Multiple predator effects (MPEs) can modify the strength of pest regulation, causing positive or negative deviations from those that are predicted from independent effects of isolated predators. Despite increasing evidence that omnivory can shape predator-prey interactions, few studies have examined the impact of alternative plant food on interactions between multiple predators. In the present ...

In this paper, we present slot selection algorithms in economic models for independent job batch scheduling in distributed computing with non-dedicated resources. Existing approaches towards resource co-allocation and multiprocessor job scheduling in economic models of distributed computing are based on search of time-slots in resource occupancy schedules. The sought time-slots must match requi...

We consider the problem of allocating networked resources in dynamic environment, such as cloud computing platforms, where providers strategically price resources to maximize their utility. Resource allocation in these environments, where both providers and consumers are selfish agents, presents numerous challenges since the number of consumers and their resource demand is highly dynamic. While...

We investigate a hierarchically organized cloud infrastructure and compare distributed hierarchical control based on resource monitoring with market mechanisms for resource management. The latter do not require a model of the system, incur a low overhead, are robust, and satisfy several other desiderates of autonomic computing. We introduce several performance measures and report on simulation ...

Over the past decade, wireless sensor networks have advanced in terms of hardware design, communication protocols, and resource efficiency. Recently, there has been growing interest in mobility, and several small-profile sensing devices that control their own movement have been developed. Unfortunately, resource constraints inhibit the use of traditional navigation methods because these typical...

This chapter presents a general framework of resource-driven workflows as an alternative to the more popular control flow driven workflows approach. We argue that this approach is more holistic than control flow driven approaches because it considers availability of resources such as data, people, equipment, space, etc. Control flow driven approaches usually either disregard resource considerat...

Despite the recent development of more sensitive technologies, diagnosis of tuberculosis in resource limited settings continues to rely on sputum smear microscopy. This is explained by the fact that smear microscopy is simple, inexpensive, and the most accessible tool in resource limited settings for tuberculosis diagnosis. Hot Ziehl-Neelsen (Z-N) is still used in laboratories of resource limit...

undoubtedly, one of the most fundamental issues in the study of law is obligation that has diverse types. one of them is alternative obligation which, despite instances in the iranian legal system, has not been mentioned by the civil code and has received less attention from authors. alternative obligation for the parties has several advantages and facilities including further guarantee of the ...

In this work, we present slot selection algorithms for job batch scheduling in distributed computing with non-dedicated resources. Jobs are parallel applications and these applications are independent. Existing approaches towards resource co-allocation and parallel job scheduling in economic models of distributed computing are based on search of time-slots in resource occupancy schedules. The s...

This research proposes a preemptive fuzzy goal programming model for multi-objective multi-mode resource constrained project scheduling problem. The objectives of the problem are minimization of the total time and the total cost of the project. Objective in a multi-mode resource-constrained project scheduling problem is often a minimization of makespan. However, both time and cost should be con...