Resource Co-Allocation is basically used to execute multiple site jobs in a large scale computing environments with secure, faultless and in transparent manner. To be precise we are actually allocating multiple resources for different jobs taking into account the time parameter. Here we make use of the Scheduling queue and Resource Co-Allocation to reduce the Turn-around time with an advanced c...

I Supercomputers are capable of providing tremendous computational power, but must be carefully programmed to take advantage of that power. There are several different architectures used in supercomputers, with differing computational models. These different models present a variety of resource allocation problems that must be solved. The computational needs of a program must be cast in terms o...

We assume some sort of structure on the users’ demand which is called Leontief preferences, and states that the utility of an agent is the fraction of its dominant resource that it can actually use, given its proportional demands and its allocation of the various resources. For example, an agent that requires twice as much CPU as RAM to run a task prefers to be allocated 4 CPU units and 2 RAM u...

in this research, both resource allocation and reactive resource allocation problems in multi-server dynamic pert networks are analytically modeled, where new projects are expected to arrive according to a poisson process, and activity durations are also known as independent random variables with exponential distributions. such system is represented as a queuing network, where multi servers at ...

introduction: family physician plan in iran was conducted to establish service referral system. its urban step began in 2012 and it was supposed that the effectiveness is enhanced and the costs are reduced. the implementation of this program has faced some challenges, especially in human resources management. the aim of this study was to optimally allocate human resources for urban family physi...

---Nowadays Cloud Computing is considered as one of the emerging areas in the various fields related to computer science in one way or another. Itdeals with on demand dynamic resource allocation for providing reliable and guaranteed services to the consumer.It is based on pay-as-you-use model to public. Resource allocation is performed with the objective of minimizing the costs related with it....

The equity premium puzzle shows that using standard parameters and setup, the Consumption-based Capital Asset Pricing Model’s (CCAPM’s) prediction of the premium associated with systematic risk is out by an order of magnitude. The object of this paper is to consider the implications of each of the broad classes of explanations of the equity premium puzzle for resource allocation, welfare and po...

This paper describes a model which uses market ideas to allow uniform, scalable allocation of resources by multiple distributed applications in distributed systems. In this situation, using environment unaware manual placement of work by applications will lead to poor load-balancing. Traditionally, such allocation needs to take place in the operating system using heuristics in the presence of i...

Seamless handover is one of the main goals in Long Term Evolution (LTE). In order to achieve a seamless handover, the handover latency needs to be reduced. By predicting where the users are moving, the resource allocation can perform prior to the actual handover, thus can reduce delays in resource allocation and finally can reduce the handover latency. In LTE femtocells network, the large numbe...