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RISS 인기검색어
- 검색키워드
- 저자 : Pankaj Deep Kaur (검색결과 7 건)
- 무료
- 기관 내 무료
- 유료
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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.
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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.
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A Sensor Cloud Based Traffic Control System Using War State Battle Field
Kapil Kumar,Pankaj Deep Kaur 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.3
Congestion control is one of the most important factors in ensuring secure traffic. This paper is a study of Congestion Control in War State Battle Field using cloud sensor for collision detection and prevention. Cloud sensor uses common parameters such as total nodes, minimum speed, maximum speed, available mines (bombs), and distance variation to prevent collision of tanks on the battlefield. The main advantage of cloud sensors is that it allows easily gathering, accessing, processing, storing, sharing and searching for sensor data. Cloud sensors will be placed in a particular space that will notice the fastness and voice of siren at a specific threshold. Existing cloud based traffic control schemes are susceptible to various congestions such as upcoming vehicle control and priority vehicle control. The main reason for success of collision attack is the highest congestion reuse rate. This research based on congestion control in War State Battle Field. Battle Field is the basement of military action and is very substantial for officers to considerate and establishes the entire use of it in the conclusion- making. For evaluation of this approach, a scenario of battlefield has been considered in experimental analysis.The objective of this paper is to develop a new technique for avoiding the traffic collision in battlefield and to evaluate the proposed technique in the Java virtual environment.
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A Hybrid Approach for Encrypting Data on Cloud to prevent DoS Attacks
Navdeep Singh,Pankaj Deep Kaur 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3
Any technology cannot be said perfect until it is free from any vulnerability. So whenever a new technology is introduced the security is the first feature that is countable. There are many famous technologies that are used for online data storage, accessing the data from any location and provide the online use of any software. Cloud computing is the same technology that provides the online data storage and the most important feature that it provides software on lease facility. If large data storage feature took into consideration then it must be said that if a user wants to store the data on cloud then the security of that data must be the first requirement of the user. In this paper an integrated approach is introduced to encrypt and decrypt the data before sending on cloud by using the two different techniques. And the performance analysis is done on the basis of different parameters to achieve the better performance and security.
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Kapil Kumar,Pankaj Deep Kaur 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.8
War State Battle Field is the basement of the military action. Battle Field is very significant for commanders to considerate and make full use of it in decision-making. This is basically depend on the vehicular traffic control in war state battle field. In this the tanks represents a vechicle. A tanks traffic on war state battle field is a vital problem and is seemly a major pretend to conclusion makers. In this research paper we will try to bring the scenario of battle field arena where the traffic consists of the vehicles called tanks. So the main focus in this research is put on the collision detection of the tanks among each other using cloud sensor by controlling the congestion in the battlefield.
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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.
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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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