Cloud Computing Concepts: Part 2

Start Date: 06/02/2019

Course Type: Common Course

Course Link: https://www.coursera.org/learn/cloud-computing-2

Explore 1600+ online courses from top universities. Join Coursera today to learn data science, programming, business strategy, and more.

About Course

Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing. Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! Know how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required. The course also features interviews with leading researchers and managers, from both industry and academia. This course builds on the material covered in the Cloud Computing Concepts, Part 1 course.

Course Syllabus

Lesson 1: To coordinate machines in a distributed system, this module first looks at classical algorithms for electing a leader, including the Ring algorithm and Bully algorithm. We also cover how Google’s Chubby and Apache Zookeeper solve leader election. Lesson 2: This module covers solutions to the problem of mutual exclusion, which is important for correctness in distributed systems with shared resources. We cover classical algorithms, including Ricart-Agrawala’s algorithm and Maekawa’s algorithm. We also cover Google’s Chubby support for mutual exclusion.

Deep Learning Specialization on Coursera

Course Introduction

Cloud computing systems today, whether open-source or used inside companies, are built using a commo

Course Tag

Distributed Computing C++ Cloud Computing NoSQL

Related Wiki Topic

Article Example
Cloud computing Cloud computing also leverages concepts from utility computing to provide metrics for the services used. Such metrics are at the core of the public cloud pay-per-use models. In addition, measured services are an essential part of the feedback loop in autonomic computing, allowing services to scale on-demand and to perform automatic failure recovery. Cloud computing is a kind of grid computing; it has evolved by addressing the QoS (quality of service) and reliability problems. Cloud computing provides the tools and technologies to build data/compute intensive parallel applications with much more affordable prices compared to traditional parallel computing techniques.
IEEE Cloud Computing IEEE Cloud Computing continues to pursue efforts to provide cloud computing standards, advancement of cloud computing technologies, and to educate users on the benefits of cloud computing. As part of this ongoing effort, it offers a variety of activities, products, and services, including the IEEE Cloud Computing portal, conferences and events, continuing education courses, publications, standards, and the IEEE Intercloud Testbed platform for testing cloud computing interoperability.
IEEE Cloud Computing As part of its mandate, IEEE Cloud Computing is in the process of developing global cloud computing standards. In April 2011, it began working on the first IEEE cloud computing standards, IEEE P2301 and IEEE P2302. Both IEEE P2301, "Draft Guide for Cloud Portability and Interoperability Profile", and IEEE P2302, "Draft Standard for Intercloud Interoperability and Federation" address cloud interoperability, portability, and fragmentation.
IEEE Cloud Computing As part of the initiative's launch, two new cloud computing standards development projects were approved: IEEE P2301, Draft Guide for Cloud Portability and Interoperability Profile, and IEEE P2302, Draft Standard for Intercloud Interoperability and Federation (SIIF). With a growing need for greater cloud computing interoperability and federation, IEEE Cloud Computing focused its development activities and resources behind IEEE P2302 standard.
Cloud computing Cloud computing is the result of the evolution and adoption of existing technologies and paradigms. The goal of cloud computing is to allow users to take benefit from all of these technologies, without the need for deep knowledge about or expertise with each one of them. The cloud aims to cut costs, and helps the users focus on their core business instead of being impeded by IT obstacles. The main enabling technology for cloud computing is virtualization. Virtualization software separates a physical computing device into one or more "virtual" devices, each of which can be easily used and managed to perform computing tasks. With operating system–level virtualization essentially creating a scalable system of multiple independent computing devices, idle computing resources can be allocated and used more efficiently. Virtualization provides the agility required to speed up IT operations, and reduces cost by increasing infrastructure utilization. Autonomic computing automates the process through which the user can provision resources on-demand. By minimizing user involvement, automation speeds up the process, reduces labor costs and reduces the possibility of human errors. Users routinely face difficult business problems. Cloud computing adopts concepts from Service-oriented Architecture (SOA) that can help the user break these problems into services that can be integrated to provide a solution. Cloud computing provides all of its resources as services, and makes use of the well-established standards and best practices gained in the domain of SOA to allow global and easy access to cloud services in a standardized way.
Cloud computing Cloud computing exhibits the following key characteristics:
IEEE Cloud Computing IEEE Cloud Computing is a global initiative launched by IEEE to promote cloud computing, big data and related technologies, and to provide expertise and resources to individuals and enterprises involved in cloud computing.
Crypto cloud computing Cloud computing is a combination of IaaS, PaaS, SaaS. To construct a secure cloud computing system, security at infrastructure, service platforms and application software levels have to be studied for a secure cloud computing system. Information encryption is one of effective means to achieve cloud computing information security. Traditionally, information encryption focuses on specified stages and operations, such as data encryption. For cloud computing, a system level design has to be implemented.
Cloud computing The NIST's definition of cloud computing defines the service models as follows:
Cloud computing The National Institute of Standards and Technology's definition of cloud computing identifies "five essential characteristics":
Cloud computing essentially "[lacking] the economic model that makes cloud computing such an intriguing concept".
Cloud computing Cloud engineering is the application of engineering disciplines to cloud computing. It brings a systematic approach to the high-level concerns of commercialization, standardization, and governance in conceiving, developing, operating and maintaining cloud computing systems. It is a multidisciplinary method encompassing contributions from diverse areas such as systems, software, web, performance, information, security, platform, risk, and quality engineering.
Cloud Computing Manifesto The Cloud Computing Manifesto is a manifesto containing a "public declaration of principles and intentions" for cloud computing providers and vendors, annotated as "a call to action for the worldwide cloud community" and "dedicated belief that the cloud should be open". It follows the earlier development of the Cloud Computing Bill of Rights which addresses similar issues from the users' point of view.
Social cloud computing Social cloud computing, also peer-to-peer social cloud computing, is an area of computer science that generalizes cloud computing to include the sharing, bartering and renting of computing resources across peers whose owners and operators are verified through a social network or reputation system. It expands cloud computing past the confines of formal commercial data centers operated by cloud providers to include anyone interested in participating within the cloud services sharing economy. This in turn leads to more options, greater economies of scale, while bearing additional advantages for hosting data and computing services closer to the edge where they may be needed most.
Cloud computing Cloud computing is still a subject of research. A driving factor in the evolution of cloud computing has been Chief technology officers seeking to minimize risk of internal outages and mitigate the complexity of housing network and computing hardware in-house. Major cloud technology companies invest billions of dollars per year in cloud Research and Development. For example, in 2011 Microsoft committed 90 percent of its $9.6 billion R&D budget to its cloud. Research by investment bank Centaur Partners in late 2015 forecasted that SaaS revenue would grow from $13.5 billion in 2011 to $32.8 billion in 2016.
Cloud computing consulting Cloud computing consulting is both the industry and the practice of helping organizations utilize cloud computing to meet their business objectives.
Crypto cloud computing Crypto cloud computing is a new framework for cyber resource sharing. It protects data security and privacy. Well, in cloud environment, crypto cloud computing guarantees the information security and integrity during whole procedure. Security management of cloud computing can also be performed by authorizing the signatures of every element involved. What’s more, a user can retrieve all related resources using his QDK key.
Cloud computing architecture Cloud computing architecture refers to the components and subcomponents required for cloud computing. These components typically consist of a front end platform (fat client, thin client, mobile device), back end platforms (servers, storage), a cloud based delivery, and a network (Internet, Intranet, Intercloud). Combined, these components make up cloud computing architecture.
Mobile cloud computing MCC uses computational augmentation approaches (computations are executed remotely instead of on the device) by which resource-constraint mobile devices can utilize computational resources of varied cloud-based resources. In MCC, there are four types of cloud-based resources, namely distant immobile clouds, proximate immobile computing entities, proximate mobile computing entities, and hybrid (combination of the other three model). Giant clouds such as Amazon EC2 are in the distant immobile groups whereas cloudlet or surrogates are member of proximate immobile computing entities. Smartphones, tablets, handheld devices, and wearable computing devices are part of the third group of cloud-based resources which is proximate mobile computing entities.
Cloud computing In 2009, the availability of high-capacity networks, low-cost computers and storage devices as well as the widespread adoption of hardware virtualization, service-oriented architecture, and autonomic and utility computing led to a growth in cloud computing. Companies can scale up as computing needs increase and then scale down again as demands decrease. In 2013, it was reported that cloud computing had become a highly demanded service or utility due to the advantages of high computing power, cheap cost of services, high performance, scalability, accessibility as well as availability. Some cloud vendors are experiencing growth rates of 50% per year, but being still in a stage of infancy, it has pitfalls that need to be addressed to make cloud computing services more reliable and user friendly.