The reduction of cost and global utilization of resources shows less wastage of computing power in the era of cloud computing. This field of cloud computing is more preferable now a days because of having most unique and distinct advantages viz. 24*7 on availability mode, no any extra hardware & software requirement and provides eco-friendly environment. In this research paper, authors proposed a new designed methodology "EMQJSA" which is termed as anEnhanced Multi-Queue Job Scheduling Algorithm whose main purpose is to balance the load among cloud nodes on cloud server by utilizing the concept of cloud job scheduling. The working of this new designed methodology is totally based on Fuzzy logic. The main reason to combine fuzzy logic with newly designed methodology is to achieve high rate of accuracy in terms of results when run cloud jobs on cloud servers.The different parameter considerations viz. waiting time, response time, execution time, trust, throughput and performance plays a vital role in this paper when implemented on newly designed methodology. The main motive of this new designed methodology is to improve the overall performance of the cloud server while performing a managed load balancing. In addition, the other benefit to design this enhanced multi-queue job scheduling algorithm is to provide a safe or secure communication between the cloud user and cloud server. By utilizing this new designed methodology load (cloud heavy jobs) can be easily managed and correspondingly cloud user saves time and the responsibility of cloud resource manager is also reduced or eliminated up to some extent which will ultimately improves the overall performance of the cloud server. Hence, this newly designed proposed methodology named enhanced multi-queue job scheduling algorithm in future will be helpful for producing more accurate and more efficient results.
This paper presents a new animal inspired methodology (AIM) named HRBAIM that is termed as human robotics based animal interaction method. Here, humans and robotics will perform a collaborative task by utilizing haptic technology and takes a joint action in our daily life works. This paper shows a pet dog can be handled or controlled by the machine robotics where robotics acts as a master for pet dog. The instructions are given to pet dog by his master who is robotics and the overall control is in the hand of human who is act as a Grand Master and robotics act as a slave for grand master (who is human). For providing continues surrounding interactions authors utilizes haptic technology. This collaboration/mutual-co-ordination of AIM (Animal Inspired Method) plays a vital role in daily life like during the absence of humans in their homes robotics will take care of their pet dogs. The other benefit to utilize this animal inspired methodology is to reduce the human burden, save energy, save time and most importantly transferring human responsibilities to the Robotics machines that ultimately provides a regular contact of humans with their pet dogs even in their absence. Hence, robotics easily handle problems occurs with pet dog artificially with a step closer to natural touch. In addition, this proposed methodology may also help to learn animals behavior to humans in intelligent manner..
:This paper discusses about the field of augmented reality which covers its wide area as an example applications based on AR and different types of technologies used in AR as like tracking technology, display technology and interaction technologies. This paper gives a new idea based on mobile AR (Augmented Reality) application that is named as MMABOAR (Mind Map App based on Augmented Reality) whose main purpose is read all mind vibrations or mind thoughts. The main motive to design such kind of app is to provide a way to communicate with mentally disabled persons and utilize their past experiences and knowledge in current running projects of research. By utilizing such kind of knowledge or intelligence they can also individually contribute for discovering new India. The working of this new designed mind app is based on the way of touching of that app icon. Once that disable person touch that particular app then it will sense or read(or record or save) the complete knowledge in your phone memory backup. And once the backup is created then you will use that past knowledge or experiences anywhere, anytime in future. This paper also discusses about some new techniques suited or uses by the developers in mobile AR. Hence, this new designed app may provide us a new type of learning platform (NTOLP) through mentally disabled persons or mentally retarded persons.Inshort, this mobile learning helps to create a real learning environment, which will greatly improve the efficiency or effectiveness of learning.
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