Do you want to publish a course? Click here

Analytical Study of Resource Allocation Algorithms in Cloud Computing

دراسة تحليلية لخوارزميات حجز الموارد في الحوسبة السحابية

1505   1   170   0 ( 0 )
 Publication date 2017
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

In this thesis an analytical study is done on existing cloud resource allocation strategies and a comparative study summarize them on the basis of technique used and objective as well as their advantage and disadvantage.

References used
Asha, N. , & Rao, G. R. (2013, July). A Review on Various Resource Allocation Strategies in Cloud Computing. International Journal of Emerging Technology and Advanced Engineering, 3(7), 177-183
Chang, F. , Ren, J. , & Viswanathan, R. (2010, 5-10 July). Optimal Resource Allocation in Clouds. Paper presented at IEEE 3rd International Conference on Cloud Computing, Miami, FL. Retrieved November 3, 2014 from IEEE Xplore. doi: 10.1109/CLOUD.2010.38
Endo, P. T. , Palhares, A. V. A. , Pereira, N. N. , Gonçalves, E. G. , Sadok, D., Kelner, J. & et al. (2011). Resource Allocation for Distributed Cloud: Concepts and Research Challenges. IEEE Network, 25(4), 42-46
rate research

Read More

With the huge development in the field of data storing and processing as well as the impending development of the internet, accessing information and resources is becoming faster, cheaper and more available. This has paved the way for a new develo pment in the world of computing, networks and operating systems, which is “Cloud Computing”. In this project, we present a solution for the problem of secure data sharing in a safe and dynamic way on Public Cloud. The process is done without re-encrypting the shared data or re-distributing keys as the case in most solutions so far. Also, include a step towards the completion of access control UCON, where we studied the ability for a user to delegate another user OWNER role and sharing data authorization.
This research aims to shed a light on the distinctive economic characteristics of water resources and to identify the reasons that led to increasing interest in studying these resources and their economics. depending on descriptive analytical meth od through characterization of what is and analyze it, The researcher is addressing the policies necessary to be followed for a successful allocation of water balances within the time periods, and define whether the water resources are to be considered as an economical good and whether they are subjected to market mechanisms, i.e. demand and supply. the research results pointed out to the fact that the water resource is a strategic vital resource and an economic good has a special nature which make it not subject to market mechanisms. this study is providing a number of proposals that emphasize the need to focus on the economics of water resources to attain the efficiency of resource exploitation, which, on the one hand, leads to achieving sustainability of this valuable resource, and on the other hand fulfill maintain the economic development.
Wireless sensor networks (WSNs) are often deployed by random bestrewing (airplane bestrewing for example). A majority of nodes cannot obtain their coordinate beforehand. Therefore, how to obtain the position information of unknown nodes, which is called localization problem, has become a hot topic in WSN. Without position information, WSN cannot work properly. Global Position System (GPS) is the most extensive and mature position system at present. But because the nodes usually have the shortcoming of high expenditure, large volume, high cost and require settled basal establishment, therefore, the GPS is inapplicable for the low-cost selfconfigure sensor networks, and also it is impossible to install GPS for each sensor node. In this paper, we will study localization mechanisms (which is not based on GPS) used in WSN, and will test the effectiveness of using MUSIC algorithm in determining the signal arrival angel depending on the SDMA- technology and ESPAR antenna.
This Paper Attempts to study the latest advancements in High Performance Computing Technologies, Which Provides suitable environments, Solid infrastructure, Software and Hardware Components, allowing Scientists and Researchers to solve Math, Biology, Machine Learning, Physics Simulations, and numerous other problems, Allowing significant breakthroughs in these fields.
Quantum computing as a promising technology that solves impossible problems in classical computation due to its exponential complexity, superiority, barriers, hardware and software tools, in addition to the state of the art and future vision.
comments
Fetching comments Fetching comments
Sign in to be able to follow your search criteria
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا