Scheduled tasks are a ubiquitous part of our daily lives, whether generating reports for monthly data analytic or
sending newsletters to subscribed customers is needed. Domain-Specific Languages (DSL) are a viable approach that promise
to solve a problem of target platform diversity as well as to facilitate rapid application development and shorter time-to-
market. This paper presents Kronos, a cross-platform DSL for scheduled tasking implemented using textX meta-language.
Tasks described using Kronos DSL can be automatically created and started with provided task-specific information.
Scheduled tasks are a ubiquitous part of our daily lives, whether generating reports for monthly data analytic or
sending newsletters to subscribed customers is needed. Domain-Specific Languages (DSL) are a viable approach that promise
to solve a problem of target platform diversity as well as to facilitate rapid application development and shorter time-to-
market. This paper presents Kronos, a cross-platform DSL for scheduled tasking implemented using textX meta-language.
Tasks described using Kronos DSL can be automatically created and started with provided task-specific information.
My talk about Tarantool and Lua at Percona Live 2016Konstantin Osipov
In my talk I will focus on a practical use case: task queue
application, using Tarantool as an application server and a
database.
The idea of the task queue is that producers put tasks (objects)
into a queue, and consumers take tasks, perform them, mark as
completed.
The queue must guarantee certain properties: if a consumer failed,
a task should return to the queue automatically, a task can't be
taken by more than one consumer, priorities on tasks should be
satisfied.
With Tarantool, a task queue is a distributed networked
application: there are multiple consumer/producer endpoints
(hosts) through which a user can interact with the queue.
The queue itself is a fault-tolerant distributed database:
every task is stored in Tarantool database and replicated
in multiple copies.
If a machine goes down, the state of a task is tracked on a
replica, and the user can continue working with the
queue through a replica.
Total power failure is also not an issue, since tasks are stored
persistently on disk with transactional semantics.
Performance of such an application is in hundreds of thousands of
transactions per second.
At the same time, the queue is highly customizable, since it's
written entirely in Lua, is a Lua rock, but the code is running
inside the database. This is the strength of Lua:
one size doesn't have to fit all, and you don't have to sacrifice
performance if you need customization.
The second part of the talk will be about implementation details,
performance numbers, a performance comparison with other queue
products (beanstalkd, rabbitmq) in particular, and an overview
of the implementation from language bindings point of view: how we
make database API available in Lua, what are the challenges and
performance hurdles of such binding.
Ganga: an interface to the LHC computing gridMatt Williams
Ganga is a tool, designed and used by the large particle physics experiments at CERN. Written in pure Python, it delivers a clean, usable interface to allow thousands of physicists to interact with the huge computing resources available to them.
Video at https://www.youtube.com/watch?v=SSdluuVNU3Y
A deep dive into the history of containers as well as an introduction to how they work under the covers. This includes a discussion around Control Groups and Process Namespaces, as well as touching on some underlying syscalls, such as Fork and Clone.
You’ve spent considerable time picking your orchestrator, choosing the right cloud provider and configuring all the intricate details of your new Docker environment, but what about monitoring? In this talk we will cover the tools available on the market: upsides, downsides and upcoming changes. We’ll open the floor to questions, comments and feedback for each tool, so you have a complete view on the monitoring landscape.
Exploring Parallel Merging In GPU Based Systems Using CUDA C.Rakib Hossain
We present a program that implemented to execute Adaptive merge sort algorithm in parallel on a GPU based system. Parallel implementation is used to get better performance than serial implementation in runtime perspective. Parallel implementation executes independent executable operation in parallel using large number of cores in GPU based system. Results from a parallel implementation of the algorithm is given and compared with its serial implementation on run time basis. The parallel version is implemented with CUDA platform in a system based on NVIDIA GPU (GTX 650)
My talk about Tarantool and Lua at Percona Live 2016Konstantin Osipov
In my talk I will focus on a practical use case: task queue
application, using Tarantool as an application server and a
database.
The idea of the task queue is that producers put tasks (objects)
into a queue, and consumers take tasks, perform them, mark as
completed.
The queue must guarantee certain properties: if a consumer failed,
a task should return to the queue automatically, a task can't be
taken by more than one consumer, priorities on tasks should be
satisfied.
With Tarantool, a task queue is a distributed networked
application: there are multiple consumer/producer endpoints
(hosts) through which a user can interact with the queue.
The queue itself is a fault-tolerant distributed database:
every task is stored in Tarantool database and replicated
in multiple copies.
If a machine goes down, the state of a task is tracked on a
replica, and the user can continue working with the
queue through a replica.
Total power failure is also not an issue, since tasks are stored
persistently on disk with transactional semantics.
Performance of such an application is in hundreds of thousands of
transactions per second.
At the same time, the queue is highly customizable, since it's
written entirely in Lua, is a Lua rock, but the code is running
inside the database. This is the strength of Lua:
one size doesn't have to fit all, and you don't have to sacrifice
performance if you need customization.
The second part of the talk will be about implementation details,
performance numbers, a performance comparison with other queue
products (beanstalkd, rabbitmq) in particular, and an overview
of the implementation from language bindings point of view: how we
make database API available in Lua, what are the challenges and
performance hurdles of such binding.
Ganga: an interface to the LHC computing gridMatt Williams
Ganga is a tool, designed and used by the large particle physics experiments at CERN. Written in pure Python, it delivers a clean, usable interface to allow thousands of physicists to interact with the huge computing resources available to them.
Video at https://www.youtube.com/watch?v=SSdluuVNU3Y
A deep dive into the history of containers as well as an introduction to how they work under the covers. This includes a discussion around Control Groups and Process Namespaces, as well as touching on some underlying syscalls, such as Fork and Clone.
You’ve spent considerable time picking your orchestrator, choosing the right cloud provider and configuring all the intricate details of your new Docker environment, but what about monitoring? In this talk we will cover the tools available on the market: upsides, downsides and upcoming changes. We’ll open the floor to questions, comments and feedback for each tool, so you have a complete view on the monitoring landscape.
Exploring Parallel Merging In GPU Based Systems Using CUDA C.Rakib Hossain
We present a program that implemented to execute Adaptive merge sort algorithm in parallel on a GPU based system. Parallel implementation is used to get better performance than serial implementation in runtime perspective. Parallel implementation executes independent executable operation in parallel using large number of cores in GPU based system. Results from a parallel implementation of the algorithm is given and compared with its serial implementation on run time basis. The parallel version is implemented with CUDA platform in a system based on NVIDIA GPU (GTX 650)
New features presentation: meteodyn WT 4.8 software - Wind EnergyJean-Claude Meteodyn
New feature of meteodyn WT, CFD software for wind resource assessment and wind park optimisation. Worldwide terrain database, convergence improvements and others improvements.
Splunk App for Stream for Enhanced Operational Intelligence from Wire DataSplunk
Join us to learn what is new in Splunk App for Stream and how it can help you utilize wire/network data analytics to proactively resolve applications and IT operational issues and to efficiently analyze security threats in real-time, across your cloud and on-premises infrastructures.
Thermal stratification in cfd modelling for wind resource assessmentJean-Claude Meteodyn
Up to know CFD computations in wind resource assessment mainly focused on wind statistics treatment, and then considered average thermal structure of the atmosphere. With an increasing demand for a more accurate description of these statistics, including time series, there is a need for considering more specific situations, and particularly stable thermal stratifications (ref 1). We present here a new turbulence model allowing to consider the strongly stable cases in CFD computations.
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
https://viralsocialtrends.com/vat-registration-outlined-in-uae/
B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Recruiting in the Digital Age: A Social Media MasterclassLuanWise
In this masterclass, presented at the Global HR Summit on 5th June 2024, Luan Wise explored the essential features of social media platforms that support talent acquisition, including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
An introduction to the cryptocurrency investment platform Binance Savings.Any kyc Account
Learn how to use Binance Savings to expand your bitcoin holdings. Discover how to maximize your earnings on one of the most reliable cryptocurrency exchange platforms, as well as how to earn interest on your cryptocurrency holdings and the various savings choices available.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
