Generalized resource management for heterogeneous cloud data centers

Download

index.pdf

Date

2019

Author

Erol, Ahmet

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

51
views

12
downloads

OpenStack is a widely used management tool for cloud computing which is designed to work on servers and allocate standard computing resources such as CPU, memory or disk. The current trend for integrating different hardware accelerators such as FPGAs and GPUs in the cloud requires managing these heterogeneous resources. In this thesis, we propose a generalization for OpenStack Nova project which extends the relevant data structures to include these new resources. More importantly, we present a new lightweight Nova Compute module that we call Nova-G Compute. Nova-G Compute is suitable to work with different hardware platforms and can communicate with the rest of the OpenStack Projects. We implement a hypervisor-like software to enable Nova-G Compute accessing the FPGA resources. We perform experimental evaluation of Nova-G Compute using the known and used OpenStack benchmarking tool Rally. Our results show that Nova-G Compute works as desired without any reduced performance compared to standard Nova.

Subject Keywords

Cloud computing., Keywords: Cloud computing, virtualization, OpenStack, FPGA, Nova, Rally.

URI

http://etd.lib.metu.edu.tr/upload/12624648/index.pdf
https://hdl.handle.net/11511/44565

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

OpenStack Generalization for Hardware Accelerated Clouds Erol, Ahmet; Yazar, Alper; Schmidt, Şenan Ece (2019-01-01) OpenStack is a widely used management tool for cloud computing which is designed to work on servers and allocate standard computing resources such as CPU, memory or disk. The current trend for integrating different hardware accelerators such as FPGAs and GPUs in the cloud requires managing these heterogeneous resources. In this paper, we propose a generalization for OpenStack Nova project which extends the relevant data structures to include these new resources. More importantly, we present a new lightweigh...
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...
A generalization of openstack for managing heterogeneous cloud resources Heterojen bulut kaynaklarinin yonetimi için openstack genelleştirimi Erol, Ahmet; Yazar, Alper; Schmidt, Şenan Ece (2019-04-01) This paper describes the generalization of OpenStack cloud resource management software to manage hardware resources other than the standard resources on the servers. To this end, OpenStack resource data structure is updated and the Nova project, which runs on the compute node, is rewritten so that it can run on different hardware platforms without depending on the operating system.
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 ...
A Cloud Based Workflow for a Finite Element Analysis Preprocessor Kurt, Tolga; Arıcı, Yalın; Kurç, Özgür (2015-03-24) This paper presents a cloud based workflow and a software implementation that has a web-based GUI and a modular backend server which consists of an interface and many worker applications that are distributed over a network of computers or virtual machines. The implemented software is capable of three-dimensional modelling, mesh generation and analysis of large dam models using finite element and analysis. Visualization is performed with a web browser using the JavaScript library three.js which drives the We...

Citation Formats

A. Erol, “Generalized resource management for heterogeneous cloud data centers,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Electrical and Electronics Engineering., Middle East Technical University, 2019.