Object replication is commonly employed to enhance the availability of data-intensive services. As far we we know, existing availability-oriented replication schemes are oblivious to object request popularities when determining object replication degrees. However, many large-scale data-intensive applications contain objects with highly skewed data object request popularity distributions. Such n...

Interest in Constraint Satisfaction Problems (CSP) continues to grow, fueled by both their uniform problem representation, i.e., constraint graph, and conceptually clear problem solver, i.e., heuristically guided variable and value ordering. With the advent of interval constraints, e.g, temporal and spatial, and their associated consistency techniques, and the availability of Constraint Languag...

this study examined the effect of urbanization on agricultural production in abia state. specifically, it categorized the land tenancy status of the farmers, analyzed the effect of urbanization on agricultural productivity and identified the constraints to agricultural productivity. multistage random sampling technique was used to select the respondents. primary data collected using structured ...

‎In this paper, using the idea of convexificators, we study boundedness and nonemptiness of Lagrange multipliers satisfying the first order necessary conditions. We consider a class of nons- mooth fractional programming problems with equality, inequality constraints and an arbitrary set constraint. Within this context, define generalized Mangasarian-Fromovitz constraint qualification and sh...

this paper provides an optimality-theoretic account of dissimilation in standard persian as well as some other accents and dialects of persian. as such, this work starts by introducing optimality theory (henceforth ot) and its basic concepts and then it investigates dissimilation in this framework. it argues for the superiority of ot over derivational approaches regarding a case in which both d...

Block modeling has been used extensively in many domains including social science, spatial temporal data analysis and even medical imaging. Original formulations of the problem modeled it as a mixed integer programming problem, but were not scalable. Subsequent work relaxed discrete optimization requirement, showed that adding constraints is straightforward existing approaches. In this work, we...

This letter proposes an optimization with penalty-based feedback design framework for safe stabilization of control affine systems. Our starting point is the availability a Lyapunov function (CLF) and barrier (CBF) defining affine-in-the-input inequalities that certify, respectively, stability safety objectives dynamics. Leveraging ideas from penalty methods constrained optimization, proposed i...

This thesis investigates the problem of constraint-directed reasoning in the job-shop scheduling domain. The job-shop scheduling problem is defined as: selecting a sequence of operations whose execution results in the completion of an order, and assigning times (i.e., start and end times) and resources to each operation. The number of possible schedules grows exponentially with the number of or...

Development is the fundamental area in enabling India`s economy and urban and provincial structure. Development is a multi-connected structure where all variables are bury connected and multi-centered. All the three limitations time, expense and quality ought to be adjusted in an improved way, so that no segment gets influenced by dismissing those. The goal of this study is to distinguish the m...