In the era of big data with exponential growth in volume, how to reduce security issues such as leakage caused by machine learning is a hot area recent research. The existing privacy budget allocation strategies are usually only suitable for applications specific spaces and cannot meet users' personalized needs allocation. Therefore, linear strategy proposed. assigns each layer linearly increas...

performance budgeting has been an important theme of public expenditure management for decades. in the 1990s, however, a new wave of enthusiasm for performance budgeting began to sweep through governments. in recent years, however, the level of interest in organizational use of performance-based budgeting re-emerged with more details and support from researchers and practitioners. performance-b...

In multimedia platform with many applications, reliability allocation plays an important role in the design of a software and has attracted increasing attention in recent years. Thus far, the issues of software reliability allocation have been discussed from many aspects, such as mathematical models and solutions to maximize the reliability. However, most of this research has concentrated on si...

Co-allocation is a fundamental infrastructure to aggregate heterogeneous and distributed resources in grid environments. Although it has been studied extensively, coallocation under the constraints to budget and deadline still remains an opening issue, which means that tradeoff between user QoS requirements and system performance should be agreed. In this paper, a novel agent-based twophase co-...