P Srinivasa Rao

The surgical and prosthetic protocols for a predictable direct bone-to-implant interface with root form implants were developed and reported by Branemark. However, to reduce early implant failure, attention must be brought to the strength of the bone-to-implant interface during early implant loading. Immediate loading in implant dentistry is a fairly new technique that allows certain types of patients to have their teeth removed and implants placed, along with the prosthesis, in the same day. Providing immediate implant loading requires a great deal of previous experience, as well as advanced knowledge of implant dentistry and significant surgical and prosthodontic skills. Because immediate implant loading requires the cooperation of many different practitioners, hence the importance of teamwork in the achievement of satisfactory results in success rates, function and esthetics, all of which are required for success in any treatment employing implants cannot be undermined.

Digitalization has made the enterprise data rich, with information pertaining to personal as well as business. The question remains whether or not we make use of this massive data for any use. The advent of data intensive applications leads to development of a framework which will crunch massive volumes of information into a knowledgeable source. Hadoop Map Reduce frame work facilitates processing of the huge collection of information in an efficient manner. In Hadoop, it is known that there is delay in execution of the processes submitted by various users at peak loads through SSH authentication. The massive data in the framework is vulnerable when it is outsourced to cloud, as computation as service; for that several authors proposed to use encrypted data, but the user is not allowed to perform read/write operation on encrypted data directly with the existing Hadoop Map Reduce Framework. Hence, in this book, authors aim at providing i) authentication, ii) security to the data being processed and iii) facility for effective retrieval mechanism in Hadoop Map Reduce frame work.