Cloud computing is a powerful computing technology, which render a flexible services at anywhere to the user. One of the major issue of cloud computing was scheduling. In this work, a bacterial foraging optimization algorithm with genetic algorithm (GABFO) was combined to find out trustworthy scheduling problems in cloud workflow. Generally job scheduling and resource allocation in cloud is a tedious optimization problem at the time of considering QoS requirements. Lot of existing works under scheduling only concentrates on cost optimization and deadline problems, and it ignores the importance of reliability, availability and robustness. The main subscription of my work is to state a new optimized approach to schedule the jobs efficiently and allocate the resources in a efficient manner by introducing GABFO algorithm. Experiments were done in PSO, Genetic, BFO and then Genetic and BFO was combined to generate a hybrid optimized result, and the work was compared with above mentioned algorithms. The algorithms were executed for 52 iterations and totally 10 runs are calculated. The size of the job as well as virtual machines was varied for each iteration to calculate performance variation. We considered the optimization parameter as time and cost, and throughput. The work is implemented in cloudsim to create a simulated cloud environment. Final result shows better performance and maximum resource utilization in GABFO when compared to PSO, GA, BFO.
Catalyzed with overwhelming web-enabled on-the-go shopping trends, the understanding of technology- centric behavior of consumers holistically is a key to success. In this work we argue that a right blend of block chain per view can enable a detailed understanding of customers and their motivations. Theconsumer behavior and pre cursors to their motivations are considered for Kingdom of Saudi Arabia (KSA). Although, KSA has the largest and fastest growing Information and Communication Technology (ICT) in the Middle East and the online shopping activities in KSA are increasing rapidly, it is still lagging behind the global development. The four factors – website design quality, perceived trust, perceived convenience and advertisings & promotions were selectedfrom the available literature. A
There have been remarkable advancements in the field of broadband wireless access (BFWA) technologies. These technologies operate in microwave frequencies where rain attenuation is the most important factor leading to signal impairments. The use of cell site diversity (CSD) can help in overcoming the signal fading. During the event of rain, when the signal level falls below a particular threshold, the subscriber station switches to another base station in the coverage area. The CSD gain bears strong correlation with the angular separation between the various base stations. This paper analyses the effects of CSD gain on angular separation.
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