To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
33. dynamic resource allocation using virtual machinesmuhammed jassim k
At Softroniics we provide job oriented training for freshers in IT sector. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing, Mechanical, Automobile automation and many other. We are providing long term and short term internship also.
We are providing short term in industrial training, internship and inplant training for Btech/Bsc/MCA/MTech students. Attached is the list of Topics for Mechanical, Automobile and Mechatronics areas.
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
Dynamic resource allocation using virtual machines for cloud computing enviro...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Dr. Konstantinos Giannoutakis presents the CloudLightning simulator, a bespoke cloud simulation engine built for modelling and simulating heterogeneous resources as well as self-organising systems.
This presentation was given at the CloudLightning Conference held in conjunction with NC4 2017 in Dublin City University on 11th April 2017.
Aaron Gember
Research Track Part 2
ONS2015: http://bit.ly/ons2015sd
ONS Inspire! Webinars: http://bit.ly/oiw-sd
Watch the talk (video) on ONS Content Archives: http://bit.ly/ons-archives-sd
33. dynamic resource allocation using virtual machinesmuhammed jassim k
At Softroniics we provide job oriented training for freshers in IT sector. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing, Mechanical, Automobile automation and many other. We are providing long term and short term internship also.
We are providing short term in industrial training, internship and inplant training for Btech/Bsc/MCA/MTech students. Attached is the list of Topics for Mechanical, Automobile and Mechatronics areas.
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
Dynamic resource allocation using virtual machines for cloud computing enviro...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Dr. Konstantinos Giannoutakis presents the CloudLightning simulator, a bespoke cloud simulation engine built for modelling and simulating heterogeneous resources as well as self-organising systems.
This presentation was given at the CloudLightning Conference held in conjunction with NC4 2017 in Dublin City University on 11th April 2017.
Aaron Gember
Research Track Part 2
ONS2015: http://bit.ly/ons2015sd
ONS Inspire! Webinars: http://bit.ly/oiw-sd
Watch the talk (video) on ONS Content Archives: http://bit.ly/ons-archives-sd
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Enviro...SaikiranReddy Sama
In Dynamic Resource Allocation, WE PRESENT A SYSTEM THAT USES VIRTUALIZATION TECHNOLOGY TO ALLOCATE DATA CENTER RESOURCES DYNAMICALLY.
WE INTRODUCE THE CONCEPT OF “SKEWNESS”.
And BY MINIMIZING SKEWNESS, WE CAN COMBINE DIFFERENT TYPES OF WORKLOADS NICELY AND IMPROVE THE OVERALL UTILIZATION OF SERVER RESOURCES.
WE DEVELOP A SET OF HEURISTICS THAT PREVENT OVERLOAD IN THE SYSTEM EFFECTIVELY WHILE SAVING ENERGY USED.
Dynamic resource Allocation using Virtual Machines For Cloud Computing
Dynamic resource allocation using virtual machines for cloud computing enviro...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
A brief discussion about Cloud computing for a beginner, you can get a clear idea about cloud computing from this slides.Also, discuss cloudsim simulator.
dynamic resource allocation using virtual machines for cloud computing enviro...Kumar Goud
Abstract—Cloud computing allows business customers to scale up and down their resource usage based on needs., we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of “skewness” to measure the unevenness in the multidimensional resource utilization of a server. By minimizing imbalance, we will mix completely different of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
Index Terms—Cloud computing, resource management, virtualization, green computing.
I presented "Cloudsim & Green Cloud" in First National Workshop of Cloud Computing at Amirkabir University on 31st October and 1st November, 2012.
Enjoy it!
08569833381 meja tenis meja murah waterproofEdi Sunarso
sedia:
nittaku, stiga, joola, tibhar, butterfly, double eagle, donic, dhs, double fish, cornilleau, kettler, nextsist, katana, power smash, power spin, tournament, olympus, killerspin, dunlop, adidas, xiom, friendship
melayani wilayah , Gambir, Kebon Kelapa, Petojo Utara, Duri Pulo, Cideng, Petojo Selatan, Bendungan Hilir, Karet Tengsin, Tanah Abang, Kebon Melati, Kebon Kacang, Kampung Bali, Petamburan, Gelora, Menteng, Pegangsaan, Cikini, Kebon Sirih, Gondangdia, Senen, Kwitang, Kenari, Paseban, Kramat, Bungur, Cempaka Putih Timur, Cempaka Putih Barat, Galur, Tanah Tinggi, Kampung Rawa, Johar Baru, Rawasari, Gunung Sahari Selatan, Kemayoran, Kebon Kosong, Cempaka Baru, Harapan Mulya, Sumur Batu, Serdang, Utan Panjang, Pasar Baru, Gunung Sahari Utara, Mangga Dua Selatan, Karang Anyar, Sawah Besar, Kartini, Pinangsia, Glodok, Keagungan, Krukut, Tamansari, Maphar, Tangki, Mangga Besar, jakarta, bogor, depok, tangerang, bekasi
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Enviro...SaikiranReddy Sama
In Dynamic Resource Allocation, WE PRESENT A SYSTEM THAT USES VIRTUALIZATION TECHNOLOGY TO ALLOCATE DATA CENTER RESOURCES DYNAMICALLY.
WE INTRODUCE THE CONCEPT OF “SKEWNESS”.
And BY MINIMIZING SKEWNESS, WE CAN COMBINE DIFFERENT TYPES OF WORKLOADS NICELY AND IMPROVE THE OVERALL UTILIZATION OF SERVER RESOURCES.
WE DEVELOP A SET OF HEURISTICS THAT PREVENT OVERLOAD IN THE SYSTEM EFFECTIVELY WHILE SAVING ENERGY USED.
Dynamic resource Allocation using Virtual Machines For Cloud Computing
Dynamic resource allocation using virtual machines for cloud computing enviro...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
A brief discussion about Cloud computing for a beginner, you can get a clear idea about cloud computing from this slides.Also, discuss cloudsim simulator.
dynamic resource allocation using virtual machines for cloud computing enviro...Kumar Goud
Abstract—Cloud computing allows business customers to scale up and down their resource usage based on needs., we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of “skewness” to measure the unevenness in the multidimensional resource utilization of a server. By minimizing imbalance, we will mix completely different of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
Index Terms—Cloud computing, resource management, virtualization, green computing.
I presented "Cloudsim & Green Cloud" in First National Workshop of Cloud Computing at Amirkabir University on 31st October and 1st November, 2012.
Enjoy it!
08569833381 meja tenis meja murah waterproofEdi Sunarso
sedia:
nittaku, stiga, joola, tibhar, butterfly, double eagle, donic, dhs, double fish, cornilleau, kettler, nextsist, katana, power smash, power spin, tournament, olympus, killerspin, dunlop, adidas, xiom, friendship
melayani wilayah , Gambir, Kebon Kelapa, Petojo Utara, Duri Pulo, Cideng, Petojo Selatan, Bendungan Hilir, Karet Tengsin, Tanah Abang, Kebon Melati, Kebon Kacang, Kampung Bali, Petamburan, Gelora, Menteng, Pegangsaan, Cikini, Kebon Sirih, Gondangdia, Senen, Kwitang, Kenari, Paseban, Kramat, Bungur, Cempaka Putih Timur, Cempaka Putih Barat, Galur, Tanah Tinggi, Kampung Rawa, Johar Baru, Rawasari, Gunung Sahari Selatan, Kemayoran, Kebon Kosong, Cempaka Baru, Harapan Mulya, Sumur Batu, Serdang, Utan Panjang, Pasar Baru, Gunung Sahari Utara, Mangga Dua Selatan, Karang Anyar, Sawah Besar, Kartini, Pinangsia, Glodok, Keagungan, Krukut, Tamansari, Maphar, Tangki, Mangga Besar, jakarta, bogor, depok, tangerang, bekasi
Berisi :
1. Pengertian lembaga keuangan
2. Macam macam lembaga keuangan
3. Pengertian Bank
4. Macam macam bank dan pengertiannya
5. produk perbankan
6. jasa jasa perbankan
7. manfaat menabung di bank
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Collaboration in multicloud computing...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
A NOVEL APPROACH FOR SECURE ROUTING THROUGH BGP USING SYMMETRIC KEYIJNSA Journal
The Border Gateway Protocol (BGP) is the path vector routing protocol that connects different
autonomous systems.. These ASes have unique integer numbers which assign by IANA organization. The
traditional BGP protocol is not sufficient to provide security and authentication for AS path and
verification of AS number ownership as well as network IP prefix. The BGP remains vulnerable to various
types of misconfiguration by users and attacks. Many secure BGP algorithms have been proposed but
complexity of algorithm and attack on that models still remain open problem. In this paper, we propose an
efficient model for SBGP; initially establish trust relationship between BGP peers. In this process BGP use
TCP protocol for reliable communication. The BGP routers will attempt to create secure BGP session by
exchanging BGP Open messages. During this Open messages master BGP router generate private key with
help of cyclic shifting of ASCII of password called cyclic shift algorithm. Then hash of this private key send
towards neighbour. Instead of key exchange, we use hashing algorithm, we generate hash of only key
through SHA-1. This hash code for private key sent with Open messages during session establishment.
When this Open messages receive by neighbor BGP routers, first it generate key using same password with
same algorithm & generate hash code for same and then compare both hash code. If it matches then
establish secure session with master BGP router & accept the Autonomous system number which is sent by
master router during Open Messages. In this manner both BGP speakers make trust relationship between
each other & then exchange route UPDATE within secure channel. If hash code at receiver end does not
match then simply receiving BGP router discard Open messages and does not make connection with
unauthorized AS number. If malicious router wants to inject false route or false ip prefix then it does not
create secure session by lack of secure private key. So malicious router does not participate in above BGP
routing process.
EVALUATING THE PERFORMANCE OF THE SECURE BLOCK PERMUTATION IMAGE STEGANOGRAPH...IJNSA Journal
Recently, a new secure steganography algorithm has been proposed, namely, the secure Block Permutation
Image Steganography (BPIS) algorithm. The new algorithm consists of five main steps, these are: convert
the secret message to a binary sequence, divide the binary sequence into blocks, permute each block using
a key-based randomly generated permutation, concatenate the permuted blocks forming a permuted binary
sequence, and then utilize a plane-based Least-Significant-Bit (LSB) approach to embed the permuted
binary sequence into BMP image file format. The performance of algorithm was given a preliminary
evaluation through estimating the PSNR (Peak Signal-to-Noise Ratio) of the stego image for limited
number of experiments comprised hiding text files of various sizes into BMP images. This paper presents a
deeper algorithm performance evaluation; in particular, it evaluates the effects of length of permutation
and occupation ratio on stego image quality and steganography processing time. Furthermore, it evaluates
the algorithm performance for concealing different types of secret media, such as MS office file formats,
image files, PDF files, executable files, and compressed files.
JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Dynamic resource allocation using virtu...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Virtualization Technology using Virtual Machines for Cloud ComputingIJMER
Cloud computing is the delivery of computing and storage capacity as a service to a community of end users. The name “cloud computing” comes from the use of a cloud-shaped symbol as an abstraction for the complex infrastructure it contains in system diagrams. Cloud computing entrusts services with a user's software, data and computation over a network. End users access cloud-based applications through a web browser or mobile application or a light-weight desktop while the business software and user's data are stored on servers at a remote location. Proponents claim that cloud computing environment allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and enables IT industry to more rapidly adjust resources to meet fluctuating and unpredictable business demand. In this paper, we present a system that uses virtualization technology to allocate the data center resources dynamically based on the application demands and support green computing by optimizing the number of servers in use. This method multiplexes virtual to physical resources adaptively based on the changing demand. We use the concept of skewness metric to combine virtual machines with different resource characteristics appropriately so that the capacities of servers are well utilized.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Automatic scaling of internet appli...IEEEMEMTECHSTUDENTPROJECTS
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Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
A Study on Replication and Failover Cluster to Maximize System UptimeYogeshIJTSRD
Different types of clients over the globe uses Cloud services because cloud computing involves various features and advantages such as building cost effectives solutions for business, scale resources up and down according to the current demand and many more. But from the cloud provider point of view, there are many challenges that need to be faced in order to ensure a hassle free service delivery to the clients. One such problem is to maintain high availability of services. This project aims at presenting a high available HA solution for business continuity and disaster recovery through configuration of various other services such as load balancing, elasticity and replication. Miss Pratiksha Bhagawati | Mrs. Priya N "A Study on Replication and Failover Cluster to Maximize System Uptime" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41249.pdf Paper URL: https://www.ijtsrd.comcomputer-science/other/41249/a-study-on-replication-and-failover-cluster-to-maximize-system-uptime/miss-pratiksha-bhagawati
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Dynamic resource allocation using virtual machines for cloud computing environment
1. CLOUING
Dynamic Resource Allocation Using Virtual Machines for Cloud
Computing Environment
ABSTRACT:
Cloud computing allows business customers to scale up and down their resource usage based on
needs. Many of the touted gains in the cloud model come from resource multiplexing through
virtualization technology. In this paper, we present a system that uses virtualization technology
to allocate data center resources dynamically based on application demands and support green
computing by optimizing the number of servers in use. We introduce the concept of “skewness”
to measure the unevenness in the multidimensional resource utilization of a server. By
minimizing skewness, we can combine different types of workloads nicely and improve the
overall utilization of server resources. We develop a set of heuristics that prevent overload in
the system effectively while saving energy used. Trace driven simulation and experiment results
demonstrate that our algorithm achieves good performance.
EXISTING SYSTEM:
Virtual machine monitors (VMMs) like Xen provide a mechanism for mapping virtual
machines (VMs) to physical resources. This mapping is largely hidden from the cloud users.
Users with the Amazon EC2 service, for example, do not know where their VM instances run.
It is up to the cloud provider to make sure the underlying physical machines (PMs) have
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2. sufficient resources to meet their needs. VM live migration technology makes it possible to
change the mapping between VMs and PMs While applications are running. The capacity of
PMs can also be heterogeneous because multiple generations of hardware coexist in a data
center.
DISADVANTAGES OF EXISTING SYSTEM:
A policy issue remains as how to decide the mapping adaptively so that the resource
demands of VMs are met while the number of PMs used is minimized.
This is challenging when the resource needs of VMs are heterogeneous due to the diverse
set of applications they run and vary with time as the workloads grow and shrink. The
two main disadvantages are overload avoidance and green computing.
PROPOSED SYSTEM:
In this paper, we present the design and implementation of an automated resource management
system that achieves a good balance between the two goals. Two goals are overload avoidance
and green computing.
1. Overload avoidance: The capacity of a PM should be sufficient to satisfy the resource
needs of all VMs running on it. Otherwise, the PM is overloaded and can lead to
degraded performance of its VMs.
2. Green computing: The number of PMs used should be minimized as long as they can
still satisfy the needs of all VMs. Idle PMs can be turned off to save energy.
ADVANTAGES OF PROPOSED SYSTEM:
We make the following contributions:
3. We develop a resource allocation system that can avoid overload in the system
effectively while minimizing the number of servers used.
We introduce the concept of “skewness” to measure the uneven utilization of a server. By
minimizing skewness, we can improve the overall utilization of servers in the face of
multidimensional resource constraints.
We design a load prediction algorithm that can capture the future resource usages of
applications accurately without looking inside the VMs. The algorithm can capture the
rising trend of resource usage patterns and help reduce the placement churn significantly.
SYSTEM ARCHITECTURE:
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
4. Processor - Pentium –IV
Speed - 1.1 Ghz
RAM - 256 MB(min)
Hard Disk - 20 GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
SOFTWARE CONFIGURATION:-
Operating System : Windows XP
Programming Language : JAVA
Java Version : JDK 1.6 & above.
REFERENCE:
Zhen Xiao, Senior Member, IEEE, Weijia Song, and Qi Chen-“Dynamic Resource Allocation
Using Virtual Machines for Cloud Computing Environment”- IEEE TRANSACTIONS ON
PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 24, NO. 6, JUNE 2013.