When males provide females with resources at mating, they can become the limiting sex in reproduction, in extreme cases leading to the reversal of typical courtship roles. The evolution of male provisioning is thought to be driven by male reproductive competition and selection for female fecundity enhancement. We used experimental evolution under male- or female-biased sex ratios and limited or...

In spite of extensive research of uncertainty issues in different fields ranging from computational biology to decision making in economics, a study of uncertainty for cloud computing systems is limited. Most of works examine uncertainty phenomena in users’ perceptions of the qualities, intentions and actions of cloud providers, privacy, security and availability. But the role of uncertainty in...

In resource provisioning for datacenters, an important issue is how resources may be allocated to an application such that the service level agreements (SLAs) are met. Resource provisioning is usually guided by intuitive or heuristic expectation of performance and existing user model. Provisioning based on such methodology, however, usually leads to more resources than are actually necessary. W...

A key issue in utility computing environments, such as utility Grids, is the provisioning, orchestration and allocation of resources to services. In these environments, providers need to decide how resources are allocated to service applications according to their workloads, guaranteeing the Quality of Service (QoS) required by customers. Autonomic computing inspired mechanisms are appealing to...

Cloud computing offers on-demand, elastic resource provisioning that allows an enterprise to provide services to their customers at an acceptable quality while consuming only the requisite computing resources as a utility. Since cloud computing resources scale elastically, utilizing cloud computing reduces the risk of over-provisioning, wasting resources during non-peak hours, and reduces the r...

StorNet is a joint project of Brookhaven National Laboratory (BNL) and Lawrence Berkeley National Laboratory (LBNL) to research, design, and develop an integrated end-toend resource provisioning and management framework for high-performance data transfers. The StorNet framework leverages heterogeneous network protocols and storage types in a federated computing environment to provide the capabi...

Data analytics is becoming increasingly prominent in a variety of application areas ranging from extracting business intelligence to processing data from scientific studies. MapReduce programming paradigm lends itself well to these data-intensive analytics jobs, given its ability to scale-out and leverage several machines to parallely process data. In this work we argue that such MapReduce-base...

Efficiently operating and managing large scale distributed and federated systems is an extremely challenging problem. Current solutions are a combination of centralized management and significant over-provisioning of the infrastructure. With the explosion of new resource-intensive media applications and services, over provisioning of the infrastructure is no longer a viable option. Timely and a...

The cloud environment makes it possible to analyze large data sets in a scalable computing infrastructure. In the bioinformatics field, the applications are composed of the complex workflow tasks, which require huge data storage as well as a computing-intensive parallel workload. Many approaches have been introduced in distributed solutions. However, they focus on static resource provisioning w...