The document discusses mobile cloud computing trends and applications. It notes that mobile cloud computing involves storing data and processing outside mobile devices. This allows mobile devices to have richer capabilities. The document outlines several applications of mobile cloud computing including for enterprises, developers, healthcare, automotive, education, and consumer electronics. It also discusses challenges of mobile cloud computing like mobility constraints, bandwidth limitations, and security risks.
The document discusses mobile cloud computing, including its concepts, architecture, challenges, and applications. Mobile cloud computing extends cloud computing by storing and processing data and applications on remote servers accessible via mobile devices. It allows mobile devices to have their requirements reduced by offloading tasks to the cloud. Key challenges include limitations of mobile devices, communication quality, and dividing application services between mobile and cloud. Solutions involve virtualization, improving bandwidth and delivery times, and elastic application divisions. The document provides examples of mobile commerce, learning, healthcare and gaming applications of mobile cloud computing.
Mobile cloud computing combines mobile web and cloud computing to address limitations of the mobile web like limited storage, small screens, and unreliable browsers/connections. It takes data processing off mobile devices and into the cloud, creating a common platform across devices. While mobile cloud computing currently has under 1 billion subscribers, its potential is high given over 5 billion mobile subscribers globally, especially in Africa where it could provide widespread access to information and resources.
This presentation will give you some insight about Mobile Cloud Computing. This is an emerging technology and I provided basic details to explore this specific technology aligned with market leading products and their comparisons
Mobile cloud computing (MCC) at its simplest, refers to an infrastructure where both the data storage and data processing happen outside of the mobile device.
Mobile cloud computing (MCC) at its simplest, refers to an infrastructure where both the data storage and data processing happen outside of the mobile device.
Mobile cloud computing (MCC) at its simplest, refers to an infrastructure where both the data storage and data processing happen outside of the mobile device.
Mobile cloud computing (MCC) refers to an infrastructure where data storage and processing occur remotely on powerful centralized cloud servers, rather than locally on mobile devices. This alleviates issues like limited battery, storage, and bandwidth on mobile devices. MCC provides advantages like lower costs, greater scalability, reliability, and availability of data and applications stored in the cloud. Popular MCC applications include mobile commerce, healthcare, gaming and more. Key challenges include low bandwidth, service availability, and computation offloading in dynamic environments. Security issues involve protecting user privacy and securing data in the cloud.
This document summarizes mobile cloud computing. It defines mobile cloud computing as combining cloud computing, mobile computing, and wireless networks to provide rich computational resources to mobile users. It describes the advantages of mobile cloud computing in providing data storage, processing, and access from anywhere. It outlines the basic architecture and discusses hierarchical architectures using "cloudlets" to improve performance. It also discusses issues like limited mobile devices and connection quality, and proposes solutions like optimizing application distribution and developing network infrastructure around cloudlets.
The document discusses mobile cloud computing, including its concepts, architecture, challenges, and applications. Mobile cloud computing extends cloud computing by storing and processing data and applications on remote servers accessible via mobile devices. It allows mobile devices to have their requirements reduced by offloading tasks to the cloud. Key challenges include limitations of mobile devices, communication quality, and dividing application services between mobile and cloud. Solutions involve virtualization, improving bandwidth and delivery times, and elastic application divisions. The document provides examples of mobile commerce, learning, healthcare and gaming applications of mobile cloud computing.
Mobile cloud computing combines mobile web and cloud computing to address limitations of the mobile web like limited storage, small screens, and unreliable browsers/connections. It takes data processing off mobile devices and into the cloud, creating a common platform across devices. While mobile cloud computing currently has under 1 billion subscribers, its potential is high given over 5 billion mobile subscribers globally, especially in Africa where it could provide widespread access to information and resources.
This presentation will give you some insight about Mobile Cloud Computing. This is an emerging technology and I provided basic details to explore this specific technology aligned with market leading products and their comparisons
Mobile cloud computing (MCC) at its simplest, refers to an infrastructure where both the data storage and data processing happen outside of the mobile device.
Mobile cloud computing (MCC) at its simplest, refers to an infrastructure where both the data storage and data processing happen outside of the mobile device.
Mobile cloud computing (MCC) at its simplest, refers to an infrastructure where both the data storage and data processing happen outside of the mobile device.
Mobile cloud computing (MCC) refers to an infrastructure where data storage and processing occur remotely on powerful centralized cloud servers, rather than locally on mobile devices. This alleviates issues like limited battery, storage, and bandwidth on mobile devices. MCC provides advantages like lower costs, greater scalability, reliability, and availability of data and applications stored in the cloud. Popular MCC applications include mobile commerce, healthcare, gaming and more. Key challenges include low bandwidth, service availability, and computation offloading in dynamic environments. Security issues involve protecting user privacy and securing data in the cloud.
This document summarizes mobile cloud computing. It defines mobile cloud computing as combining cloud computing, mobile computing, and wireless networks to provide rich computational resources to mobile users. It describes the advantages of mobile cloud computing in providing data storage, processing, and access from anywhere. It outlines the basic architecture and discusses hierarchical architectures using "cloudlets" to improve performance. It also discusses issues like limited mobile devices and connection quality, and proposes solutions like optimizing application distribution and developing network infrastructure around cloudlets.
Mobile Cloud: Security Issues and Challenges discusses security concerns with mobile cloud computing. It outlines the evolution of cloud computing and features of mobile cloud computing. The document then discusses challenges such as bandwidth limitations and security issues including data ownership, privacy, and data security. Existing solutions and possible solutions to security issues are presented, along with a conclusion emphasizing the need for data security plans and addressing threats to attain more reliable and cost-effective mobile cloud computing.
Mobile Cloud Computing : The Upcoming Trend !Sai Natkar
Cloud computing and mobile technologies are the two most talked about trends in this century. Mobile Cloud Computing is an infrastructure where both the data storage and processing happens outside the mobile device. With the help of mobile Cloud Applications computing power and data storage is moved away from the mobile devices into centralized computing platforms located in clouds. It is like two or more innovations blend together to produce something more amazing.
The document discusses mobile cloud computing (MCC), including its architecture, applications, services, motivations and expected outcomes. MCC involves offloading data storage and processing from mobile devices to cloud infrastructure. Key applications are mobile commerce, gaming and healthcare. Services include storage, software apps and business tools provided through cloud platforms. MCC is seen as a potential technology and future research area to address limitations of mobile devices.
This document provides an overview of mobile cloud computing. It begins with introductions to mobile computing and cloud computing individually, defining them and their key features and challenges. It then defines mobile cloud computing as the combination of these two, where data storage and processing occur remotely rather than on the mobile device itself. The architecture of mobile cloud computing connects mobile devices to remote cloud servers. Applications include offloading computation and storage to the cloud to improve battery life and processing speed on mobile devices. Challenges include costs of mobile networks and cloud services as well as issues with availability, heterogeneity, and security.
Mobile cloud computing aims to augment the capabilities of mobile devices by moving data processing and storage to powerful centralized cloud platforms. This conserves local resources on mobile devices while extending storage capacity and enhancing data security. Key challenges include the limited capabilities of mobile devices, quality of communication given changing network conditions and disconnections, and how to effectively divide applications between mobile and cloud resources. Research is still needed to address task division, data delivery, quality of service standards, and providing suitable interactive services for mobile devices within this environment.
QoS-Aware Middleware for Optimal Service Allocation in Mobile Cloud ComputingReza Rahimi
- The document discusses QoS-aware middleware for optimal service allocation in mobile cloud computing.
- It proposes a 2-tier cloud architecture consisting of local clouds and public clouds and develops algorithms to optimally allocate services for mobile users across these tiers.
- A location-time workflow model is used to represent mobile applications and QoS metrics like delay, power consumption and price are considered for optimal service allocation.
This document discusses mobile cloud computing (MCC). It defines MCC as infrastructure where data storage and processing occur outside the mobile device. MCC provides advantages to mobile devices with limited resources by offering cloud services elastically. The document outlines the MCC architecture and describes how mobile requests are processed in the cloud. It lists applications of MCC like mobile commerce, healthcare and gaming. Issues with MCC like bandwidth, availability and security are also covered. In conclusion, MCC combines advantages of mobile and cloud computing to provide opportunities for mobile business.
Security and Privacy in Mobile Cloud ComputingRam Kumar K R
This document discusses security and privacy issues in mobile cloud computing. It identifies several factors that affect the growth of mobile cloud computing, including battery life, limited device resources, bandwidth, and security. It also outlines some common security issues like vulnerabilities in open source mobile operating systems, malware, and data transfer methods. Additionally, it discusses security challenges at the mobile terminal level, in mobile networks, and within mobile clouds. Finally, it provides an overview of current security and privacy approaches that aim to address these issues at each level through methods such as anti-malware software, encryption, access control, and data privacy protection.
This is a small and simple Presentation on the topic Mobile Cloud Computing Made for a Symposium. The content inside the slides are taken from Google and various research papers, this slide is purely for educational purpose and not meant for commercial publication.
Research Seminar Presentation - A framework for partitioning and execution of...malinga2009
This is a presentation slide-set which presented at Research Seminar Series in UCSC on 12th of August 2013. Two new research papers will be presented and discussed in each week and audience will be motivated to ask questions regarding those two papers. Altogether 40 papers will be presented within an academic year.
Abstract : This paper addresses the problem of automatic temporal annotation of realistic human actions in video using minimal manual supervision. To this end we consider two associated problems: (a) weakly-supervised learning of action models from readily available annotations, and (b) temporal localization of human actions in test videos. To avoid the prohibitive cost of manual annotation for training, we use movie scripts as a means of weak supervision. Scripts, however, provide only implicit, noisy, and imprecise information about the type and location of actions in video. We address this problem with a kernel-based discriminative clustering algorithm that locates actions in the weakly-labeled training data. Using the obtained action samples, we train temporal action detectors and apply them to locate actions in the raw video data. Our experiments demonstrate that the proposed method for weakly-supervised learning of action models leads to significant improvement in action detection. We present detection results for three action classes in four feature length movies with challenging and realistic video data.
Link to paper :
http://dl.acm.org/citation.cfm?id=2479946
This document discusses end-to-end security in mobile cloud computing. It defines mobile cloud computing and explains its advantages over mobile devices alone. The document outlines challenges to end-to-end security in service-oriented architectures and mobile cloud computing. It proposes a security framework that uses taint analysis and aspect-oriented programming to monitor service executions and detect unauthorized external service invocations. A trust broker would maintain trust sessions and evaluate the trustworthiness of services to ensure end-to-end security.
The document discusses the architecture of mobile cloud computing (MCC). MCC combines mobile computing, mobile internet, and cloud computing. The MCC architecture involves mobile devices connecting to mobile networks through base stations. User requests are transmitted to central processors and then to a cloud where controllers process the requests to provide cloud services. The system architecture of MCC contains four layers - access, basic management, virtual, and physical. Middleware acts as a proxy between mobile clients and cloud services, improving interaction and handling issues like limited resources.
Energy Efficient Mobile Applications with Mobile Cloud Computing ( MCC )Anand Bhojan
This document summarizes a talk on using mobile cloud computing (MCC) to develop energy efficient mobile applications. It discusses how offloading computation and storage to cloud infrastructure can enhance capabilities and improve energy efficiency for mobile devices. The talk introduces Gamelets, a distributed cloud architecture that uses localized micro-clouds to enable real-time mobile multiplayer games. Gamelets addresses latency and bandwidth issues through techniques like zone-based content distribution, distributed rendering across nearby devices, and adaptive streaming to clients. An evaluation of a prototype survival game demonstrated the feasibility of the Gamelets approach.
Mobile Cloud Computing (MCC) is the combination of cloud computing, mobile computing and wireless networks to bring rich computational resources to mobile users, network operators, as well as cloud computing providers.
starts with an introduction to mobile cloud computing with a definition, architecture, and advantages/disadvantages. At the next sections, continues with the applications of MCC, detailed challenges in mobile environment and solutions. Lastly the document concludes the main issues about the mobile cloud computing with the conclusion part.
Market oriented mobile cloud computing architectureSaeid Abolfazli
The document proposes MOMCC, a Market-Oriented Architecture for Mobile Cloud Computing based on Service Oriented Architecture. MOMCC establishes a proximate mobile cloud to alleviate latency and heterogeneity issues. It introduces financial incentives for mobile device owners to host services, encouraging collaboration. MOMCC extends the separation of roles from SOA to include service developers, consumers, governors, and hosts. The architecture allows unskilled users to host services and increases resource availability at low cost while enhancing security, reliability, and reducing long-distance network latency issues.
Security and privacy issues with mobile cloud computing applications june 2016Merlec Mpyana
This document discusses security and privacy issues with mobile cloud computing applications. It outlines potential security threats facing mobile devices, networks, and cloud platforms in mobile cloud computing models. These include malware, software vulnerabilities, privacy violations, and data breaches. The document also summarizes several proposed approaches to address these issues, such as malware detection techniques, access control methods, and encryption. Finally, it reviews some existing solutions and open challenges in securing mobile cloud computing.
M2C2: A Mobility Management System For Mobile Cloud ComputingKaran Mitra
Mobile devices have become an integral part of our daily lives. Applications
running on these devices may avail storage and compute resources from
the cloud(s). Further, a mobile device may also connect to heterogeneous
access networks (HANs) such as WiFi and LTE to provide ubiquitous
network connectivity to mobile applications. These devices have limited
resources (compute, storage and battery) that may lead to service
disruptions. In this context, mobile cloud computing enables offloading
of computing and storage to the cloud. However, applications running
on mobile devices using clouds and HANs are prone to unpredictable
cloud workloads, network congestion and handoffs. To run these applications
efficiently the mobile device requires the best possible cloud and
network resources while roaming in HANs. This paper proposes, develops
and validates a novel system called M2C2 which supports mechanisms
for: i.) multihoming, ii.) cloud and network probing, and iii.) cloud
and network selection. We built a prototype system and performed extensive
experimentation to validate our proposed M2C2. Our results
analysis shows that the proposed system supports mobility efficiently
in mobile cloud computing.
Paper can be downloaded from: http://karanmitra.me/wp-content/uploads/2015/02/MitraetalLTUWCNC_Preprint2015.pdf
Evaluating the impacts of (Mobile) Cloud Computing on OSS/BSS LandscapeMuhammad Imran Awan
This document discusses how telecom service providers can leverage mobile cloud computing by transforming into cloud service providers. It would allow them to offer infrastructure, platform, and software as a service to enterprise and SMB customers. This transformation requires adapting the OSS/BSS systems to support cloud-based service delivery, billing, and management. Key areas that need enhancement in the OSS/BSS include service catalog, fulfillment, assurance, billing, and support for network as a service business models. Cross-network service providers will also play an important role in facilitating commercial and technical interactions between application service providers and multiple telecom operators in a mobile cloud environment.
Mobile Cloud: Security Issues and Challenges discusses security concerns with mobile cloud computing. It outlines the evolution of cloud computing and features of mobile cloud computing. The document then discusses challenges such as bandwidth limitations and security issues including data ownership, privacy, and data security. Existing solutions and possible solutions to security issues are presented, along with a conclusion emphasizing the need for data security plans and addressing threats to attain more reliable and cost-effective mobile cloud computing.
Mobile Cloud Computing : The Upcoming Trend !Sai Natkar
Cloud computing and mobile technologies are the two most talked about trends in this century. Mobile Cloud Computing is an infrastructure where both the data storage and processing happens outside the mobile device. With the help of mobile Cloud Applications computing power and data storage is moved away from the mobile devices into centralized computing platforms located in clouds. It is like two or more innovations blend together to produce something more amazing.
The document discusses mobile cloud computing (MCC), including its architecture, applications, services, motivations and expected outcomes. MCC involves offloading data storage and processing from mobile devices to cloud infrastructure. Key applications are mobile commerce, gaming and healthcare. Services include storage, software apps and business tools provided through cloud platforms. MCC is seen as a potential technology and future research area to address limitations of mobile devices.
This document provides an overview of mobile cloud computing. It begins with introductions to mobile computing and cloud computing individually, defining them and their key features and challenges. It then defines mobile cloud computing as the combination of these two, where data storage and processing occur remotely rather than on the mobile device itself. The architecture of mobile cloud computing connects mobile devices to remote cloud servers. Applications include offloading computation and storage to the cloud to improve battery life and processing speed on mobile devices. Challenges include costs of mobile networks and cloud services as well as issues with availability, heterogeneity, and security.
Mobile cloud computing aims to augment the capabilities of mobile devices by moving data processing and storage to powerful centralized cloud platforms. This conserves local resources on mobile devices while extending storage capacity and enhancing data security. Key challenges include the limited capabilities of mobile devices, quality of communication given changing network conditions and disconnections, and how to effectively divide applications between mobile and cloud resources. Research is still needed to address task division, data delivery, quality of service standards, and providing suitable interactive services for mobile devices within this environment.
QoS-Aware Middleware for Optimal Service Allocation in Mobile Cloud ComputingReza Rahimi
- The document discusses QoS-aware middleware for optimal service allocation in mobile cloud computing.
- It proposes a 2-tier cloud architecture consisting of local clouds and public clouds and develops algorithms to optimally allocate services for mobile users across these tiers.
- A location-time workflow model is used to represent mobile applications and QoS metrics like delay, power consumption and price are considered for optimal service allocation.
This document discusses mobile cloud computing (MCC). It defines MCC as infrastructure where data storage and processing occur outside the mobile device. MCC provides advantages to mobile devices with limited resources by offering cloud services elastically. The document outlines the MCC architecture and describes how mobile requests are processed in the cloud. It lists applications of MCC like mobile commerce, healthcare and gaming. Issues with MCC like bandwidth, availability and security are also covered. In conclusion, MCC combines advantages of mobile and cloud computing to provide opportunities for mobile business.
Security and Privacy in Mobile Cloud ComputingRam Kumar K R
This document discusses security and privacy issues in mobile cloud computing. It identifies several factors that affect the growth of mobile cloud computing, including battery life, limited device resources, bandwidth, and security. It also outlines some common security issues like vulnerabilities in open source mobile operating systems, malware, and data transfer methods. Additionally, it discusses security challenges at the mobile terminal level, in mobile networks, and within mobile clouds. Finally, it provides an overview of current security and privacy approaches that aim to address these issues at each level through methods such as anti-malware software, encryption, access control, and data privacy protection.
This is a small and simple Presentation on the topic Mobile Cloud Computing Made for a Symposium. The content inside the slides are taken from Google and various research papers, this slide is purely for educational purpose and not meant for commercial publication.
Research Seminar Presentation - A framework for partitioning and execution of...malinga2009
This is a presentation slide-set which presented at Research Seminar Series in UCSC on 12th of August 2013. Two new research papers will be presented and discussed in each week and audience will be motivated to ask questions regarding those two papers. Altogether 40 papers will be presented within an academic year.
Abstract : This paper addresses the problem of automatic temporal annotation of realistic human actions in video using minimal manual supervision. To this end we consider two associated problems: (a) weakly-supervised learning of action models from readily available annotations, and (b) temporal localization of human actions in test videos. To avoid the prohibitive cost of manual annotation for training, we use movie scripts as a means of weak supervision. Scripts, however, provide only implicit, noisy, and imprecise information about the type and location of actions in video. We address this problem with a kernel-based discriminative clustering algorithm that locates actions in the weakly-labeled training data. Using the obtained action samples, we train temporal action detectors and apply them to locate actions in the raw video data. Our experiments demonstrate that the proposed method for weakly-supervised learning of action models leads to significant improvement in action detection. We present detection results for three action classes in four feature length movies with challenging and realistic video data.
Link to paper :
http://dl.acm.org/citation.cfm?id=2479946
This document discusses end-to-end security in mobile cloud computing. It defines mobile cloud computing and explains its advantages over mobile devices alone. The document outlines challenges to end-to-end security in service-oriented architectures and mobile cloud computing. It proposes a security framework that uses taint analysis and aspect-oriented programming to monitor service executions and detect unauthorized external service invocations. A trust broker would maintain trust sessions and evaluate the trustworthiness of services to ensure end-to-end security.
The document discusses the architecture of mobile cloud computing (MCC). MCC combines mobile computing, mobile internet, and cloud computing. The MCC architecture involves mobile devices connecting to mobile networks through base stations. User requests are transmitted to central processors and then to a cloud where controllers process the requests to provide cloud services. The system architecture of MCC contains four layers - access, basic management, virtual, and physical. Middleware acts as a proxy between mobile clients and cloud services, improving interaction and handling issues like limited resources.
Energy Efficient Mobile Applications with Mobile Cloud Computing ( MCC )Anand Bhojan
This document summarizes a talk on using mobile cloud computing (MCC) to develop energy efficient mobile applications. It discusses how offloading computation and storage to cloud infrastructure can enhance capabilities and improve energy efficiency for mobile devices. The talk introduces Gamelets, a distributed cloud architecture that uses localized micro-clouds to enable real-time mobile multiplayer games. Gamelets addresses latency and bandwidth issues through techniques like zone-based content distribution, distributed rendering across nearby devices, and adaptive streaming to clients. An evaluation of a prototype survival game demonstrated the feasibility of the Gamelets approach.
Mobile Cloud Computing (MCC) is the combination of cloud computing, mobile computing and wireless networks to bring rich computational resources to mobile users, network operators, as well as cloud computing providers.
starts with an introduction to mobile cloud computing with a definition, architecture, and advantages/disadvantages. At the next sections, continues with the applications of MCC, detailed challenges in mobile environment and solutions. Lastly the document concludes the main issues about the mobile cloud computing with the conclusion part.
Market oriented mobile cloud computing architectureSaeid Abolfazli
The document proposes MOMCC, a Market-Oriented Architecture for Mobile Cloud Computing based on Service Oriented Architecture. MOMCC establishes a proximate mobile cloud to alleviate latency and heterogeneity issues. It introduces financial incentives for mobile device owners to host services, encouraging collaboration. MOMCC extends the separation of roles from SOA to include service developers, consumers, governors, and hosts. The architecture allows unskilled users to host services and increases resource availability at low cost while enhancing security, reliability, and reducing long-distance network latency issues.
Security and privacy issues with mobile cloud computing applications june 2016Merlec Mpyana
This document discusses security and privacy issues with mobile cloud computing applications. It outlines potential security threats facing mobile devices, networks, and cloud platforms in mobile cloud computing models. These include malware, software vulnerabilities, privacy violations, and data breaches. The document also summarizes several proposed approaches to address these issues, such as malware detection techniques, access control methods, and encryption. Finally, it reviews some existing solutions and open challenges in securing mobile cloud computing.
M2C2: A Mobility Management System For Mobile Cloud ComputingKaran Mitra
Mobile devices have become an integral part of our daily lives. Applications
running on these devices may avail storage and compute resources from
the cloud(s). Further, a mobile device may also connect to heterogeneous
access networks (HANs) such as WiFi and LTE to provide ubiquitous
network connectivity to mobile applications. These devices have limited
resources (compute, storage and battery) that may lead to service
disruptions. In this context, mobile cloud computing enables offloading
of computing and storage to the cloud. However, applications running
on mobile devices using clouds and HANs are prone to unpredictable
cloud workloads, network congestion and handoffs. To run these applications
efficiently the mobile device requires the best possible cloud and
network resources while roaming in HANs. This paper proposes, develops
and validates a novel system called M2C2 which supports mechanisms
for: i.) multihoming, ii.) cloud and network probing, and iii.) cloud
and network selection. We built a prototype system and performed extensive
experimentation to validate our proposed M2C2. Our results
analysis shows that the proposed system supports mobility efficiently
in mobile cloud computing.
Paper can be downloaded from: http://karanmitra.me/wp-content/uploads/2015/02/MitraetalLTUWCNC_Preprint2015.pdf
Evaluating the impacts of (Mobile) Cloud Computing on OSS/BSS LandscapeMuhammad Imran Awan
This document discusses how telecom service providers can leverage mobile cloud computing by transforming into cloud service providers. It would allow them to offer infrastructure, platform, and software as a service to enterprise and SMB customers. This transformation requires adapting the OSS/BSS systems to support cloud-based service delivery, billing, and management. Key areas that need enhancement in the OSS/BSS include service catalog, fulfillment, assurance, billing, and support for network as a service business models. Cross-network service providers will also play an important role in facilitating commercial and technical interactions between application service providers and multiple telecom operators in a mobile cloud environment.
Principal component analysis and matrix factorizations for learning (part 1) ...zukun
This document discusses principal component analysis (PCA) and matrix factorizations for learning. It provides an overview of PCA and singular value decomposition (SVD), their history and applications. PCA and SVD are widely used techniques for dimensionality reduction and data transformation. The document also discusses how PCA relates to other methods like spectral clustering and correspondence analysis.
Mobile cloud computing combines cloud computing and mobile networks to provide benefits to mobile users, network providers, and cloud providers. It allows resource-intensive tasks to be processed in the cloud rather than on mobile devices, extending battery life and improving storage and processing capabilities. Key advantages include improving reliability and availability of data and services, enabling dynamic provisioning and scalability, and ease of integration. Several techniques for offloading computation and data to the cloud have been developed. Open issues include determining what tasks to offload, addressing low bandwidth constraints, and ensuring security and privacy when data and processing occur externally.
Mobile cloud computing combines mobile web and cloud computing to address limitations of the mobile web like limited storage, small screens, and unreliable browsers and connections. It takes data processing away from mobile phones and into the cloud, creating a common platform across devices. While mobile cloud computing currently has under 1 billion subscribers, its potential is high given there are over 5 billion mobile subscribers that could benefit, especially in Africa. The concept involves innovating bespoke products and services suited for ubiquitous access on any mobile device.
Matrix Factorization In Recommender SystemsYONG ZHENG
The document discusses matrix factorization techniques for recommender systems. It begins with an overview of recommender systems and their use of matrix factorization for dimensionality reduction. Principal component analysis and singular value decomposition are described as early linear algebra techniques used for this purpose. The document then focuses on how these techniques evolved into basic and extended matrix factorization methods in recommender systems, using the Netflix Prize competition as an example.
Matrix Factorization Techniques For Recommender SystemsLei Guo
The document discusses matrix factorization techniques for recommender systems. It begins by describing common recommender system strategies like content-based and collaborative filtering approaches. It then introduces matrix factorization methods, which characterize both users and items by vectors of latent factors inferred from rating patterns. The basic matrix factorization model approximates user ratings as the inner product of user and item vectors in the joint latent factor space. Learning algorithms like stochastic gradient descent and alternating least squares are used to compute the user and item vectors by minimizing a regularized error function on known ratings.
Library mangement system project srs documentation.docjimmykhan
The document describes a library management system created in Java. It has four main modules: inserting data into the database, extracting data from the database, generating reports on borrowed and available books, and a search facility. The proposed system automates library processes like adding members and books, searching, borrowing and returning books. This makes transactions faster and reduces errors compared to the manual existing system. The system was implemented using Java, MS Access for the database, and designed to run on Windows operating systems. Testing was done to check functionality and ensure all requirements were met.
This white paper discusses harnessing the power of the mobile cloud. It defines a mobile cloud as a set of hosted services that shields enterprises from the complexities of mobility and enables them to focus on building mobile apps. The mobile cloud provides advantages like faster time to market, ease of deployment, reliability, scalability, support and lower cost of ownership compared to building mobile infrastructure internally. It concludes that the Antenna mobile cloud is a proven solution that leverages these advantages for its customers.
La tendencia de Cloud Computing. Nubes públicas, privadas e híbridasMundo Contact
The document discusses trends in cloud computing models including public, private, and hybrid clouds. Public clouds offer services to multiple customers and have seen rapid growth due to their low costs and scalability. However, private clouds are more popular currently for enterprises that desire more security and control over their infrastructure. Hybrid clouds that combine public and private cloud models are seen as the future approach. The document also outlines Huawei's strategy to develop cloud platforms and services across various industries as part of their ICT solutions.
1) 5G is the emerging standard for wireless communications that aims to connect everything through higher speeds and lower latency. It is being developed through industry organizations like 3GPP but no single entity owns it.
2) Hybrid cloud infrastructure combines on-premises, private cloud, and public cloud options for flexibility. It has evolved from earlier concepts of distributed computing and builds on virtualization.
3) Headless technology separates the front-end interface from the back-end data, allowing content to be delivered and accessed through any device. It uses a RESTful API to share content independently of presentation layer.
Windows Azure platform AppFabric provides a Service Bus and Access Control to enable connectivity and security in cloud applications. The Service Bus allows secure and interoperable communication across networks and firewalls. Access Control simplifies authorization management across organizations and identity providers. These services solve challenges of connecting cloud, mobile, and on-premises applications at scale through standards-based technologies.
This document discusses how enterprises can achieve agility in the cloud through integrated solutions from VMware, F5, and BlueLock. It provides an overview of how each company's technologies - VMware's virtualization platform, F5's application delivery networking solutions, and BlueLock's managed cloud services - can work together to provide enterprises with platform agility, network agility, and flexible cloud services. It then provides an example scenario of how these integrated solutions could help a company dynamically scale its applications between its private cloud and BlueLock's public cloud during periods of high traffic.
This document discusses how enterprises can achieve agility in the cloud through integrated solutions from VMware, F5, and BlueLock. It provides an overview of how each company's technologies - VMware's virtualization platform, F5's application delivery networking solutions, and BlueLock's managed cloud services - can work together to provide enterprises with platform agility, network agility, and flexible cloud services. It then provides an example scenario of how these integrated solutions could help a company dynamically scale its applications between its private cloud and BlueLock's public cloud during periods of high traffic.
IBM offers solutions to help organizations address key challenges in mobile application development and management. Its mobile platform allows organizations to rapidly build, connect, manage and secure mobile apps across platforms. It provides tools to streamline development, integration, testing and deployment of mobile apps throughout the lifecycle.
The document provides an overview of IBM's MobileFirst portfolio and the IBM Worklight mobile application platform. It discusses how Worklight can help speed the development, testing, integration and management of mobile applications. It demonstrates Worklight's console for app version management, analytics dashboards, and the Application Center for centralized app distribution and feedback. It also shows how Worklight integrates with IBM Endpoint Manager for unified mobile device and application management.
Revenue intelligence solutions provider cVidya launched its cloud services in late 2010 and revenue assurance solution for cloud services in mid-2011 to help telecommunications companies optimize and assure revenue from cloud offerings. The document discusses how telecom companies are both offering cloud/SaaS services to customers and consuming cloud/SaaS services themselves. It also announces cVidya's enhancement of its product OfferAdvisor to leverage big data technologies and information from social and mobile sources to improve next best offer recommendations for telecom companies dealing with the challenges of cloud, big data, mobile and social trends.
F5 introduced new solutions and releases at its 2013 annual media meet, focusing on an intelligent services framework. Key announcements included expanded cloud support through new virtual solutions, and growth in Asia Pacific. Experts predict work will increasingly be done through web and mobile apps, bringing security challenges from a shifting perimeter and device proliferation. F5 aims to maximize resources and application availability through scaling up, in, and out of data centers, and providing flexible deployment options for virtual and cloud environments.
This keynote presentation discusses IBM's strategy and capabilities for mobile application development. It highlights that mobile is becoming a mandatory transformation for businesses as devices proliferate and customer expectations change. IBM addresses the full range of mobile enterprise needs through capabilities to extend existing systems to mobile, build new mobile apps, and manage and secure mobile environments. The presentation provides details on IBM's tools and approach for developing applications across multiple platforms in a collaborative, full lifecycle manner.
This document discusses the impact of cloud computing on the Asian IT industry. It outlines several key trends driving cloud adoption, including bring your own device (BYOD) policies, increased worker mobility, and the rise of mobile commerce. The cloud is changing how IT infrastructure is delivered and used. It also presents opportunities for small and medium enterprises to access technology through the subscription-based cloud model. While cloud computing provides benefits, issues around awareness, security, infrastructure limitations, and data protection must still be addressed for the technology to reach its full potential across Asia.
Fremskynd innovation og nå bredere ud med IBM Mobile, Michael Gilfix, IBM USIBM Danmark
TBC Corporation developed mobile applications over 19 days to enhance the customer experience across various touchpoints of the vehicle ownership journey. Key applications included providing vehicle health monitoring, educational content, and digital invoices. IBM's mobile capabilities helped deliver critical success factors like supporting multiple standards, end-to-end security, and integrating mobile access with backend systems.
As the amount of data used by organizations continues to grow, securing critical information and programs on in-house computer servers has become crucial. Cloud computing offers secure access to users from anywhere and has been widely accepted around the world for its business efficiencies, cost-effectiveness, and competitive advantages.
This e-Book explores the business benefits of cloud migration, including flexibility, higher security, easy accessibility, data recovery, and minimal maintenance. It also provides an overview of the leading cloud service providers, such as Microsoft Azure, Citrix, CompTIA, and AWS.
The e-Book covers the following topics:
The history of cloud computing
An explanation of the three different cloud computing services
A comparative analysis of Cloud vs On-Premises
The advantages of Cloud computing
Quick stats on Cloud-migrated business profits
The top 10 entrepreneurial benefits of Cloud migration
Common Cloud migration challenges faced by every CIO
How to overcome these challenges with Cloud skilling plan solutions
A roadmap to master Azure, Citrix, CompTIA, and AWS Cloud certifications
We hope this e-Book provides valuable insights for organizations considering Cloud migration or looking to optimize their existing Cloud solutions.
Check for more information in these blogs: https://www.netcomlearning.com/blogs/347/microsoft-azure-certification-path-for-2023-the-ultimate-microsoft-azure-certifications-training-guide.html
For aws: https://www.netcomlearning.com/blogs/585/the-ultimate-guide-to-aws-certification-how-to-get-certified-and-succeed-in-your-career.html
The document discusses the emergence and benefits of cloud computing. It explains that cloud computing allows users to access computing resources over the internet on-demand without needing local infrastructure. Some key benefits include scalability, cost-effectiveness, accessibility, reliability, and innovation. The document also discusses how cloud computing enhances capabilities for mobile devices and emerging technologies in the cloud space.
The term “Cloud Computing” is a recent buzzword in the IT world. Behind this fancy poetic phrase, there lies a true picture for the future of computing for both in technical prospective and social prospective. However, the term “Cloud Computing” is recent but the idea of centralizing computation and storage in distributed data centers maintained by third party companies is not new but it came in the way back in 1990s along with distributed computing approaches like grid computing. Cloud computing aimed at providing IT as a service to the cloud users on-demand basic with greater flexibility, availability, reliability and scalability with utility computing model. This new paradigm of computing has an immense potential in it to be used in the field of e-governance and in rural development perspective in the developing country like India.
Lo que se viene: ¿Cómo escribirás tu futuro? - Laura VoglinoGeneXus
El mundo de hoy, marcado por las siguientes shifts en tecnología que conviven al mismo tiempo -los datos, la nube y la movilidad, ¿cómo podemos preveer la construcción de una diferenciación sostenible para ofrecer valor durarero en el tiempo? ¿Qué vamos a hacer de este momento como empresas, como individuos, como comunidades?
•Explotar los datos para redefinir su posición en la industria
•Capitalizar en la Nube para la reinvención de un modelo de negocios
•Involucrarse con su ecosistema -socios, desarrolladores y empleados- para lograr una ágil innovación.
Cloud computing provides scalable IT resources and applications as an internet-based service. It has grown from concepts in the 1960s through companies like Amazon, Google, IBM, and Microsoft offering cloud services starting in the 2000s. There are three main types of cloud computing models - public cloud for general systems, private cloud for secure systems, and hybrid cloud combining public and private. Cloud services are delivered through software (SaaS), platform (PaaS), and infrastructure (IaaS) as a service models. Advantages include scalability, cost savings, and increased efficiency. Security threats include data breaches, loss, hijacking and vulnerabilities. The future of cloud computing includes growth of hybrid clouds, industrial internet applications,
This document discusses women in technology and the challenges they face. It touches on how technology has traditionally been viewed as more for boys than girls from a young age. It encourages women to get involved in the technology community as there is a need for more female representation. The document advocates for women to help drive positive change and embrace their passion for technology. It concludes by thanking the reader and providing contact details.
The document introduces graphology, which is the study of character from handwriting. It states that graphology can reveal 10 things about a person's character traits, emotions, passions, self-esteem, and more based on aspects of their handwriting such as spacing, size, and style. The document provides examples of the 10 things that can be learned about a person from their handwriting, including their emotions, life balance, connections to others, and secretive nature. However, it cautions that one shouldn't judge a person solely based on their handwriting, but also get to know the person.
The document announces a kick off meet for the Google Technology User Group in Bangalore on September 11, 2011. The meet will provide demos, lectures, and hackathons for people interested in Google's developer technologies like Android, App Engine, YouTube API, and Google Calendar API. It lists ways for people to get involved with the user group through meetups, presentations, discussions, webinars, and more.
This document provides an overview of the Windows Phone 7 (WP7) architecture and platform. It discusses the goals of putting the end user first and building richer, deeper apps. It outlines the platform components, including the client runtime, frameworks, and cloud services. It describes the application model and how apps are developed, tested, packaged, certified and deployed to the Windows Phone Marketplace. It also covers the user interface model and how pages, sessions and navigation work. Key services like push notifications, location and Xbox Live integration are summarized.
The document provides an overview of announcements and developments from Mobile World Congress 2011. Key points include:
- Samsung unveiled the Galaxy Tab II tablet and slimmer Galaxy S II smartphone with NFC and WiFi Direct capabilities.
- LG launched the Optimus 3D smartphone and Optimus Pad tablet with dual cameras for 3D content capture and playback.
- Nokia confirmed Windows Phone 7 devices in partnership with Microsoft, while keeping Symbian for mass market.
- Intel showcased MeeGo tablets and announced upcoming Oaktrail and Medfield mobile platforms.
- HTC launched the Flyer tablet and Facebook phones with dedicated sharing buttons.
The document summarizes new products, technologies, and
The document discusses Representational State Transfer (REST), a software architectural style for building web services. It uses an example of an airline reservation system to illustrate the REST design pattern versus a non-REST approach. Specifically, it shows that using multiple unique URLs, each identifying a distinct resource, aligned with the REST principles of having resources identified by URIs and a uniform interface, rather than a centralized system routing requests.
The document provides an overview of the Android mobile platform. It discusses the Android ecosystem and architecture, including the operating system, middleware, key applications, and development tools. The document outlines Android's open source nature, features like the Dalvik VM and app building blocks. It also provides references and contact information for the presenter.
The document discusses the "8 Cs" of the mobile ecosystem: Connectivity, Content, Community, Commerce, Capacity, Culture, Cooperation, and Capital. It provides examples to illustrate each C, such as how Apple, Google, and SK Telecom are working on connectivity technologies, and how Spotify and the BBC are providing mobile content. It also mentions how social media and mobile barcodes/money are impacting the community and commerce aspects.
This document provides an introduction and overview of the Android mobile operating system. It discusses Android's open source nature, its components including the Linux kernel and Dalvik virtual machine, the developer tools and SDK, and how developers can build applications and integrate with, extend, and replace existing Android components. The document also provides an update on the latest Android news including the announcement and early SDK releases, the Android Developer Challenge program, and upcoming SDK and device releases.
The document discusses JavaScript and provides an overview of common misconceptions about the language as well as best practices. It notes that JavaScript's name is misleading as it is not related to Java and was originally called LiveScript. It then outlines some design errors in JavaScript and also highlights the language's powerful features like being object-oriented, functional, and useful for AJAX applications. The document concludes by encouraging learning JavaScript best practices.
Apache Velocity is a Java-based template engine that allows separation of design and code through templates. It defines its own template language (VTL) and processes templates at runtime rather than compiling them. Velocity has been an Apache project since 2006, is 100% Java-based, and is used widely in projects like Struts, Turbine, and Maven for code generation, documentation, and more.
The document discusses frameworks for developing ideas into products or services. It emphasizes that ideas should provide new possibilities, significantly contribute to customer benefits, and be difficult for competitors to copy. It also discusses frameworks for eliminating or reducing unnecessary factors, creating new factors, and raising important factors to create new value for customers. The document notes that understanding people and their needs is key to solving "wicked problems" and developing innovative business models and products.
The document summarizes a presentation on secure software development. It defines common security terms like threats, vulnerabilities, and attacks. It also describes the STRIDE framework for categorizing security risks as spoofing, tampering, repudiation, information disclosure, denial of service, or elevation of privileges. Finally, it provides examples of mitigation techniques like authentication, authorization, encryption, and limiting privileges to address each type of risk.
WLST can be used to monitor, manage, and configure WebLogic Server instances both online and offline. It provides various modes of operation including interactive, scripting, and embedded. Key features include creating and configuring domains, deploying applications, controlling servers and lifecycles, and accessing MBeans. WLST scripts can perform tasks such as starting servers, editing configuration attributes, and monitoring threads.
The document discusses trends in e-learning and its future direction. It provides definitions of e-learning and examples of popular e-learning tools like blogs, wikis, and podcasts. Statistics show the e-learning industry was worth over 38 billion Euros in 2006 and 3.5 million US students participated in online learning. The document also summarizes some case studies of e-learning implementations at institutions like MIT and TCS and why e-learning is beneficial in providing rich and flexible learning environments.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
2. Contents
1 Cloud Computing & Trends 5 Mobile Cloud for Automotive
2 Mobile Cloud Computing & Trends 6 Mobile Cloud for Healthcare
3 Mobile Cloud for OEMs, Developers, 7 Mobile Cloud for Consumer Electronics
Customers
4 Mobile Cloud for Enterprise 8 Challenges & Opportunities
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3. Cloud Computing ?
2002 - Amazon Web Services (AWS)
2007 - Google Apps, Google Apps Engine and Gmail
2011 – Microsoft Office 365, Cloud computing for businesses.
2012 - Cloud computing stand’s poised for the next stage of its evolution.
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5. Cloud Computing Trends
Host important applications
The convergence of big data.
Cloud security standard.
PaaS offerings for specialized mobile platforms.
Data virtualization
Cheaper operating systems, applications, etc.
Alter the way we access personal content
Change businesses structure IT.
Automatic software updates
Cost-effective
Storage capability
Eg: Chromebook
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6. Mobile Cloud Computing ?
Data storage and the data processing happen outside of the mobile
device.
Eg:Gmail, Google Maps, and some navigation apps.
3G-enabled tablets & Smartphones - make them perfect match for
cloud services and cloud computing
Convergence of cloud computing and mobile apps.
Cloud-synching capabilities for contacts, email and bookmarks.
4G LTE offers a new opportunity
Faster data transfers, reduced latency and increased speed and
bandwidth for data enable
Efficiencies in cloud-based SaaS & PaaS applications.
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7. Mobile + Cloud = The Future is Here
Location-based cloud tools
Security 24/7
Mobile a true desktop extension
Portable Mobile Devices
4G with more bandwidth
Expect mobile cloud services to reach $45 billion in 2016 with greatest revenue contributions coming from
cloud powered mobile applications, driven by increasing smartphone penetration, growth of 3G network
coverage across the globe and deployment of 4G networks.
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8. Mobile Cloud for OEMs
BlackBerry Business Cloud Services
Windows Phone Mango, Skydrive &
Skymarket
Huawei Cloud +
iCloud
Samsung enterprise cloud services for
mobile devices
Smartphone producers should give the
user the possibility to switch between
operating systems.
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9. Mobile Cloud for Enterprise
Dual Personal Capabilities Access to Business critical information anytime + anywhere
Unified mobile cloud experiences One Application for All Devices
Thin Client, cloud-based mobile devices Capabilities Boost
Extension of the desktop Data Not Tied to the Device
Video Conference calls Data Security
Low cost for set-up & maintenance
Data Sharing, processing
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10. Mobile Cloud for Developers
Tools to build apps for the cloud
Cross Platform
Security
Scalability
Availability
Performance
PaaS - Rapid Application
Development
Time to market
No investment, pay has u go
Support
Access to wider market
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11. Mobile Cloud for Consumers
Enriched Experience
Secured Data
Access to Data from anywhere anytime
No limiting their choice to one platform
Cloud based device:
Little setup time requirements
Discontinue anytime
Pay as u go
No maintenance
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12. Mobile Cloud for Mobile Applications
84% of third party apps using at least one cloud-
enabled or cloud-based service in their
applications today
Apps store data in the cloud
Increase in performance
Google's Gmail
Google Voice
SugarSync
Evernote
Safewallet
Google Docs
WhatsApps
HootSuite
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13. Mobile Cloud for HealthCare
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14. Mobile Cloud for Education
Online colleges -convenience, affordability,
24/7 access, and flexibility.
Mobile LMS
M-learning to campuses
Augmented reality
Mobile learning, blur the boundaries of
formal and informal learning spaces
Pearson believes that the future of
education will be digital, social, and freely
accessible, right to your mobile device.
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15. Mobile Cloud for Automotive
Mobile Cloud platform : QNX CAR 2
Personalized Vehicle information
Service offers, vehicle support by vendor
M2M
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16. Mobile Cloud for Consumer Electronics
Remote management of 'smart home' appliances.
Mobilely control your home
Home Security system
IBM & Vodafone demoed mobile management of a
washing machine
Smart meter
Better customer experience
IBM SmartCloud provides secure wireless
connectivity to home gateways
Cloud will increasingly be used in new ways that
will provide enhanced consumer-centric
experiences -- especially when combined with
mobile communications.
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17. Future of Mobile Cloud Computing
Enterprise and consumer mobiles apps to get smarter
Network providers are trying to climb up the value chain.
4G LTE compatible devices are supporting bandwidth intensive applications.
HTML5
The rise of mobile commerce.
Fragility of mobile devices.
Increase in the worker mobility.
Fragmentation of devices.
Autodesk cloud mobile
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18. Challenges
MobilityConstrains
Need of Adoption
Seamless Connection
Low Bandwidth
Heterogeneous networks
Security risks
Fragmentation
Making objects smart. We're
bringing intelligence to them
and connectivity to them. You
need both to make that
happen.
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19. Thank you
www.huawei.com
Bhavya.Siddappa@huawei.com @bhavis
Editor's Notes
Data which are stored in the cloud can be locally accessed.VMWareblogging, using Gmail, online banking, social networking sites, you are using cloud computing.
store data such as music and iOS applications on remote computer servers for download to multiple devices such as iOS-based devices running iOS 5 or later,[
One Application for All Devices: Applications hosted in the cloud eliminate the requirement that the application be tied to a single cell phone service provider (i.e. AT&T, Sprint, Verizon, or T-Mobile) or mobile device.Capabilities Boost: Mobile devices do not have the processing power or memory space required on the device itself for intensive applications. Cloud computing provides a tremendous leap in functionality and the amount of data the application can access.Data Not Tied to the Device: Mobile devices fail, are lost or sometimes destroyed. However with cloud computing critical data is preserved, because it is stored on the cloud, not on the device.Low Cost for Set-up & Maintenance: Users only pay for the infrastructure they use. Organizations can easily scale applications and happily avoid the hassle of maintaining servers and equipment.Enterprise AdoptionCorporations are taking the savings and the efficiency output gained by cloud computing and multiplying the fiscal advantages in using the same technology for mobile applications(1). Mobile cloud computing offers the data sharing and processing power anywhere you need it—great for streamlining supply chain management, improving customer relationships and much more.
easier for developers to bring the same content and services to multiple platforms. Time to market – quickly build and deploy mobile apps and sites to adapt to ever-changing device technology and user needsEase of deployment – easily publish and distribute mobile apps and sites with greater flexibility and tighter controlReliability – run mobile apps and sites with minimal service disruption for all usersScalability – extend mobile apps and sites to millions of users and transactions across the globeSupport – rely on Antenna's systems and people to optimize operations and mobile app and sites usageLower cost of ownership – reduce burden on internal IT resources and shift them to more strategic objectives
healthcare is entering an IT renaissance. Mobile and cloud technologies are at the heart of healthcare's transformation. Tablets are replacing paper medical charts, private clouds are enabling secure access to medical records, and mobile cloud collaboration tools are improving information sharing among medical professionals and academics.Mobile and cloud healthcare services are also being used to solve a wide range of challenges, such as fraud, remote diagnostics, and patient CRM.http://www.mobilehealthcaretoday.com/topics/cloud-based-services.aspxWithout a wired infrastructure, government & non-government agencies in Africa are looking to improve the quality of life with the cloud & mobile apps.
classroom of today and tomorrow needs to get beyond the filtering mentality and set learning free.In 2010 many educational institutions are introducing M-learning to campuses. Mobile devices in the classroom can be used in place of clicker devices, to take part in class polling, as a back channel to add information and questions to ongoing classes, and as a means to access information through QR codes or augmented reality applications. Smart mobile devices open up the possibility of discovery-based learning as part of museum or historic location visits, and as part of problem solving discovery games. Mobile devices can be used to access information and multimedia related to locations, study through mobile apps, access online class materials, and communicate through email, text, and social networks.
Schlage offers a remote keyless entry system which lets you mobilely control your home from a distance. You can let someone into your house, manage your lights, your thermostat, your camera system, etc. There are also a few applications in the iPhone app store that let you remotely manage your PC and your DVR, too.home security systems
mobile for accessing spreadsheets, delivering presentations and performing data processing. To cater to the intensive computing needs on the mobile, advanced apps run from the cloud.companies such as Vodafone and Verizon are putting a lot of focus on developing the mobile cloud as a value-add option.4G LTE standards and the increasing bandwidth availability has opened new doors for mobile cloud applications.moving apps from the PC to the tablet, enterprises are putting more effort on their mobile cloud services.The increasing adoption of HTML5 standards is making it easy to design apps that rely on the mobile cloud. HTML 5 supports offline caching that enables the apps to use the mobile cloud better while still providing a gracefully degraded service when the device is not connected to the network.mCommerce applications are enabled by the mobile cloud infrastructure.dropping their mobile phone than breaking their PC. This necessitates the need to store the apps and data on the cloud.the demands have moved from mere data consumption on the mobile devices to performing information creation on the mobile.
Making objects smart. We're bringing intelligence to them and connectivity to them. You need both to make that happen.