Distributed computing

According to the NIST (National Institute for Standards and Technology), Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud computing refers to the practice of utilizing a network of remote servers hosted on the Internet to store, manage

REVIEW OF RELATED LITERATURE The services and solutions that are stored and saved and which can be brought into substantial period over internet are cloud services. It is a convey model of computing services over the internet. For example if we take a web-based mail, previously we used to send an email and receive it through a program running on the PC. And when the Hot-mail came into existence an email is carried out into the cloud. So these emails which are stored and processed through a server

Exploiting Cloud Computing for Smart Grid Applications: A Review Aditya Bhardwaj ME (CSE) Student Computer Science Department NITTTR Chandigarh, India adityaform@gmail.com Dr. Maitreyee Dutta Professor & Head Computer Science Department NITTTR Chandigarh, India d_maitreyee@yahoo.co.in Amit Doegar Assistant Professor Computer Science Department NITTTR Chandigarh, India amit@nitttrchd.ac.in Abstract—To meet the Electric Power demands of a fast expanding economy, smart grid (SG) are expected

Simranjeet Kaur UTA ID: 1001237306 Non-cooperative, Semi-cooperative, and Cooperative Games-based Grid Resource Allocation Straightforward access to large-scale distributed computational assets is provided by computational Grids. With the help of their size and geographic dissemination they help to create large computing centers. Several simulation studies are performed for evaluating the mechanisms to allocate resources in a Grid. There are three mechanisms to allocate resources in a Grid

Part A: Big data is a term to explain large complex data set, and big data is challenging the traditional data handling method. The big data itself is useless, but after processed and analyzed the big data would generate valuable information. This article would discuss relevant technologies and areas in the big data age. 1. IoT: 1.1. Introduction to IoT Figure 1. In IoT things are able to connect with each other through internet. The internet of Things (IOT) is an important part of new generation

Faculty of Arts, Environment and Technology School of Computing, Creative Technologies & Engineering Final Year Production Project: Research Report Enhancing Cloud Based Networks Pritesh Yadav C3353243 P.Yadav5966@student.leedsbeckett.ac.uk BSc (Hons) Computing Abstract The scope of this report is to explore the performance problems within cloud based networks and how to improve it through quality of service (QoS). There are a wide variety of issues and problems discussed such as latency, accessing

of the internet, people in computing fields have seek to find storage solutions that could provide users and organizations with capabilities to store and process their data distant from end-uses. Since 2000s, cloud computing has come into existence, later on, became business feasible through the observation that organizations start to substitute from self-owned hardware and software to subscription mode based models. Thus, we’re currently on the shift to cloud computing that may cause a dramatic growth

Abstract: Providing security in a distributed system is important as cloud computing provides variety of convenient services. IDS implementation in cloud requires an efficient, scalable and a constructive approach. Many Network-based intrusion detection systems(NIDS) are used for the reception of packets from the cloud, but those systems possess lower detection rate, high false positive rate and they fail to resist single point attack. I would like to propose one method which I encountered and found

complex, virtualized, distributed, and diverse - in effect the data center has lost its walls - but organizations like USCIS need to innovate and exert the same control over this virtualized, distributed world without walls as they would exert over prior models of IT. Our years of experience have taught us Two areas of innovation the Team AC4S can lead USCIS into the future are the Software Defined Data Center and Cognitive Computing. Artificial Intelligence (Cognitive Computing) in the Data Center

I. Introduction A Computing history[1] began with the centralized computing and followed with Client Server Computing.,furthermore, took after with Client Server Computing ,Web Computing, and Pervasive/Ubiquitious computing applications are found to work in an open, dynamic, and adaptable condition also, have enough flexibility in choice and use of administrations whenever and put. The high impulse and heterogeneity of pervasive computing incorporate self-versatile applications[2] that are fundamental