Processing large quantities of data is becoming more ubiquitous and is the driving force behind the sustained growth and impact of Internet Services and Big Data analytics. The way data-intensive applications are deployed has been radically transformed by the cloud computing paradigm realized through massive-scale datacenters. However, datacenter-scale failures have occurred numerous times in t...

Rapid growth and proliferation of cloud computing services around the world has increased the necessity and significance of improving the energy efficiency of could implementations. Virtual machines (VM) comprise the backend of most, if not all, cloud computing services. Several VMs are often consolidated on a physical machine to better utilize its resources. We take into account the cooling an...

Improving memory utilization is important for improving the efficiency of a cloud datacenter by increasing the number of usable VMs. Memory over commitment is a common technique for this purpose. Transparent Page Sharing (TPS) is a technique to improve the utilization by sharing identical memory pages to reduce the total memory consumption. For a cloud datacenter, we might expect TPS will reduc...

This paper presents the BEACON Framework, which will enable the provision and management of cross-site virtual networks for federated cloud infrastructures in order to support the automated deployment of applications and services across different clouds and datacenters. The proposed framework will support different federation architectures, going from tightly coupled (datacenter federation) to ...

Although cloud computing has increased in popularity, datacenter utilization has remained for the most part low. This is in part due to the interference that comes as a result of applications sharing hardware and software resources. When interference occurs, the resources of at least one co-scheduled application need to be reduced forcing it to take a performance penalty. In current proposals, ...

In cloud-computing systems, network-bandwidth guarantees have been shown to improve predictability of application performance and cost [1, 28]. Most previous work on cloud-bandwidth guarantees has assumed that cloud tenants know what bandwidth guarantees they want [1, 17]. However, as we show in this work, application bandwidth demands can be complex and time-varying, and many tenants might lac...

Network failure in cloud datacenter could result from inefficient resource allocation; scheduling and logical segmentation of physical machines (network constraints). This is highly undesirable in Distributed Cloud Computing Networks (DCCNs) running mission critical services. Such failure has been identified in the University of Nigeria datacenter network situated in the south eastern part of N...

We examine the economics of demand and supply in cloud computing. The public cloud offers three main benefits to firms: 1) utilization can be scaled up or down easily; 2) capital expenditure (on-premises servers) can be converted to operating expenses, with the capital incurred by a specialist; 3) software can be “pay-as-you-go.” These benefits increase with the firm’s ability to dynamically sc...

This paper presents VMFlockMS, a migration service optimized for cross-datacenter transfer and instantiation of groups of virtual machine (VM) images that comprise an application-level solution (e.g., a three-tier web application). We dub these groups of related VM images VMFlocks. VMFlockMS employs two main techniques: first, data deduplication within the VMFlock to be migrated and between the...

Making cloud services responsive is critical to providing a compelling user experience. Many largescale sites, including LinkedIn, Digg and Facebook, address this need by deploying pools of servers that operate purely on in-memory state. Unfortunately, current technologies for partitioning requests across these inmemory server pools, such as network load balancers, lead to a frustrating program...