RISS 검색 - 국내학술지논문

1
Efficient and Enhanced Load Balancing Algorithms in Cloud Computing

Prabhjot Kaur,Dr. Pankaj Deep Kaur 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.2
A cloud computing is a new paradigm that enables users to access applications, infrastructures and service resources by using thin clients at anytime and anywhere. Through this paradigm users can set up the required resources and they have to pay only for the required resources. Due to rapid growth of the demand for computational power by web, scientific and business applications which led to the creation of large-scale data centers that consuming enormous amounts of electrical power. Thus, in the future providing a mechanism for efficient resource management will be an important objective of Cloud computing. In this we propose a method that allocate resources based on the load of Virtual Machines (VMs). To solving the problem of VM resource scheduling in a cloud computing environment, a load predictor is used to predict the load on each node, according to the this, it allocate the resources.
2
Computational Offloading for Mashup Services in Mobile Cloud Computing Environment

Kuljeet Kaur,Dr. Pankaj deep Kaur 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
The cloud system is considered as the hub of hosted services in which a particular user can access the cloud system remotely by using applications or by using the browsers. Compared to desktop devices, mobile device have inherent constraints such as limited processing power, memory, and battery capacity. With the propagation of mobile cloud applications, researches are looking for new solutions to address these limitations. One of the major solution is mobile cloud computing, which uses cloud infrastructure to enhance the capabilities of mobile device. This paper focuses on an emerging technology known as mobile offloading and mashup. The offloading uses the quality of services concept to remove mobile application limitations. Cloud services are the application programming platform where users can create new applications and mashup their functionalities. The paper describes the quality of services parameters used for offloading in mobile applications and also describes the existing approaches for mobile cloud computing.
3
Road Traffic Control System in Cloud Computing : A Review

Kapil Kumar,Dr. Pankaj Deep Kaur 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
Road traffic on public roads around the world is a vital problem and is seemly a major pretend to conclusion makers. Urban region have a great stack of traffic jams. Many superimposed concepts of road traffic Gas lit, Wireless sensor networks have appeared in the past few years. The living methods for traffic management are not effective. At that place require for a hefty and scalable high-execution computing. Cloud computing is turning a good engineering to provide a potent and scalable computing at low cost. Therefore Sensor-Cloud is seemly popular in recent years. This paper attempts to review these concepts and discusses their ending alignment with other phase of networks like Sensor-cloud network. The key obstructions to the successful acceptance of Sensor-could have been distinguished and directions for the existing and finally the conclusion have been discussed.
4
Genetic Based Qos Task Scheduling In Cloud -Upgrade Genetic Algorithm

Ashima Mittal,Dr. Pankaj Deep Kaur 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.4
Cloud computing has been emerged as a new service model in computing world and giving lot of interest to the researchers to find its benefits. Task scheduling is a major conflict in cloud environment and genetic algorithms are one of the optimization techniques to solve that problem. Virtual machine’s processing elements are important criteria to solve a scheduling problem. In proposed algorithm called upgraded Genetic algorithm, initial population is sorted according to the number of processing elements of each virtual machines. Proposed algorithm is compared with MGA in terms of cost and with MACO in terms of make span. Experiment results shows upgrade genetic algorithm gives better efficiency in term of cost and make span.

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