Download SLA-Based Resource Scheduling for Big Data Analytics as a Service in Cloud Computing Environments complete Project Report.
SLA-Based Resource Scheduling for Big Data Analytics as a Service in Cloud Computing Environments complete Project Report – PDF Free Download
Data analytics plays a significant role in gaining insight of big data that can benefit in decision making and problem solving for various application domains such as science, engineering , and commerce. Cloud computing is a suitable platform for Big Data Analytic Applications (BDAAs) that can greatly reduce application cost by elastically provisioning resources based on user requirements and in a pay as you go model. BDAAs are typically catered for specific domains and are usually expensive. Moreover, it is difficult to provision resources for BDAAs with fluctuating resource requirements and reduce the resource cost. As a result, BDAAs are mostly used by large enterprises. Therefore, it is necessary to have a general Analytics as a Service (AaaS) platform that can provision BDAAs to users in various domains as consumable services in an easy to use way and at lower price. To support the AaaS platform, our research focuses on efficiently scheduling Cloud resources for BDAAs to satisfy Quality of Service (QoS) requirements of budget and deadline for data
analytic requests and maximize profit for the AaaS platform. We propose an admission control and resource scheduling algorithm, which not only satisfies QoS requirements of requests as guaranteed in Service Level Agreements (SLAs), but also increases the profit for AaaS providers by offering a cost- effective resource scheduling solution. We propose the architecture and models for the AaaS platform and conduct experiments to evaluate the proposed algorithm. Results show the efficiency of the algorithm in SLA guarantee, profit enhancement, and cost saving.
Visitor Kindly Note : This website is created solely for the engineering students and graduates to download an engineering e-books, Competitive Study Notes & other Study materials for free of cost. LearnEngineering team try to Helping the students and others who cannot afford buying books is our aim. If You think this Study Material/Book is Useful, Please Get It Legally from the publishers & If you feel good Share this Website with Others.
Disclaimer : LearnEngineering does not own this book/materials, neither created nor scanned. we provide the links which is already available on the internet. For any quarries, Disclaimer are requested to kindly contact us, We assured you we will do our best. We DO NOT SUPPORT PIRACY, this copy was provided for students who are financially troubled but deserving to learn. Thank you
Link is Successfully Activated to save the Book/Material (PDF)
Kindly Note : For Security purpose (Spam Protections), You need to Verify the below Captcha to Active your Download Link.
Click below the link “DOWNLOAD” to save the Book/Material (PDF)
DOWNLOAD – SLA-Based Resource Scheduling for Big Data Analytics as a Service in Cloud Computing Environments – Free Download PDF
IS THIS MATERIAL IS HELPFUL, KINDLY SHARE IT
We need Your Support, Kindly Share this Web Page with Other Friends
If you have any Engg related project reports kindly share it with us, It will be useful to other friends & We Will Publish The Book Submitted By You Immediately Including The Book Credits (Your Name) Soon After We Receive It (If The Book Is Not Posted Already By Us)
A GOOD MATERIAL ALONG WITH WELL EXPLAINED REPORTS MAY LEADS TO GIVE A INNOVATIVE IDEAS FOR EVERY ENGINEERS.
WISHING EVERY PERSON WHO GETS THIS MATERIAL FROM OUR SITE ALL THE VERY BEST !!
DISCLAIMER : I am not the original publisher of this Project Report. This e-book/Material has been collected from other sources of net. Main aim Our Team is to share a more complete Project report with us in-order to get deep Knowledge in that Particular Topics.
Thank you for visiting my thread. Hope this post is helpful to you. Have a great day !
Kindly share this post with your friends to make this exclusive release more useful.