Current Issue : April - June Volume : 2020 Issue Number : 2 Articles : 5 Articles
Considering the widespread use of mobile devices and the increased performance requirements of mobile users, shifting the complex\ncomputing and storage requirements of mobile terminals to the cloud is an effective way to solve the limitation of mobile terminals,\nwhich has led to the rapid development of mobile cloud computing. How to reduce and balance the energy consumption of mobile\nterminals and clouds in data transmission, as well as improve energy efficiency and user experience, is one of the problems that green\ncloud computing needs to solve. This paper focuses on energy optimization in the data transmission process of mobile cloud\ncomputing. Considering that the data generation rate is variable, because of the instability of the wireless connection, combined with\nthe transmission delay requirement, a strategy based on the optimal stopping theory to minimize the average transmission energy of\nthe unit data is proposed. By constructing a data transmission queue model with multiple applications, an admission rule that is\nsuperior to the top candidates is proposed by using secretary problem of selecting candidates with the lowest average absolute\nranking. Then, it is proved that the rule has the best candidate. Finally, experimental results show that the proposed optimization\nstrategy has lower average energy per unit of data, higher energy efficiency, and better average scheduling period....
Previous studies have introduced different potential pricing strategies for cloud services.\nHowever, not much research has been done comparing subscription pricing and pay-per-use pricing,\nwhich are commonly used pricing schemes. Also, there are very few studies which analyze a two-part\ntariff pricing scheme for cloud services, even though this option may increasingly attract service\nproviders as the cloud market becomes more competitive and the profit margin grows narrower.\nPrevious research has focused on firmsâ?? profitability rather than social welfare due to the limitations\nof free services. This study uses theoretical and numerical analysis to compare the social welfare and\nprofitability of three pricing schemes commonly used by firms: subscription pricing, pay-per-use\npricing, and two-part tariff pricing. It shows that the pay-per-use pricing is the best solution from the\nperspective of social welfare, which contrasts with the conclusion of a previous study stating that\nsocial welfare is maximized under a two-part tariff. This paper also shows that the two-part tariff is\nthe most profitable pricing scheme for firms....
Emerging cloud computing has introduced new platforms for developing enterprise\nacademic web applications, where software, platforms and infrastructures\nare published to the globe as services. Software developers can\nbuild their systems by multiple invocations of these services. This research is\ndevoted to investigating the management and data flow control over enterprise\nacademic web applications where web services and developed academic\nweb application are constructing infrastructure-networking scheme at the\napplication level. Academic web services are invoked over http port and using\nREST based protocol; thus traditional access control method is not enough to\ncontrol the follow of data using host and port information. The new cloud\nbased access control rules proposed here are to be designed and implemented\nto work at this level. The new proposed access control architecture will be a\nweb service gateway, and it published itself as a service (SaaS). We used three\ncase studies to test our moodle and then we apply JSON parsers to perceive\nweb service description file (WSDL file) and supply policies according to data\nare to be allowed or denied based on user roll through our parsing....
Edge computing is a distributed computing paradigm that encompasses data computing\nand storage and is performed close to the user, efficiently guaranteeing faster response time.\nThis paradigm plays a pivotal role in the world of the Internet of Things (IoT). Moreover, the concept\nof the distributed edge cloud raises several interesting open issues, e.g., failure recovery and security.\nIn this paper, we propose a system composed of edge nodes and multiple cloud instances, as well\nas a voting mechanism. The multi-cloud environment aims to perform centralized computations,\nand edge nodes behave as a middle layer between edge devices and the cloud. Moreover, we present\na voting mechanism that leverages the edge network to validate the performed computation that\noccurred in the centralized environment....
Sensor-clouds are a combination of wireless sensor networks (WSNs) and cloud computing.\nThe emergence of sensor-clouds has greatly enhanced the computing power and storage capacity\nof traditional WSNs via exploiting the advantages of cloud computing in resource utilization.\nHowever, there are still many problems to be solved in sensor-clouds, such as the limitations of\nWSNs in terms of communication and energy, the high latency, and the security and privacy issues\ndue to applying a cloud platform as the data processing and control center. In recent years, mobile\nedge computing has received increasing attention from industry and academia. The core of mobile\nedge computing is to migrate some or all of the computing tasks of the original cloud computing\ncenter to the vicinity of the data source, which gives mobile edge computing great potential in\nsolving the shortcomings of sensor-clouds. In this paper, the latest research status of sensor-clouds\nis briefly analyzed and the characteristics of the existing sensor-clouds are summarized. After that\nwe discuss the issues of sensor-clouds and propose some applications, especially a trust evaluation\nmechanism and trustworthy data collection which use mobile edge computing to solve the problems\nin sensor-clouds. Finally, we discuss research challenges and future research directions in leveraging\nmobile edge computing for sensor-clouds....
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