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The key to maintaining high standards of quality and power conservation of physical machines in data centers lies in efficient consolidation of virtual machines (VMs). Several schemes have been proposed for this purpose; and these include online migration and VM placement — which can offer the best in terms of resource utilization. The consolidation process can be made effective by finding “opportunities”...
Automatic decision-making approaches, such as reinforcement learning (RL), have been applied to (partially) solve the resource allocation problem adaptively in the cloudcomputing system. However, a complete cloud resource allocation framework exhibits high dimensions in state and action spaces, which prohibit the usefulness of traditional RL techniques. In addition, high power consumption has become...
Mobile services, especially video streaming, has seen a rapid usage increase in recent years. Base stations (BSs) need to employ smarter and efficient resource allocation strategies to maintain high quality of service (QoS) to users at all the times. Predictive resource allocation (PRA), is one such novel scheme, in which BSs seek to anticipate the user demands and offer service to users in advance...
Cloud providers use power under-provision policy to reduce the cost of infrastructure. Power capping technology is one of common approaches of power under-provision mechanism. It limits the maximal power consumption of server. DVFS and CPU capping are widely used approaches for power capping. However, they bring performance degradation due to lower frequency and less CPU slices. Here, we discover...
IaaS has become one of the most dominant features that cloud computing offers by providing access to computing resources in a virtualized environment. IaaS enables datacenter's hardware to get virtualized using virtualization, which allows Cloud providers to create multiple Virtual Machine (VMs) instances on a single physical machine, thus improving resource utilization and increasing the Return on...
The rapid increase in power consumption of high performance computing (HPC) systems has led to an increase in the amount of cooling resources required to operate these facilities at a reliable threshold. The cooling systems contribute a large portion of the total power consumption of the facility, thus driving up the costs of providing power to these facilities. In addition, when cores sharing resources...
This paper focuses on the bi-objective experimental analysis of online scheduling in the Infrastructure as a Service model of Cloud computing. In this model, customer have the choice between different service levels. Each service level is associated with a price per unit of job execution time and a slack factor that determines the maximal time span to deliver the requested amount of computing resources...
Novel transmission mechanisms are imperatively needed to cope with the exponential growth of mobile traffic and its associated power consumption. To address such challenges, we present lookahead video delivery schemes that jointly improve the streaming experience and reduce BS power consumption. This is accomplished by exploiting knowledge of future wireless rates users are anticipated to face. Such...
The downsizing of transistor dimensions enabled in the future nanotechnologies will inevitably increase the number of faults in the complex ULSI chips. To maintain the production yield at acceptable level, several levels of protection mechanisms will have to be implemented to tolerate the permanent and transient faults occurring in the physical layers. In this paper, we study fault tolerance at the...
This paper investigates effects of pilot assisted channel estimation on dynamic resource allocation in a multiuser orthogonal frequency division multiplexing (OFDM) system. The channel estimation is done in each OFDM symbol through least-squared error (LSE) or minimum mean-squared error (MMSE) algorithm. The performance of each of these algorithms is evaluated through computer simulations. The maximal...
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