International Journal of Modern Embedded System (IJMES) Volume No.-2, Issue No.-6, December, 2014
ISSN: 2320-9003(Online)
OpenStack Juno Release Includes Features of NFV, Big Data Rakesh Kumar Red Hat Certified Engineer E-mail:
[email protected] Abstract: OpenStack is a set of software tools for building, managing cloud computing platforms for public as well as private clouds. OpenStack controls large pools of compute, storage and networking resources throughout a datacenter, managed through a dashboard (Horizon). This paper includes the introduction to Cloud Computing, OpenStack Software with all release history. Further this paper contains OpenStack architecture as well as Conceptual diagram and at last covering Introduction to OpenStack Juno release as well as includes what new features added in OpenStack Juno release. The aim of this paper is to show importance of OpenStack Juno release that enables efficient as well as dynamic management of virtualization, storage and networking of all resources with great flexibility.
Keywords: Cloud Computing, OpenStack, IaaS, Juno, Kilo, Trove, Ironic and Sahara
I.
INTRODUCTION
Cloud computing is a new paradigm that is a different way to deliver computer resources, rather than a new technology, as well as it is a comprehensive solution that delivers IT as a service. Cloud Computing is based on Internet computing solution where shared resources are provided like electricity distributed on electrical grid. Cloud computing easily increases efficiency and offers many more benefits such as Flexibility, Disaster recovery, Automatic software updates, Cap-Ex Free, Increased collaboration, Work from anywhere, Document control, Security, Competitiveness, Environmentally friendly etc.
II. OPENSTACK OpenStack is a set of software tools for building as well as managing cloud computing platforms for public and private clouds. OpenStack cloud operating system turns all sets of hypervisors within a data centre or across multiple data centres into pools of resources, and these pools of resources can be consumed as well as managed from a single place which is dashboard. Administrators and users can go to its dashboard to perform their tasks in easy and fast manner, and one can create virtual machines (VMs), configure networks and manage volumes all from a single place. OpenStack community collaborates around 6 month, time-based release cycle with frequent development milestones.
S. No.
Release Date
Release Name
Included Component code names
1
21 October 2010
Austin
Nova, Swift
2
3 February 2011
Bexar
Nova, Glance, Swift
3
15 April 2011
Cactus
Nova, Glance, Swift
4
22 September 2011
Diablo
Nova, Glance, Swift
5
5 April 2012
Essex
Nova, Glance, Swift, Horizon, Keystone
6
27 September 2012
Folsom
Nova, Glance, Swift, Horizon, Keystone, Quantum, Cinder
7
4 April 2013
Grizzly
Nova, Glance, Swift, Horizon, Keystone, Quantum, Cinder
8
17 October 2013
Havana
Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder, Heat, Ceilometer
9
17 April 2014
Icehous e
Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder, Heat, Ceilometer, Trove
10
16 October 2014
Juno
Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder, Heat, Ceilometer, Trove
Kilo
Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder, Heat, Ceilometer, Trove, Ironic, Zaqar, Sahara
III. RELEASE HISTORY Tenth release of the open source software, OpenStack Juno, for building public, private, as well as hybrid clouds has 342 new important features to support software development, big data analysis and application infrastructure at scale. The OpenStack community continues to attract the developers, experts in their disciplines with 1,419 individuals employed by more than 133 organizations contributing to the OpenStack Juno release. RES Publication © 2012 http://ijmes.info
11
April 2015
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International Journal of Modern Embedded System (IJMES) Volume No.-2, Issue No.-6, December, 2014
Table1-1: Release History
IV. OPENSTACK ARCHITECTURE OpenStack project is designed mainly to deliver a massively scalable cloud operating system. OpenStack is architected to provide flexibility as you design your cloud, and no proprietary hardware or software requirements as well as ability to integrate with legacy systems and also third party technologies. OpenStack supports ARM and alternative hardware architectures, as well as KVM and Xen Server are popular choices for hypervisor technology.
ISSN: 2320-9003(Online)
B. OpenStack Block Storage (Cinder) In Juno release, Block Storage added ten new storage backends, improved testing on third-party storage systems and Support for Volume Pools, Replication also.
C. OpenStack Dashboard (Horizon) In Juno release, Dashboard rolled out the ability to deploy Apache Hadoop clusters in seconds, and giving users the ability to rapidly scale data sets based on a set of custom parameters. In Juno release, include extending RBAC system to support OpenStack projects Compute, Networking, Orchestration.
D. OpenStack Orchestration (Heat) In Juno release, it is easier to roll back a failed deployment as well as ensure thorough cleanup. In Juno release, administrators can delegate resource creation privileges to nonadministrative users.
E. OpenStack Database Service (Trove) In Juno release, database service added new options for MySQL replication, Mongo clustering, Postgres as well as Couchbase.
F. OpenStack Data Processing (Sahara)
Figure1. Conceptual Diagram
V.
NEW FEATURES IN JUNO
OpenStack Juno release has nearly 342 new features as well as 3,219 bug fixes signaling a continuing maturation of the software as the most widely supported cloud platform. OpenStack Juno release also adds enterprise features like storage policies, data processing that provisions Hadoop and Spark, as well as Network Functions Virtualization (NFV).
A. OpenStack Compute (Nova) Network Functions Virtualization (NFV) support for OpenStack main aims to provide best possible infrastructure for like workloads to be deployed in, while respecting the design principles of a Infrastructure as a Service (IaaS) cloud. In Juno release, Compute added new features like improvements for rescue mode that users requested as well as allowing pernetwork setting on nova-network code, key drivers were added like bare metal as a service (Ironic), Docker support through StackForge as well as some improvements were made to support scheduling and live upgrades.
RES Publication © 2012 http://ijmes.info
In Juno release, data processing capability automates provisioning as well as management of big data clusters using Hadoop and Spark.
G. OpenStack Object Storage (Swift) In Juno release, Object Storage added new features like updated support for the Identity project (Keystone) as well as account to account copy feature rollout.
H. OpenStack Network Service (Neutron) In Juno release, Networking enables plug-ins for the backend implementation of the OpenStack Networking API as well as blazes an initial path for migration from nova-network to Neutron. Supporting L3 High Availability, networking layer also allows a distributed operational mode.
I. OpenStack Identity (Keystone) In Juno release, Keystone can be configured to use multiple identity backends as well as integration with LDAP is much easier.
J. OpenStack Telemetry (Ceilometer) In Juno release, Telemetry added new features like efficiency improvements including Metering of Neutron networking services such as LBaaS, FWaaS and VPNaaS. Page | 12
International Journal of Modern Embedded System (IJMES) Volume No.-2, Issue No.-6, December, 2014
K. OpenStack Image Service (Glance) In Juno release, Image Service added new features like asynchronous processing, Metadata Definitions Catalog, restricted policies for downloading images and Pull of glance.store into its own library.
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VI. CONCLUSION Cloud computing is an evolving technology that easily providing IT infrastructure. OpenStack is an open source software that is used for designed to allow researchers and administrators to deploy Infrastructure as a service (IaaS) and provide tools for managing, creating virtual machines (VMs) on top of existing resources. Further research is going on related to most efficient easy solution of security issues and increase the performances in dynamic reconfiguration in an Infrastructure as a Service (IaaS) Cloud Computing.
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ACKNOWLEDGMENT I wish to thank to Dr. Prof. K. K. Agrawal (Professor of JECRC, Jaipur), Ms. Neha Gupta (Assistant Professor of JECRC, Jaipur), Mr. Sunil Kumar Jangir (Assistant Professor of JECRC, Jaipur) and all Faculty Member of JECRC Foundation, Jaipur for their time to time suggestions, guidelines, relevant data and technical support.
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Rakesh Kumar, Bhanu Bhushan Parashar, (November, 2014) “Dynamic Resource Allocation and Management Using OpenStack”, National Conference on Emerging Technologies in Computer Engineering (NCETCE) – 2014, Supported by: Computer Society Chapter, IEEE Delhi Section. Rakesh Kumar, Sonu Agarwal, Muskan Bansal, Anurag Mishra, (November, 2014) “Open Source Virtualization Management Using Ganeti Platform”, National Conference on Emerging Technologies in Computer Engineering (NCETCE) – 2014, Supported by: Computer Society Chapter, IEEE Delhi Section. Siddharth Jain, Rakesh Kumar, Sourabh Kumawat, Sunil Kumar Jangir, (Novenber, 2014) “An analysis of security and privacy issues, Challenges with possible solution in cloud computing”, National Conference on Computational and Mathematical Sciences (COMPUTATIA-IV), Technically Sponsored By: ISITA and RAOPS, Jaipur. Rakesh Kumar, Laveena Adwani, Sourabh Kumawat, Sunil Kumar Jangir, (November, 2014) “OpenNebula: Open Source IaaS Cloud Computing Software Platforms”, National Conference on Computational and Mathematical Sciences (COMPUTATIA-IV), Technically Sponsored By: ISITA and RAOPS, Jaipur. Rakesh Kumar, Bhanu Bhushan Parashar, Sakshi Gupta, Yougeshwary Sharma, Neha Gupta, (October, 2014) “Apache Hadoop, NoSQL and NewSQL Solutions of Big Data”,
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ISSN: 2320-9003(Online)
International Journal of Advance Foundation and Research in Science & Engineering (IJAFRSE), Volume 1, Issue 6, (Page No: 28-36). Rakesh Kumar, Yougeshwary Sharma, Sonu Agarwal, Pragya, Bhanu Bhushan Parashar, (October, 2014) “Extremely effective CRM Solution Using Salesforce”, Journal of Emerging Technologies and Innovative Research (JETIR), Volume 1, Issue 5, (Page No: 278-282). Rakesh Kumar, Neha Gupta, Shilpi Charu, Somya Bansal, Kusum Yadav, (August, 2014) “Comparison of SQL with HiveQL”, International Journal for Research in Technological Studies, Vol. 1, Issue 9, ISSN (online): 2348-1439, pg. 28-30. Rakesh Kumar, Kanishk Jain, Hitesh Maharwal, Neha Jain, Anjali Dadhich, (July, 2014) “Apache CloudStack: Open Source Infrastructure as a Service Cloud Computing Platform”, IJAETMAS, Vol.1, Issue.2, pg. 111-116, ISSN: 2349-3224. Rakesh Kumar, Neha Gupta, Hitesh Maharwal, Shilpi Charu, Kusum Yadav, (May, 2014 ) “Critical Analysis of Database Management Using NewSQL”, IJCSMC, Vol.3 Issue.5, pg. 434438, ISSN 2320–088X . Rakesh Kumar, Neha Gupta, Shilpi Charu, Kanishk Jain, Sunil Kumar Jangir, (May, 2014) “Open Source Solution for Cloud Computing Platform Using OpenStack”, IJCSMC, Vol. 3, Issue. 5, pg.89 – 98, ISSN 2320–088X. Rakesh Kumar, Neha Gupta, Shilpi Charu, Sunil Kumar Jangir, (April, 2014) “Manage Big Data through NewSQL”, National Conference on Innovation in Wireless Communication and Networking Technology – 2014, Association with THE INSTITUTION OF ENGINEERS(INDIA). Rakesh Kumar, Neha Gupta, Shilpi Charu, Sunil Kumar Jangir, (April, 2014) “Architectural Paradigms of Big Data”, National Conference on Innovation in Wireless Communication and Networking Technology – 2014, Association with THE INSTITUTION OF ENGINEERS(INDIA). OpenStack URL: http://www.openstack.org/
AUTHOR’S BIOGRAPHIES Mr. Rakesh Kumar was born in Karah Dih, Nalanda, Bihar, India in 15 April 1993. He passed his B.Tech. Degree in the department of IT at JECRC, Jaipur, India which is affiliated to RTU, Kota. He has 6 months industrial experience and presented 12 research papers in different International and National Conferences. He is a senior member of the IACSIT, and member of SCIEI, UACEE. He is Red Hat Certified System Administrator (RHCSA), Red Hat Certified Engineer (RHCE), Microsoft Certified Professional (MCP) and IBM DB2 Certified. His research interests includes Cloud Computing, Big data, Hadoop, NoSQL and NewSQL.
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