (d) None of these 1 point Offloading is beneficial when ________ amounts of computation are needed with relatively ______ amounts of communication. (a) Small, Large (b) Small, Small (c) Large, Small (d) Large, Large 1 point _________ reduces the overhead of resource management by using light-weight virtualizations. (a) Containers (b) Virtual machines (c) Both containers and virtual machines (d) Neither containers nor virtual machines

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