A Dual Framework for Targated Online Data Delivery Algorithms

Provided by: International Journal of Computing Science and Information Technology (IJCSIT)
Topic: Big Data
Format: PDF
A variety of emerging online data delivery applications challenge existing techniques for data delivery to human users, applications, or middleware that are accessing data from multiple autonomous servers. In this paper, the authors develop a framework for formalizing and comparing pull-based solutions and present dual optimization approaches. This approach, most commonly used now-a-days, maximizes user utility under the strict setting of meeting a priori constraints on the usage of system resources. They present alternative and more flexible approach that maximizes user utility by satisfying all users. It does this while minimizing the usage of system resources.

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