Resource Allocation for Minimized Power Consumption in Hardware Accelerated Clouds

2019-01-01
Ekici, Nazim Umut
Schmidt, Klaus Verner
Yazar, Alper
Schmidt, Şenan Ece
In this paper we propose ACCLOUD-MAN, a novel resource manager for heterogeneous cloud data centers. In heterogeneous clouds a user request can be satisfied with more than one physical resource alternative. That is, the resource manager must decide which resource alternative will be chosen, along with the decision of the server the request will be assigned to. ACCLOUD-MAN's resource management objective is to reduce the power consumption of the cloud data center. To this end, the manager is modeled as an integer linear programming problem and is implemented in MATLAB, along with a cloud data center simulation platform. Simulation results show that the proposed ACCLOUD-MAN outperforms existing resource allocation methods such as Openstack.

Suggestions

ACCLOUD-MAN - Power efficient resource allocation for heterogeneous clouds ACCLOUD-MAN - Heterojen bulutlarda güç etkin kaynak atamasi
Ekici, Nazim Umut; Schmidt, Klaus Werner; Yazar, Alper; Schmidt, Şenan Ece (2019-04-01)
In this paper we propose ACCLOUD-MAN, a novel resource manager for heterogeneous cloud data centers. In heterogeneous clouds a user request can be satisfied with more than one physical resource alternative. Resource manager must decide which resource alternative will be chosen, along with the decision of the server the request will be assigned to. ACCLOUD-MAN's resource management objective is to reduce the power consumption of the cloud. Manager is modeled as an Integer Linear Problem and is implemented on...
ACCLOUD (Accelerated CLOUD): A novel FPGA-Accelerated cloud archictecture-ACCLOUD: FPGA ile Hızlandırılmış Yeni bir BulutMimarisi
YAZAR, ALPER; EROL, AHMET; Schmidt, Şenan Ece (2018-07-09)
In this paper, we propose ACCLOUD (ACcelerated CLOUD) as a a novel architecture for cloud data centers. ACCLOUD features FPGA cards which work with the cloud servers or stand alone for hardware acceleration in the data plane. To this end, FPGA reconfigurable regions are virtualized and offered to the user together with other cloud resources including CPU, memory or disk. The cloud control is carried out within OpenStack framework incorporating the hardware resources. We propose a novel resource management a...
CLOUDGEN: Workload generation for the evaluation of cloud computing systems CLOUDGEN: Bulut Bilişim Sistemlerinin Başarim Deǧerlendirmesi icin Iş Yuku Uretimi
Koltuk, Furkan; Yazar, Alper; Schmidt, Şenan Ece (2019-04-01)
In this paper, we propose CLOUDGEN workflow that produces synthetic workloads for Infrastructure and Platform as a Service for the evaluation of resource management approaches in cloud computing systems. To this end, CLOUDGEN systematically processes and clusters records in a given workload trace and fits distributions for different workload parameters within the clusters. Different than the previous work, clustering is carried out to produce different virtual machine types for achieving models that are sui...
Optimal dynamic resource allocation for heterogenous cloud data centers
Ekici, Nazım Umut; Güran Schmidt, Şenan.; Department of Electrical and Electronics Engineering (2019)
Today's data centers are mostly cloud-based with virtualized servers to provide on-demand scalability and flexibility of the available resources such as CPU, memory, data storage and network bandwidth. Heterogeneous cloud data centers (CDCs) offer hardware accelerators in addition to these standard cloud server resources. A cloud data center provider may provide Infrastructure as a Service and Platform as a Service (IPaaS), where the user gets a virtual machine (VM) with processing, memory, storage and netw...
EXTENSION OF AN OPEN SOURCE RESOURCE MANAGEMENT TOOL FOR HETEROGENEOUS CLOUD DATA CENTERS: IMPLEMENTATION AND EVALUATION
Doğan, Taha; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2022-2-11)
Cloud Computing is enabled by the virtualization of computing resources to realize users' requests of virtual machines (VMs) and data processing in the scope of Infrastructure as a Service (IaaS) and Software as a Service (SaaS) respectively. The current heterogeneous cloud data centers incorporate hardware accelerators in addition to the conventional servers to offer these services more efficiently. It is an important research problem to allocate heterogeneous physical computing resources to a mixture of ...
Citation Formats
N. U. Ekici, K. V. Schmidt, A. Yazar, and Ş. E. Schmidt, “Resource Allocation for Minimized Power Consumption in Hardware Accelerated Clouds,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57150.