RESEARCH PAPERS

ns2 and cloud computing



Enhancing discrete event network simulators with analytical network cloud models
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We introduce a set of suitable analytical network cloud models and also de- scribe how these models can be implemented in the ns-2  The integration of these models into ns2 is explained in Sec- tion 5. Some preliminary evaluation results are shown in Section 6. Finally 

Study of Comparison of Various Cloud Computing Simulators
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 Green Cloud Simulator Green Cloud Simulator is an extension of NS2 simulator.  iii Green Cloud Simulator – Green Cloud Simulator is actually an augmentation to NS2 simulator which is completely developed for the study of cloud computing. 

Performance Analysis of Cloud Computing for Distributed Client
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 Cloudsim is a network simulation based on NS2 (Network Simulation2). Cloudsim would speed up the development of new resource allocation policies and scheduling algorithms for cloud computing . Cloud analyst is use for simulation of different web based application 

Data Dissemination Model for IP cloud through Wireless Sensor Network
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Data Dissemination Model for IP Cloud through Wireless Sensor Network 50  IV. RESULT ANALYSIS The results are taken for different network scenario, analysis and comparison is done based on NS2 simulator. 

Dual Migration for Cloud Service
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 We utilize NS2 to conduct the simulation. The backbone network bandwidth is set to 1Gbps. the simulation parameters are shown in Table 1.We measure the synchronization time of different ser- vice progress for dual migration. Because the cloud service usage of each user 

Energy-efficient data replication in cloud computing datacenters
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GreenCloud is a cloud computing simulator which captures data center communication processes at the packet level. It is based on Ns2 simulation platform [41] which allows capturing realistic TCP/IP behavior in a large variety of network scenarios. 

On the Study of Different Approaches to Database Replication in the Cloud
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Cloud computing is becoming one of the most used paradigms to deploy highly available and scalable systems. 

Securing Cloud Servers against Flooding Based DDoS Attacks
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 A number of CBR flows try to overwhelm the Web servers as attack traffic. Figure 3 Cloud scenarios for simulation. Figure 4 DDoS traffic detected.  We tested the technique in the Internet-like network implemented on NS2 with over 100 nodes. 

Cloud computing is currently one of the most hyped information technology areas and has become one of the fastest growing segments in IT industry. Due to the flexibility, pay per use, elasticity, scalability, and other attributes promised by this paradigm, it gained the interest of large organizations and corporate for hosting their services onto the cloud. However, the ability to respond to security threats and events is listed as one of the main issues of concern in cloud computing.

Cloud computing allows us to scale up our servers and to serve a large number of requests for a service. The introduction of resource-rich cloud computing platforms, where users are charged based on the usage of the cloud’s resources, known as pay-as-you-use or utility computing, has transformed the Distributed Denial of Service (DDoS) attack problem in the cloud to a financial one. This new targets the cloud adopter’s economic resources, and is referred to as Economic Denial of Service or Sustainability (EDoS) attack.

Distributed Denial of Service is a type of attack that aims to make services or resources unavailable for indefinite amount of time by flooding it with useless traffic. The two main objectives of these attacks are, to exhaust computer resources (CPU time, Network bandwidth) so that it makes services unavailable to legitimate users. In a general DDoS attack, the attacker usually disguises or ‘spoofs’ the IP address section of a packet header in order to hide their identity from their victim. This makes it extremely difficult to track the source of the attack. IP trace back is a scheme that provides an effective way to trace the source of DDoS attacks to its point of origin.

Towards trusted cloud computing
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 We present the trusted cloud computing platform (TCCP) that provides a closed box execution environment by ex- tending the concept of trusted platform to an entire IaaS  1 ns1}TKp N , Ns}TKP TC 2.

A Review of Evaluation of Various Cloud Based Simulators
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 Progra- mming Lan- guage Support of TCP/IP Platf- orm Availa -bility Simu- lation Time Sup- port for MPI and work- flow Green Cloud C++/O Tcl Full NS2 Open Sourc e Ten of min- tues Not- Availa- ble CDO Sim Java Not- Availa- ble Not- Avail- able Not- Avail- able 

Study and Comparison of CloudSim Simulators in the Cloud Computing
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 KumarGaganjot Kaur , Study of Comparison of Various Cloud Computing Simulators, IITT College of EngineeringTechnology, 2nd National Conference in Intelligent Computing Communication, GCET Greater Noida, India [15] The Network Simulator Ns2, http://www.isi 

CloudNetSim-Simulation of Real-Time Cloud Computing Applications
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D. Kliazovich, P. Bouvry, and SU Khan. A packet-level simulator of energy- aware cloud computing

New Framework to Detect and Prevent Denial of Service Attack in Cloud Computing Environment
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 depend on a polynomial regression model, and several statistical measures have been used for performance evaluation, and NS2 has been  In [29] the author suggest using several computers working together hosted in a cloud to monitoring and analysis network traffic in same 

Research on security mechanism of distributed object storage system under cloud computing environment
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 Key words: cloud computing technology; distributed object storage system; security mechanism;

LTPC
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CPC COMPUTING ,AFFILIATED INSTITUTIONS ,annauniv.edu  UNIT V APPLICATION ISSUES 10 Concepts for working with wireless applications. WAP – WML - Mobile database – Content Management – Data synchronization Protocols – SyncML, SMIL – Network Simulators NS2, Glomosim – Case Study. TOTAL = 45 REFERENCES: 

Netshare: Virtualizing bandwidth within the cloud
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Usage Model for Internal Cloud Comput- ing We envisage the following use of network slicing for inter- nal cloud computing.  viii Page 9. 5 Implementation We have implemented NetShare by extending the existing link state routing protocol in NS2. 

Research of Video Data Management Based on Cloud Storage
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 We use NS2 as a simulator and the output bandwidth of the user nodes is [200, 600] Kb/sec, access bandwidth is [400, 1000] Kb/sec, server output bandwidth is 100 Mb/sec. Streaming media file playback time is 30 min in the data nodes of cloud store. 

Adaptive Data Transmission in the Cloud
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Therefore, our method makes as little a change as possible to the cloud infrastructure.  Based on extensive simulations using NS2, we find that ATCP benefits small flows significantly. Thus, delay-sensitive applications see the greatest improvements. 

Cloud Computing: Survey of different Utilization Techniques
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Optimization, June 2010.  [10] Al-Mejibli, I and Colley, M, Evaluating trans mission Time of Service

icloud research papers




iclouds–peer-to-peer information sharing in mobile environments
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We call this sphere or communication horizon an information cloud or iCloud (see Fig.  iHave-list (information have list or information goods) The iHave list holds all the information the user wants to contribute to the iCloud. 

iCloud: Visual QuickStart Guide
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Learn how to use Apple's iCloud service to share your content across all your devices. This indispensable guide to Apple's iCloud service walks you through how to share songs, photos, books, apps, files, email, contacts, and calendars across your PC, Mac, and iOS 

Ubiquitous apps: politics of openness in global mobile cultures
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CRC. [CrossRef] View all references). There are literal and technical coordinates of this conjuncture between smartphones and your data everywhere, made visible by Apple's iCloud announcement in June 2011. Apple's fully 

Interaction-based programming towards translucent clouds: position paper
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The cloud can then make scheduling, paging, and caching decisions accordingly, eg preferring those more active computations. Concretely, we propose a new object-oriented program- ming language, iCloud, for cloud computing. 

Apple races to keep users firmly wrapped in its cloud
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devices to access and enjoy their media – from the living room to the desktop to their pockets. No, it was not Steve Jobs, although this, in rudimentary form, is essentially what he came up with this week with the iCloud. Full 

Windows 8 QuickSteps
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 Page 4. innovative device. Customize your iPhone, make calls, video chat with FaceTime, take photos with the iSight camera, shoot HD video, listen to music, watch videos, create and manage your iTunes library, surf the Web, store and sync data on iCloud, and much more. 

Better briefing means better buildings
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 Stay in sync * sync your music, photos, videos, e-books, apps, e-mail, contacts, and calendars with iCloud.  How to text with iMessage. Advice on backing up your iTunes library with iCloud. How to set up and play a photo slide show. Secrets to longer battery life. 

Zengobi, Curio, Sleuth, and the Zengobi logo are either registered trademarks or trademarks of Zengobi, Inc. in the United States and/or other countries.
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Other company and product names mentioned herein are trademarks of their respective companies. Mention of thirdparty products is for informational purposes only and constitutes neither an endorsement nor a recommendation. Zengobi assumes no responsibility with 

iCloud You Cloud; He, She and It Cloud
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M Marinara ,if.ucf.edu Information literacy skills go hand in hand with other literacy skills, such as crafting arguments or producing robust textual and visual presentations. In a variety of specific contexts across the curriculum and in multiple disciplines, students are called upon to 


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