A Survey on Recent Developments in Cloud Based Systems
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Emerging Issues & Challenges in Cloud Computing—A Hybrid
Journal of Software Engineering and Applications, 2012, 5, 923-937 923 http://dx.doi.org/10.4236/jsea.2012.531107 Published Online November 2012 (http://www.SciRP.org/journal/jsea) Emerging Issues & Challenges in Cloud Computing— A Hybrid Approach Yaser Ghanam, Jennifer Ferreira, Frank Maurer Department of Computer Science, University of Calgary, Calgary, Canada. Email: [email protected] Received October 16th, 2012; revised November 17th, 2012; accepted November 26th, 2012 ABSTRACT As cloud computing continues to gain more momentum in the IT industry, more issues and challenges are being re- ported by academics and practitioners. In this paper, we aim to attain an understanding of the types of issues and chal- lenges that have been emerging over the past five years and identify gaps between the focus of the literature and what practitioners deem important. A systematic literature review as well as interviews with experts have been conducted to answer our research questions. Our findings suggest that researchers have been mainly focusing on issues related to security and privacy, infrastructure, and data management. Interoperability across different service providers has also been an active area of research. Despite the significant overlap between the topics being discussed in the literature and the issues raised by the practitioners, our findings show that some issues and challenges that practitioners consider im- portant are understudied such as software related issues, and challenges pertaining to learning fast-evolving technologies. Keywords: Cloud Computing; Issues; Challenges; Systematic Literature Review 1. Introduction RQ2. How has the interest in different types of issues and challenges evolved over the past five years? With unprecedented adoption in industry over the past RQ3. -
Building Your Hybrid Cloud Strategy with AWS Ebook
Building Your Hybrid Cloud Strategy with AWS eBook A Guide to Extending and Optimizing Your Hybrid Cloud Environment Contents Introduction 3 Hybrid Cloud Benefits 4 Common AWS Hybrid Cloud Workloads 6 Key AWS Hybrid Cloud Technologies and Services 6 VMware Cloud on AWS 18 AWS Outposts: A Truly Consistent Hybrid Experience 21 Becoming Migration Ready 23 Hybrid Cloud Enablement Partners 24 Conclusion 26 Further Reading and Key Resources 27 © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Introduction Optimizing IT Across Cloud and On-Premises Environments Public sector organizations continue to do more with less, find ways to innovate and bring new ideas to their organizations while dealing with security and maintaining mission-critical legacy systems. Evolving cloud capabilities are transforming the IT landscape for many public sector organizations, some use cases a hybrid cloud approach can help ease and accelerate a path to modernization and cloud adoption. For some use cases a hybrid cloud approach became a more feasible path to IT modernization and cloud adoption. For example, some customers have applications that require the lowest network latency possible, or they already achieve consistent and predicable performance in an on- premises environment, but want to use new cloud tools to enhance the application (e.g. Enterprise Resource Planning systems, real-time sensor data processing, industrial automation and transaction processing). Some customers may encounter unique challenges such as federal regulations associated with data residency, or limitations on their use of the cloud. A hybrid cloud (the use of both on-premises and cloud resources), allows IT organizations to optimize the performance and costs of every application, project and system in either the cloud, on-premises datacenters, or a combination of both. -
Magic Quadrant for Enterprise High-Productivity Application Platform As a Service
This research note is restricted to the personal use of [email protected]. Magic Quadrant for Enterprise High- Productivity Application Platform as a Service Published: 26 April 2018 ID: G00331975 Analyst(s): Paul Vincent, Van Baker, Yefim Natis, Kimihiko Iijima, Mark Driver, Rob Dunie, Jason Wong, Aashish Gupta High-productivity application platform as a service continues to increase its footprint across enterprise IT as businesses juggle the demand for applications, digital business requirements and skill set challenges. We examine these market forces and the leading enterprise vendors for such platforms. Market Definition/Description Platform as a service (PaaS) is application infrastructure functionality enriched with cloud characteristics and offered as a service. Application platform as a service (aPaaS) is a PaaS offering that supports application development, deployment and execution in the cloud. It encapsulates resources such as infrastructure. High- productivity aPaaS (hpaPaaS) provides rapid application development (RAD) features for development, deployment and execution — in the cloud. High-productivity application platform as a service (hpaPaaS) solutions provide services for declarative, model-driven application design and development, and simplified one-button deployments. They typically create metadata and interpret that metadata at runtime; many allow optional procedural programming extensions. The underlying infrastructure of these solutions is opaque to the user as they do not deal with servers or containers directly. The rapid application development (RAD) features are often referred to as "low-code" and "no-code" support. These hpaPaaS solutions contrast with those for "high-control" aPaaS, which need professional programming — "pro-code" support, through third-generation languages (3GLs) — and provide transparent access to the underlying infrastructure. -
An Introduction to Cloud Databases a Guide for Administrators
Compliments of An Introduction to Cloud Databases A Guide for Administrators Wendy Neu, Vlad Vlasceanu, Andy Oram & Sam Alapati REPORT Break free from old guard databases AWS provides the broadest selection of purpose-built databases allowing you to save, grow, and innovate faster Enterprise scale at 3-5x the performance 14+ database engines 1/10th the cost of vs popular alternatives - more than any other commercial databases provider Learn more: aws.amazon.com/databases An Introduction to Cloud Databases A Guide for Administrators Wendy Neu, Vlad Vlasceanu, Andy Oram, and Sam Alapati Beijing Boston Farnham Sebastopol Tokyo An Introduction to Cloud Databases by Wendy A. Neu, Vlad Vlasceanu, Andy Oram, and Sam Alapati Copyright © 2019 O’Reilly Media Inc. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com). For more infor‐ mation, contact our corporate/institutional sales department: 800-998-9938 or [email protected]. Development Editor: Jeff Bleiel Interior Designer: David Futato Acquisitions Editor: Jonathan Hassell Cover Designer: Karen Montgomery Production Editor: Katherine Tozer Illustrator: Rebecca Demarest Copyeditor: Octal Publishing, LLC September 2019: First Edition Revision History for the First Edition 2019-08-19: First Release The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. An Introduction to Cloud Databases, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. The views expressed in this work are those of the authors, and do not represent the publisher’s views. -
CLOUD COMPUTING up - Coming Era in IT Punam Assistant Professor, Department of Computer Science, University College Miranpur, Patiala
TRJ VOL. 2 ISSUE 6 NOV-DEC 2016 ISSN: 2454-7301 (PRINT) | ISSN: 2454-4930 (ONLINE) CLOUD COMPUTING UP - Coming Era in IT Punam Assistant Professor, Department of Computer Science, University College Miranpur, Patiala Abstract- The Cloud computing is a term which is a set of Remotely hosted: Services or data are hosted on remote technologies that allows computing applications and data to systems which mean someone else’s infrastructure. be visible as a set of services from a group of essential Omnipresent: Services or data are available from resources. The establishment of cloud computing comprises anywhere. of data centres (servers, storage, networking), the business Commodified: The result is a utility computing model applications and middleware, virtualization software and for which is equivalent to traditional that of traditional sure operating systems. The cloud computing infrastructure utilities, like gas and electricity. You pay for what you consists of services that are offered up and delivered would like. through data centres that can be accessed from anywhere in II. CLOUD COMPUTING ISSUES: the world. Cloud computing is very much beneficial for businesses now a days because of its valuable features. It is a) Privacy well suited for small organizations where there is budget or Privacy is the key issue that should be kept in mind while infrastructure limitation. The key idea behind this new adopting cloud computing. In cloud computing the private information sharing technology is virtualization which data of a company that was stored in its data centres moves reduces the need to install hardware on each and every into a public cloud which is open for everyone. -
Security of Cloud Computing in the Iot Era
future internet Article Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era Michele De Donno 1 , Alberto Giaretta 2, Nicola Dragoni 1,2 and Antonio Bucchiarone 3,∗ and Manuel Mazzara 4,∗ 1 DTU Compute, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; [email protected] (M.D.D.); [email protected] (N.D.) 2 Centre for Applied Autonomous Sensor Systems Orebro University, 701 82 Orebro, Sweden; [email protected] 3 Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy 4 Institute of Software Development and Engineering, Innopolis University, Universitetskaya St, 1, 420500 Innopolis, Russian Federation * Correspondence: [email protected] (A.B.); [email protected] (M.M.) Received: 28 January 2019; Accepted: 30 May 2019; Published: 4 June 2019 Abstract: The Internet of Things (IoT) is rapidly changing our society to a world where every “thing” is connected to the Internet, making computing pervasive like never before. This tsunami of connectivity and data collection relies more and more on the Cloud, where data analytics and intelligence actually reside. Cloud computing has indeed revolutionized the way computational resources and services can be used and accessed, implementing the concept of utility computing whose advantages are undeniable for every business. However, despite the benefits in terms of flexibility, economic savings, and support of new services, its widespread adoption is hindered by the security issues arising with its usage. From a security perspective, the technological revolution introduced by IoT and Cloud computing can represent a disaster, as each object might become inherently remotely hackable and, as a consequence, controllable by malicious actors. -
Price-Performance in Modern Cloud Database Management Systems
Price-Performance in Modern Cloud Database Management Systems McKnight Consulting Group December 2019 www.m c k n i g h t c g . c o m Executive Summary The pace of relational analytical databases deploying in the cloud are at an all-time high. And industry trends indicate that they are poised to expand dramatically in the next few years. The cloud is a disruptive technology, offering elastic scalability vis-à-vis on-premises deployments, enabling faster server deployment and application development, and allowing less costly storage. The cloud enables enterprises to differentiate and innovate with these database systems at a much more rapid pace than was ever possible before. For these reasons and others, many companies have leveraged the cloud to maintain or gain momentum as a company. The cost profile options for these cloud databases are straightforward if you accept the defaults for simple workload or POC environments. However, it can be enormously expensive and confusing if you seek the best price-performance for more robust, enterprise workloads and configurations. Initial entry costs and inadequately scoped POC environments can artificially lower the true costs of jumping into a cloud data warehouse environment. Cost predictability and certainty only happens when the entire picture of a production data warehouse environment is considered; all workloads, a true concurrency profile, an accurate assessment of users and a consideration of the durations of process execution. Architects and data warehouse owners must do their homework to make the right decision. With data warehouses, it is a matter of understanding the ways they scale, handle performance issues and concurrency. -
The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform
International Journal of Computer Applications (0975 – 8887) Volume 177 – No. 35, February 2020 The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform Silvana Greca Anxhela Kosta Department of Informatics Department of Informatics Faculty of Natural Sciences Faculty of Natural Sciences University of Tirana University of Tirana Tirana, Albania Tirana, Albania ABSTRACT Storing the unstructured and complex data in traditional SQL A massive amount of complex and huge digital data storing is database is very difficult[13]. For this reason, it was necessary caused due to the development of intelligent environments to create many types of database. NoSQL databases are useful and cloud computing. Today the organizations are using for applications that deal with very large semi-structured and Google Cloud platform to store and retrieve of all amount of unstructured data. NoSQL databases do not require a default their data at any time. Google offers database storage schema associated with the data. The purpose of the NoSQL like:Cloud Datastore for NoSQL non-relational database and databases is to increase the performance and scalability of a Cloud SQL for MySQL fully relational database. During specific application and service. years, enterprise organizations have accumulated growing Nowadays, e-commerce platform is very popular and is going stores of data, running analytics on that data to gain value through a transformation driven by customers who expect a from large information sets, and developing applications to seamless experience between online and in store. As a result, manage data exclusively. Traditional SQL databases are used many retailers are turning to cloud technologies in order to for storing and managing content of structured data, but with meet these needs. -
Database Solutions on AWS
Database Solutions on AWS Leveraging ISV AWS Marketplace Solutions November 2016 Database Solutions on AWS Nov 2016 Table of Contents Introduction......................................................................................................................................3 Operational Data Stores and Real Time Data Synchronization...........................................................5 Data Warehousing............................................................................................................................7 Data Lakes and Analytics Environments............................................................................................8 Application and Reporting Data Stores..............................................................................................9 Conclusion......................................................................................................................................10 Page 2 of 10 Database Solutions on AWS Nov 2016 Introduction Amazon Web Services has a number of database solutions for developers. An important choice that developers make is whether or not they are looking for a managed database or if they would prefer to operate their own database. In terms of managed databases, you can run managed relational databases like Amazon RDS which offers a choice of MySQL, Oracle, SQL Server, PostgreSQL, Amazon Aurora, or MariaDB database engines, scale compute and storage, Multi-AZ availability, and Read Replicas. You can also run managed NoSQL databases like Amazon DynamoDB -
Performance Evaluation of Nosql Databases As a Service with YCSB: Couchbase Cloud, Mongodb Atlas, and AWS Dynamodb
Performance Evaluation of NoSQL Databases as a Service with YCSB: Couchbase Cloud, MongoDB Atlas, and AWS DynamoDB This 24-page report evaluates and compares the throughput and latency of Couchbase Cloud, MongoDB Atlas, and Amazon DynamoDB across four varying workloads in three different cluster configurations. By Artsiom Yudovin, Data Engineer Uladzislau Kaminski, Senior Software Engineer Ivan Shryma, Data Engineer Sergey Bushik, Lead Software Engineer Q4 2020 Table of Contents 1. Executive Summary 3 2. Testing Environment 3 2.1 YCSB instance configuration 3 2.2 MongoDB Atlas cluster configuration 4 2.3 Couchbase Cloud cluster configuration 5 2.4 Amazon DynamoDB cluster configuration 6 2.5 Prices 6 2.5.1 Couchbase costs 7 2.5.2 MongoDB Atlas costs 7 2.5.3 Amazon DynamoDB costs 8 3. Workloads and Tools 8 3.1 Workloads 8 3.2 Tools 8 4. YCSB Benchmark Results 10 4.1 Workload A: The update-heavy mode 10 4.1.1 Workload definition and model details 10 4.1.2 Query 10 4.1.3 Evaluation results 11 4.1.4 Summary 12 4.2 Workload E: Scanning short ranges 12 4.2.1 Workload definition and model details 12 4.2.3 Evaluation results 14 4.2.4 Summary 15 4.3 Pagination Workload: Filter with OFFSET and LIMIT 15 4.3.1 Workload definition and model details 15 4.3.2 Query 17 4.3.3 Evaluation results 17 4.3.4 Summary 18 4.4 JOIN Workload: JOIN operations with grouping and aggregation 18 4.4.1 Workload definition and model details 18 4.4.2 Query 19 4.4.3 Evaluation results 20 4.4.4 Summary 20 5. -
Distributed, Concurrent, and Independent Access to Encrypted Cloud Databases
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25, NO. 2, FEBRUARY 2014 437 Distributed, Concurrent, and Independent Access to Encrypted Cloud Databases Luca Ferretti, Michele Colajanni, and Mirco Marchetti Abstract—Placing critical data in the hands of a cloud provider should come with the guarantee of security and availability for data at rest, in motion, and in use. Several alternatives exist for storage services, while data confidentiality solutions for the database as a service paradigm are still immature. We propose a novel architecture that integrates cloud database services with data confidentiality and the possibility of executing concurrent operations on encrypted data. This is the first solution supporting geographically distributed clients to connect directly to an encrypted cloud database, and to execute concurrent and independent operations including those modifying the database structure. The proposed architecture has the further advantage of eliminating intermediate proxies that limit the elasticity, availability, and scalability properties that are intrinsic in cloud-based solutions. The efficacy of the proposed architecture is evaluated through theoretical analyses and extensive experimental results based on a prototype implementation subject to the TPC-C standard benchmark for different numbers of clients and network latencies. Index Terms—Cloud, security, confidentiality, SecureDBaaS, database Ç 1INTRODUCTION N a cloud context, where critical information is placed in SecureDBaaS that supports the execution -
Database Security in the Cloud
Database security in the cloud I M A L S A K H I Examensarbete inom Datateknik Grundnivå, 15 hp 1 Stockholm 2012 Detta examensarbete har utförts i samarbete med Försvarsmakten Handledare på Försvarsmakten: Ingvar Ståhl Databassäkerhet i molnet Database security in the cloud I m a l S a k h i Examensarbete inom Datorteknik Grundnivå, 15 hp Handledare på KTH: Magnus Brenning Examinator: Thomas Lindh Skolan för teknik och hälsa TRITA-STH 2012:51 Kungliga Tekniska Högskolan Skolan för teknik och hälsa 136 40 Handen, Sweden http://www.kth.se/sth ii Abstract The aim of the thesis is to get an overview of the database services available in cloud computing environment, investigate the security risks associated with it and propose the possible countermeasures to minimize the risks. The thesis also analyzes two cloud database service providers namely; Amazon RDS and Xeround. The reason behind choosing these two providers is because they are currently amongst the leading cloud database providers and both provide relational cloud databases which makes the comparison useful. The focus of the analysis has been to provide an overview of their database services as well as the available security measurements. A guide has been appended at the end of the report to help with technical configurations of database migration and connecting applications to the databases for the two mentioned cloud database providers. The thesis has been conducted on behalf of the Swedish Armed Forces and after reviewing the security risks associated with cloud databases, it is recommended that the Armed Forces should refrain from public cloud database services.