As the number of cores in a multicore node increases in accordance with Moore’s law, the question arises as to whether there are any “hidden” costs of a cloud’s virtualized environment when scaling applications to take advantage of larger core counts. This paper identifies one such cost, resulting in up to a 583% slowdown as the multicore application is scaled. Surprisingly, these slowdowns ari...

Virtual Machine Monitors (VMMs) (e.g., Xen and VMWare) support the creation and execution of multiple virtual machines (VMs) on the same platform, and they enforce the isolation properties necessary to make the underlying shared platform resources appear exclusive to each VM. Toward these ends, VMMs export virtual instances of physical resources to VMs and they offer secure methods for sharing ...

Virtualized data centers facilitate higher resource utilization and energy efficiency through consolidation. However, mixing services-oriented workloads with throughput (batch) jobs is typically avoided due to complex interactions and widely different quality of service (QoS) requirements. We introduce a complete VM resource management framework, called Themis, which manages combined services a...

Abstract With the rapid growth of cloud computing services, high energy consumption data centers has become a critical concern society. While virtual machine (VM) consolidation is often used to reduce consumption, excessive VM may lead local hot spots and increase risk equipment failure. One possible solution this problem utilize thermal-aware scheduling, but existing approaches have trouble re...

Improving the energy efficiency of data centers while guaranteeing Quality Service (QoS), together with detecting performance variability servers caused by either hardware or software failures, are two major challenges for efficient resource management large-scale cloud infrastructures. Previous works in area dynamic Virtual Machine (VM) consolidation mostly focused on addressing challenge, but...

Virtualization and cloud computing technologies now make it possible to consolidate multiple online services, which are packed in virtual machines (VMs), into a smaller number of physical servers. However, it is still a challenging scheduling problem for cloud provider to dynamically manage the resource for VMs in order to handle variable workloads without service level agreement (SLA) violatio...

A key aspect of cloud computing is the promise of infinite, scalable resources, and that cloud services should scale up and down on demand. This thesis investigates methods for dynamic resource allocation and management of services in cloud datacenters, introducing new approaches as well as improvements to established technologies. Virtualization is a key technology for cloud computing as it al...

The consolidation of data from different sources can be particularly vexing in the determination of the values of the fundamental physical constants. For example, the U.S. National Institute of Standards and Technology (NIST) recently reported “two major inconsistencies” in some measured values of the molar volume of silicon Vm(Si) and the silicon lattice spacing d220, leading to a recommended ...

To design green clouds with optimal energy and resource consumption, the host consolidation process became most prominent cloud management policy today. In case of a consolidation, underloaded host's VMs are shifted to other hosts control extravagance at data center. The is considered an NP-hard problem, as it depends on several computational resources (i.e., CPU, RAM, Bandwidth) migration cons...