ACG Research analyzes three Juniper NFV and SDN High-IQ Networking Use Cases that show the benefits derived from deploying a programmable network that enables agility for dynamic service provisioning, minimizing barriers to innovate new services, and scale traffic demand elastically across the network.
Do you run an MPLS network to some or all of your branches? If so, you are likely wasting MPLS capacity backhauling Internet traffic.
For many organizations, a lot of the traffic is Internet-bound due to increased cloud-usage. Backhauling Internet traffic over an expensive MPLS service adds latency and puts pressure on limited and expensive MPLS capacity.
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Comp...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
IT Brand Pulse industry brief describing a new approach to configuring virtual networks for virtual machines...layering hypervisor-based virtual networking services on top of hardware based virtual networking services. The result is more efficient management and lower costs.
Do you run an MPLS network to some or all of your branches? If so, you are likely wasting MPLS capacity backhauling Internet traffic.
For many organizations, a lot of the traffic is Internet-bound due to increased cloud-usage. Backhauling Internet traffic over an expensive MPLS service adds latency and puts pressure on limited and expensive MPLS capacity.
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Comp...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
IT Brand Pulse industry brief describing a new approach to configuring virtual networks for virtual machines...layering hypervisor-based virtual networking services on top of hardware based virtual networking services. The result is more efficient management and lower costs.
HP Network Management Center provides
IT organizations with network management
solutions that unify fault, availability, and
performance capabilities with change,
configuration, and compliance while
automating the technology process
workflow across these capabilities. This
integrated approach, called automated
network management (ANM), enables
companies to securely manage more
customers, departments or sites at
lower cost, automate root cause
analysis, compliance, diagnostics
and remediation, and adapt to new
initiatives like Cloud Computing
Effective Access Point Selection for improving Throughput in Wireless LANEswar Publications
In recent years, WLANs are widely deployed everywhere due to the low-cost and easy installation. Selecting the best access point is the major research problem. The stations in the network should get associate with the suitable access points that results in higher throughput. In IEEE 802.11 wireless networks, the simple association strategy is to get associate to the AP with the strongest RSSI value, which may cause load imbalance and may eventually leads to traffic overhead. Access point selection is still a critical problem.So, a new metric or combination of metrics has to be derived that facilitates the effective selection of an AP to achieve better throughput.
The VPOD: Breakthrough Operational Efficiency Improvement For Data CentersCALIENT Technologies
CALIENT’s LightConnect™ Fabric is a new approach to improving server and storage utilization rates in data centers which represent 85% of the electronics cost and 70% of the energy consumption. It achieves this by allowing Pod resources to be flexibly shared and reassigned at the optical layer in response to the needs of workloads.
HYBRID OPTICAL AND ELECTRICAL NETWORK FLOWS SCHEDULING IN CLOUD DATA CENTRESijcsit
Hybrid intra-data centre networks, with optical and electrical capabilities, are attracting research interest
in recent years. This is attributed to the emergence of new bandwidth greedy applications and novel
computing paradigms. A key decision to make in networks of this type is the selection and placement of
suitable flows for switching in circuit network. Here, we propose an efficient strategy for flow selection and
placement suitable for hybrid Intra-cloud data centre networks. We further present techniques for
investigating bottlenecks in a packet networks and for the selection of flows to switch in circuit network.
The bottleneck technique is verified on a Software Defined Network (SDN) testbed. We also implemented
the techniques presented here in a scalable simulation experiment to investigate the impact of flow
selection on network performance. Results obtained from scalable simulation experiment indicate a
considerable improvement on average throughput, lower configuration delay, and stability of offloaded
flows..
IEEE 2015-2016 A Profit Maximization Scheme with Guaranteed Quality of Servic...1crore projects
1 CRORE PROJECTS offers M.E, BE, M. Tech, B. Tech, PhD, MCA, BCA, MSC & MBA projects based on IEEE (2014-2015) and also a real time application projects.
Final Year Projects for BE, B. Tech - ECE, EEE, CSE, IT, MCA, ME, M. Tech, M SC (IT), BCA, BSC and MBA.
Differentiating Algorithms of Cloud Task Scheduling Based on various Parametersiosrjce
Cloud computing is a new design structure for large, distributed data centers. Cloud computing
system promises to offer end user “pay as go” model. To meet the expected quality requirements of users, cloud
computing need to offer differentiated services to users. QoS differentiation is very important to satisfy
different users with different QoS requirements. In this paper, various QoS based scheduling algorithms,
scheduling parameters and the future scope of discussed algorithms have been studied. This paper summarizes
various cloud scheduling algorithms, findings of algorithms, scheduling factors, type of scheduling and
parameters considered
COST-MINIMIZING DYNAMIC MIGRATION OF CONTENT DISTRIBUTION SERVICES INTO HYBR...Nexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Dynamic resource allocation for opportunistic software-defined IoT networks: s...IJECEIAES
Several wireless technologies have recently emerged to enable efficient and scalable Internet-of-Things (IoT) networking. Cognitive radio (CR) technology, enabled by software-defined radios, is considered one of the main IoT-enabling technologies that can provide opportunistic wireless access to a large number of connected IoT devices. An important challenge in this domain is how to dynamically enable IoT transmissions while achieving efficient spectrum usage with a minimum total power consumption under interference and traffic demand uncertainty. Toward this end, we propose a dynamic bandwidth/channel/power allocation algorithm that aims at maximizing the overall network’s throughput while selecting the set of power resulting in the minimum total transmission power. This problem can be formulated as a two-stage binary linear stochastic programming. Because the interference over different channels is a continuous random variable and noting that the interference statistics are highly correlated, a suboptimal sampling solution is proposed. Our proposed algorithm is an adaptive algorithm that is to be periodically conducted over time to consider the changes of the channel and interference conditions. Numerical results indicate that our proposed algorithm significantly increases the number of simultaneous IoT transmissions compared to a typical algorithm, and hence, the achieved throughput is improved.
Dsp Project Titles, 2009 2010 Ncct Final Year Projectsncct
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For more discussions and topics around Service Providers, please visit our SP Community: http://cisco.com/go/serviceprovidercommunity
Download the full PDF report here: https://communities.cisco.com/docs/DOC-37834
HP Network Management Center provides
IT organizations with network management
solutions that unify fault, availability, and
performance capabilities with change,
configuration, and compliance while
automating the technology process
workflow across these capabilities. This
integrated approach, called automated
network management (ANM), enables
companies to securely manage more
customers, departments or sites at
lower cost, automate root cause
analysis, compliance, diagnostics
and remediation, and adapt to new
initiatives like Cloud Computing
Effective Access Point Selection for improving Throughput in Wireless LANEswar Publications
In recent years, WLANs are widely deployed everywhere due to the low-cost and easy installation. Selecting the best access point is the major research problem. The stations in the network should get associate with the suitable access points that results in higher throughput. In IEEE 802.11 wireless networks, the simple association strategy is to get associate to the AP with the strongest RSSI value, which may cause load imbalance and may eventually leads to traffic overhead. Access point selection is still a critical problem.So, a new metric or combination of metrics has to be derived that facilitates the effective selection of an AP to achieve better throughput.
The VPOD: Breakthrough Operational Efficiency Improvement For Data CentersCALIENT Technologies
CALIENT’s LightConnect™ Fabric is a new approach to improving server and storage utilization rates in data centers which represent 85% of the electronics cost and 70% of the energy consumption. It achieves this by allowing Pod resources to be flexibly shared and reassigned at the optical layer in response to the needs of workloads.
HYBRID OPTICAL AND ELECTRICAL NETWORK FLOWS SCHEDULING IN CLOUD DATA CENTRESijcsit
Hybrid intra-data centre networks, with optical and electrical capabilities, are attracting research interest
in recent years. This is attributed to the emergence of new bandwidth greedy applications and novel
computing paradigms. A key decision to make in networks of this type is the selection and placement of
suitable flows for switching in circuit network. Here, we propose an efficient strategy for flow selection and
placement suitable for hybrid Intra-cloud data centre networks. We further present techniques for
investigating bottlenecks in a packet networks and for the selection of flows to switch in circuit network.
The bottleneck technique is verified on a Software Defined Network (SDN) testbed. We also implemented
the techniques presented here in a scalable simulation experiment to investigate the impact of flow
selection on network performance. Results obtained from scalable simulation experiment indicate a
considerable improvement on average throughput, lower configuration delay, and stability of offloaded
flows..
IEEE 2015-2016 A Profit Maximization Scheme with Guaranteed Quality of Servic...1crore projects
1 CRORE PROJECTS offers M.E, BE, M. Tech, B. Tech, PhD, MCA, BCA, MSC & MBA projects based on IEEE (2014-2015) and also a real time application projects.
Final Year Projects for BE, B. Tech - ECE, EEE, CSE, IT, MCA, ME, M. Tech, M SC (IT), BCA, BSC and MBA.
Differentiating Algorithms of Cloud Task Scheduling Based on various Parametersiosrjce
Cloud computing is a new design structure for large, distributed data centers. Cloud computing
system promises to offer end user “pay as go” model. To meet the expected quality requirements of users, cloud
computing need to offer differentiated services to users. QoS differentiation is very important to satisfy
different users with different QoS requirements. In this paper, various QoS based scheduling algorithms,
scheduling parameters and the future scope of discussed algorithms have been studied. This paper summarizes
various cloud scheduling algorithms, findings of algorithms, scheduling factors, type of scheduling and
parameters considered
COST-MINIMIZING DYNAMIC MIGRATION OF CONTENT DISTRIBUTION SERVICES INTO HYBR...Nexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Dynamic resource allocation for opportunistic software-defined IoT networks: s...IJECEIAES
Several wireless technologies have recently emerged to enable efficient and scalable Internet-of-Things (IoT) networking. Cognitive radio (CR) technology, enabled by software-defined radios, is considered one of the main IoT-enabling technologies that can provide opportunistic wireless access to a large number of connected IoT devices. An important challenge in this domain is how to dynamically enable IoT transmissions while achieving efficient spectrum usage with a minimum total power consumption under interference and traffic demand uncertainty. Toward this end, we propose a dynamic bandwidth/channel/power allocation algorithm that aims at maximizing the overall network’s throughput while selecting the set of power resulting in the minimum total transmission power. This problem can be formulated as a two-stage binary linear stochastic programming. Because the interference over different channels is a continuous random variable and noting that the interference statistics are highly correlated, a suboptimal sampling solution is proposed. Our proposed algorithm is an adaptive algorithm that is to be periodically conducted over time to consider the changes of the channel and interference conditions. Numerical results indicate that our proposed algorithm significantly increases the number of simultaneous IoT transmissions compared to a typical algorithm, and hence, the achieved throughput is improved.
Dsp Project Titles, 2009 2010 Ncct Final Year Projectsncct
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For more discussions and topics around Service Providers, please visit our SP Community: http://cisco.com/go/serviceprovidercommunity
Download the full PDF report here: https://communities.cisco.com/docs/DOC-37834
Practical active network services within content-aware gatewaysTal Lavian Ph.D.
The Internet has seen an increase in complexity due to the introduction of new types of networking devices and services, particularly at points of discontinuity known as network edges. As the networking industry continues to add revenue generating services at network edges, there is an increasing need to provide a systematic method for dynamically introducing and providing these new services in lieu of the ad-hoc approach that is in use today. To this end we support a phased approach to "activating" the Internet and suggest that there exists an immediate need for realizing Active Networks concepts at the network edges. In this context, we present our efforts towards the development of a Content-aware Active Gateway (CAG) architecture. With the help of two practical services running on our initial prototype, built from commercial networking devices, we give a qualitative and quantitative view of the CAG potential.
Talhunt is a leader in assisting and executing IEEE Engineering projects to Engineering students - run by young and dynamic IT entrepreneurs. Our primary motto is to help Engineering graduates in IT and Computer science department to implement their final year project with first-class technical and academic assistance.
Project assistance is provided by 15+ years experienced IT Professionals. Over 100+ IEEE 2015 and 200+ yester year IEEE project titles are available with us. Projects are based on Software Development Life-Cycle (SDLC) model.
Talhunt is a leader in assisting and executing IEEE Engineering projects to Engineering students - run by young and dynamic IT entrepreneurs. Our primary motto is to help Engineering graduates in IT and Computer science department to implement their final year project with first-class technical and academic assistance.
Project assistance is provided by 15+ years experienced IT Professionals. Over 100+ IEEE 2015 and 200+ yester year IEEE project titles are available with us. Projects are based on Software Development Life-Cycle (SDLC) model.
To meet growing bandwidth demands, carriers need networks that can adapt to new business models, scale on demand to support new services and customers as well as protect margins. Achieving this can be very challenging — especially for those with a large and sprawling installed base of legacy infrastructure.
This whitepaper addresses the following challenges: • Sprawling network infrastructure
• Inflexible networking equipment
• Business risks posed by unsupported legacy infrastructure
• Unreliable performance and Quality of Service (QoS)
• Inefficient networking with poor resource utilisation
• Costly and inefficient use of facilities
The Aruba Network Rightsizing Best Practices Guide provides an overview of network rightsizing. Network rightsizing is a network capacity planning and cost optimization strategy based on the principle that wired and wireless LANs should be sized and structured to meet current and future demand. After explaining the principles of network rightsizing and how it can benefit your organization, the methodology for analyzing and planning a rightsized network will be discussed. Finally, you will learn how to implement a rightsized yet scalable Aruba 802.11n network.
To learn more, visit us at http://www.arubanetworks.com/wlan. Join the discussion at https://community.arubanetworks.com
Learn how to Build a Smarter Data Center with Juniper Networks Qfabric. This IBM Redguide publication highlights the key requirements for a smarter data center and shows how the characteristics of the data center fabric, a new switching architecture, provide the performance, scalability, flexibility, and manageability that is required. For more information on SAP HANA, visit http://ibm.co/1brCGOt.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
Build your virtualized telecommunications network with NetApp and you will gain a proven carrier-grade approach to data availability, performance, security, and management.
Five Ways Virtual CPE Reduces Costs and Enables Innovative Enterprise ServicesGCC Computers
How service providers can contain costs and complexity
by virtualizing CPE functions.
Follow GCC Computers
http://www.facebook.com/GccComputersLtd
http://www.linkedin.com/company/gcc-computers-ltd
http://twitter.com/gcc_computers
http://www.youtube.com/channel/UCjWj_h4lrCdw65x2xbM3lhQ
http://www.gcc.com.cy/
Why Juniper, Driven by Mist AI, Leads the MarketJuniper Networks
While the rest of the industry has started to copy our AIOps Client to Cloud message recently, we understand that others are nowhere close to delivering on the promise of the AI-Driven Enterprise, both in terms of depth of features and breadth of portfolio. Take a look at this SlideShare to truly understand why Juniper, driven by Mist AI, leads the market.
Experiences are everything and Juniper knows this. From when a user engages with an app on their smartphone to when a workload is generated in the cloud to pick up the request, we know that every point of contact along the way impacts the user’s experience, from client to cloud. Learn more about what Juniper has recently announced in this SlideShare!
As much the workforce continues to work remotely, The COVID-19 Pandemic has taught us that the WAN is more important than ever, and troubleshooting it couldn’t be more difficult. Learn how MARVIS & Mist AI simplify the burdensome process of troubleshooting the WAN.
Real AI. Real Results. Mist AI Customer Testimonials.Juniper Networks
See what Juniper customers have to say about how Mist AI has statistically improved the way they run their business. For more information on how Mist AI can improve your network, join us for Transformation Thursdays at: https://www.juniper.net/us/en/forms/ai-driven-demo/
Juniper Networks is introducing the fourth expansion of the AI-driven enterprise to bring artificial intelligence to the LAN, WLAN and now WAN for end-to-end optimization of user experiences and proactive troubleshooting driven by Mist AI.
With the new Juniper Mist WAN Assurance service, customers will receive even better automation and insight in branch locations with AI-driven service level expectations, client-to-cloud event correlation for rapid fault resolution, anomaly detection, and proactive support.
Are you able to deliver reliable experiences for connected devicesJuniper Networks
Here are 5 things you can do with Mist Wired Assurance. With Wired Assurance, you can leverage Juniper EX switch telemetry to enable simpler operations, shorter mean time to repair, and better visibility into end-user experiences for your connected devices, including access points, servers, and IoT endpoints.
It's time to scale way back on those support tickets from your branch users. Security shouldn’t come at the cost of performance. Register now to attend a live demo. You may be eligible to receive a free SRX!
https://www.juniper.net/sdwan-thursdays
Securing IoT at Scale Requires a Holistic ApproachJuniper Networks
Enterprises are moving from small IoT pilots to large-scale
implementations. What are the biggest security
concerns, and how can you overcome them?
Juniper partnered with the IoT Institute to find out. We surveyed 176 technology decision makers and
influencers who have been personally involved in their IoT security strategy and implementations. Here's what the survey found:
We recently conducted a 16-country survey to gauge the appetite for Digital Cohesion. The results suggest business and consumer users see Digital Cohesion as an inevitable, positive societal development.
SDN and NFV: Transforming the Service Provider OrganizationJuniper Networks
As competition increases, service providers must be able to respond quickly to competitive pressures and rapidly evolving customer demands. Learn how NFV and SDN allows service providers to embrace a holistic approach to their business transformation and maximize existing capabilities: http://juni.pr/1JQZYOl
Navigating the Uncertain World Facing Service Providers - Juniper's PerspectiveJuniper Networks
Service providers are facing more and more pressure as customers demand immediacy. Learn how adopting a carrier-grade, open network platform closes the innovation gap to create value for your network. http://juni.pr/1JQZYOl
Network service providers—those with access networks like DSL, cable, or mobile—continue
to face a dual threat: rising operating expenses associated with explosive bandwidth growth
and declining revenues driven by commoditization. A true Telco cloud, featuring automation
and dynamic scalability, becomes a comprehensive delivery platform enabling network service
providers to offer differentiated services that solve their customer’s business demands.
With mobile subscriptions expected to reach 8.5 billion users by the end of 2016, mobile attack surfaces are growing at an alarming rate. Juniper’s SRX5800 is primed for this increase - with speeds up to 2 Tbps the SRX5800 enables customers to inspect more traffic faster. Mobile has met its match. http://juni.pr/1MKBQDu
High performance data center computing using manageable distributed computingJuniper Networks
Terrapin Trading Show Chicago, Thursday, June 4
Andy Bach, FSI Architect, Juniper Networks
Distributed computing concepts (QFX5100-AA)
Scale and performance enhancements (QFX10000 Series)
Automation capabilities (tie in QFX-PFA)
Larry Van Deusen, Director of the Network Integration Business Unit, Dimension Data
Automation
Value Added Partner Services
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Monitoring Java Application Security with JDK Tools and JFR Events
Business Case for NFV/SDN Programmable Networks
1. 1
Executive Summary
Traditional network designs are failing to meet service providers’ business
requirements. The designs lead to complex hardware stacks, over-provisioning
of capacity, lengthy service cycles, and expensive truck rolls. Adherence to
these designs, which results in high cost, broken business processes, and
lagging innovation, is eroding service providers’ competitive positions.
Juniper Networks has launched High-IQ, a programmable networking approach,
that leverages network function virtualization (NFV) and software defined
networking (SDN) to create networks that are automated, scalable, and
customizable, enabling rapid service provisioning based upon actionable
intelligence. Programmable networks allow service providers to automate
network operations for simplicity and agility in response to dynamic service
needs while reducing operational costs; scale the network infrastructure with
silicon, SDN, and network fabric virtualization to deliver the performance and
efficiency needed to economically meet demand; and rapidly create new,
customizable services to increase revenue and brand equity.
ACG Research analyzes three programmable High-IQ network use cases that
were created by Juniper Networks. The analyses show the benefits derived
from the deployment of programmable networks for service providers. A cloud
customer premise equipment (CPE) and virtual firewall (vCPE) use case replaces
physical CPE with a simple on-premise Ethernet device and moves IP virtual
private network (VPN) and firewall functions to the cloud. This produces a 36
percent five-year net present value (NPV) increase as compared to the physical
CPE solution. A real-time network self-optimization use case replaces manual
traffic engineering processes. This produces a 27 percent five-year total cost of
ownership (TCO) savings compared to the manual processes. An elastic traffic
engineering use case for a national all IP core network demonstrates the
advantages of an SDN solution as compared to the present mode of operations.
The SDN solution reduces bandwidth and associated link capital expenses
(capex) by 35 percent while maintaining all network service level agreements.
Business Case for NFV/SDN Programmable Networks
KEY FINDINGS
Juniper Networks’
programmable NFV/SDN
networks enable service
providers to automate
network operations for an
agile response to dynamic
service needs, reduce
operational costs, and
scale the network.
Three Juniper Networks’
use cases are analyzed.
Compared to the present
mode of operations,
programmable High-IQ
networks:
Increase NPV by 36%
using virtualized CPE
and firewall (vCPE)
Reduce TCO by 27%
via real-time network
self-optimization
Reduce network link
capex by 35% using
elastic traffic
engineering
2. 2
Introduction
Traditional network designs are impairing service providers’ competitive positions. Their dependence on
purpose-built hardware and use of manual systems interfaces are driving costs to uncompetitive levels
and eroding customer satisfaction. Networks have become inflexible and rigid with stranded assets and
low-capacity utilization. In addition, service innovation has failed to keep pace with that of new cloud-
based market entrants.
A new approach to network architecture and design is needed to restore competitiveness. It must allow
service providers to:
Increase customer satisfaction and customer retention
Increase revenues by accelerating delivery of new and differentiated services
Reduce upfront capital expenditures and improve asset utilization
Provide customized, on-demand service delivery through customer focused portals
Juniper Networks’ programmable High-IQ networks leverage network function virtualization (NFV) and
software defined networking (SDN) to provide a vehicle that addresses these needs. The combination of
a unified control plane with programmable virtualized network resources enables extensive automation
of service provisioning and network management processes across many devices, multiple layers, and
multiple vendors. Programmable High-IQ networks reduce capital expenses (capex) by improving
network utilization. Specifically, utilization is improved through the elimination of over-provisioning and
near real-time network optimization. In addition, faster service delivery and increased automation
reduce personnel costs and contribute to operational efficiency. Accelerated new service introduction
and rapid customer order completion contribute to the delivery of innovative, customized experiences,
culminating in higher revenue, customer retention, and increased margins.
Use Cases
The benefits of the programmable High-IQ networks approach are illustrated by three use cases:
1. Cloud customer premise equipment (CPE) and virtual firewall (vCPE)
2. Real-time network self-optimization
3. Elastic traffic engineering
Cloud CPE and Virtual Firewall
Existing business services implemented in CPE, such as IP-VPN and security services, are high cost,
require long installation intervals, and are difficult to modify and upgrade. This slow and rigid process
creates customer dissatisfaction and impairs the service provider’s ability to innovate and upsell
services.
The CPE equipment stack is the root cause of the high cost, inflexibility, and long installation intervals.
Adds, moves or changes frequently require replacement of the CPE with associated truck rolls and
several manual updates to databases and network elements on site, at the network operations center
and at the customer services center.
Cloud CPE and virtual firewall reduce field equipment installation and support costs. More importantly,
service providers can rapidly deploy new cloud-based services that are free of traditional physical CPE
3. 3
installation and maintenance limitations. Figure 1 shows the architecture for the new virtualized
solution.
Figure 1 – Cloud CPE and Virtual Firewall Architecture
Cloud CPE and virtual firewall simplify CPE via an Ethernet network interface device. Functions such as
IPv6 NAT1
, DPI based functions, and firewall capabilities are moved to the provider edge router and to
virtualized data centers. A self-care portal allows the customer to set IP VPN data rates, use network
management tools, make policy-level choices for firewall and threat management security services, and
monitor the services in real time.
Figure 2 shows a single-site cost comparison achieved by virtualizing CPE.
Figure 2 – Single-Site Cost Comparison
Up-front CPE costs are reduced by 58 percent because of virtualization, which exploits the better scale
economies of the data center. Virtualization also reduces support costs: 72 percent CPE savings and 86
percent firewall savings.
Figure 3Figure 1 displays a comprehensive view of the benefits of cloud CPE and virtual firewall.
1
Network Address Translation
4. 4
Figure 3 – Cloud CPE and Virtual Firewall Benefit Sources
Simpler CPE results in significantly lower setup costs and reduces inventory, maintenance, and support
costs. Cloud CPE automation and orchestration capabilities eliminate many manual processes.
Consequently, services become faster to develop, deploy, and contribute revenue.
A detailed financial comparison is made between cloud CPE with virtual firewall and traditional physical
CPE and firewall for a US service provider serving 75,000 small, 5,000 medium, and 2,000 large
businesses.
Modeling assumptions include average monthly recurring charges: IP Virtual Private Network (VPN)
$250/site and firewall $75/site; average nonrecurring charges: IP VPN $500/site and firewall $300/site;
and cloud startup costs: $5 million. Figure 4 shows the additional net present value (NPV) contributions
of cloud CPE and virtual firewall compared to the physical CPE solution.
Figure 4 – Increase NPV Showing Individual Component Contributions2
2
Capex has negative NPV because many additional service contracts are sold for the virtual solution. The unit cost
of virtual CPE is 72 percent lower than traditional CPE.
5. 5
Cloud CPE with virtual firewall provides a five-year NPV increase of 36 percent ($298 million) as
compared to the physical CPE solution.
Real-Time Network Self-Optimization
Real-time network optimization is not feasible using traditional network architectures because many
manual interventions are required in the optimization process. The manual interventions prevent rapid
response to changing traffic flows and therefore force operators to throw bandwidth at the problem as
a hedge against possible service outages and service level agreement violations. The result is high cost
due to wasted network capacity.
Real-time network self-optimization automatically identifies the optimal network path in near real time,
allowing service providers to continually optimize traffic flows and thereby increase utilization and avoid
capex caused by over-provisioning. Figure 5 shows an example of a self-optimization response to traffic
congestion on a single link. The self-optimizing controller uses real-time traffic flows to adjust the
network model of the controller, identify a new optimized path that avoids the congestion, and then
program the new optimized route.
Self-Optimizing Controller
1
Topology
Discovery
Path
Installation
2
3
Traffic Congestion
Path Computation
Self-OptimizingController
1
Traffic
Congestion
Detected
New Path
Installed
2
3New Path Computed
Figure 5 – Example Real-Time Self-Optimizing Network Response to Traffic Congestion
A financial comparison is made for a 15 node core network. The self-optimizing network with dynamic
traffic engineering capability and converged control plane is compared to a traditional network with
manual traffic engineering and separate IP and optical control planes. Key assumptions and inputs
include the number, cost, growth, and environmental costs of 10GE and 100GE ports.
The self-optimizing network shows a 27 percent total cost of ownership (TCO) savings compared to the
manually engineered network. The main benefits of an optimized network are lower costs per port,
transport and edge power savings derived from increased network utilization and avoidance of over-
provisioning. The automation of many network capacity and optimization processes also reduces
network engineering labor expenses.
Elastic Traffic Engineering
Traditional traffic engineering practices lack a real-time global view of traffic and employ many manual
steps to reconfigure network paths and capacity allocations. As a result each Label Switched Path (LSP) is
traffic engineered separately. Modern mesh networks provide many economically attractive alternative
paths to connect a traffic source to its destination. One at a time engineering of each LSP evaluates only
6. 6
a fraction of the possible alternatives. Suboptimal path assignments are made, resulting in significant
waste of capacity and unnecessary cost.
An SDN solution employs elastic traffic engineering to globally and dynamically optimize traffic on all
LSPs on a national backbone network. This reduces network link capacity and its associated capex as
compared to the present mode of operations that traffic engineers each LSP separately.
Figure 6 illustrates the elastic traffic engineering concept.
Figure 6 – Elastic Traffic Engineering
Juniper Networks NorthStar controller provides visibility of traffic flows on all LSPs in real time. It uses
this information to globally optimize traffic capacity on all links. Furthermore, it has the flexibility to use
multiple network paths to provision traffic requirements for individual LSPs. For example, Figure 6
shows an LSP between Seattle and Washington, DC. This is treated as a container with capacity
requirement that is met by three actual LSPs traversing three separate network paths. Figure 7 shows
the link capex benefit of the elastic traffic engineering solution compared to the present mode of
operations.
Figure 7 – Capex Savings for Elastic Traffic Engineering