Distributed systems have been an active research area in computer science for the last decade, task allocation and load balancing have been a major issue associated with such systems. The load-balancing problem, attempts to compute the assignment with smallest possible makespan (i.e. the completion time at the maximum loaded computing node). Load balancing problem is a NP hard problem. This pap...

The policy in dynamic load balancing, classification and function are variety based on the focus study for each research. They are different but employing the same strategy to obtain the load balancing. The communication processes between policies are explored within the dynamic load balancing and decentralized approaches. At the same time the computation processes also take into consideration ...

BACKGROUND This meta-analysis was designed to compare the accuracy of soft tissue balancing and femoral component rotation as well as change in joint line positions, between the measured resection and gap balancing techniques in primary total knee arthroplasty. METHODS Studies were included in the meta-analysis if they compared soft tissue balancing and/or radiologic outcomes in patients who ...

• We propose a new optimal automatic load balancing criterion for parallel iterative applications. introduce an algorithm finding the time at which dynamic should be triggered. Our outperforms state-of-the-art criteria by up to 17.6%, while being, on average, 4.9% faster. show that are most 42% slower than optimum. Parallel applications often suffer from imbalance, one of critical performance d...

In this article, we extend Cheng, Zhang and Wang [17] model studied pricing strategies in marketing. The objective is to find the optimal inventory and pricing strategies maximizing the net present value of total profit over the infinite horizon. It is important to control and maintain the inventories of deteriorating items for the modern corporation. We will discuss two models: one is without ...

The development of control-oriented decision policies for inventory management in supply chains has received considerable interest in recent years, and demand modeling to supply forecasts for these policies is an important component of an effective solution to this problem. Drawing from the problem of controlrelevant identification, we present an approach for demand modeling based on data that ...

We consider a stochastic inventory control problem in which a buyer makes procurement decisions while facing periodic random demand and two supply sources, namely, a long-term contract supplier and a spot market. The contract between the buyer and the supplier partially shields the latter from the vicissitudes of the spot market, in that the price paid by the buyer to the supplier is only parti...

Motivated by the widespread adoption of dynamic pricing in industry and the empirical evidence of costly price adjustments, in this paper we consider a periodic-review inventory model with price adjustment costs that consist of both fixed and variable components. In each period, demand is stochastic and price-dependent. The firm needs to coordinate the pricing and inventory replenishment decisi...