Kronos : A DSL for scheduled tasks based on textX
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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.
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Dynamic formation of distributed micro clouds
My presentation for Annual Award at Mathematical Institute of the Serbian
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Cloud computing is facing some serious latency issues due to huge volumes of data that need to be transferred from the place where data is generated to the cloud. For some types of applications, this is not acceptable.
One of the possible solutions to this problem is the idea to bring cloud services closer to the edge of the network, where data origi- nates. This idea is called edge computing, and it is advertised that it dramatically reduces the network latency as a bridge that links the users and the clouds, and as such, it makes the foundation for future interconnected applications.
Edge computing is a relatively new area of research and still faces many challenges like geo-organization and a clear separation of concerns, but also remote configuration, well defined native applications model, and limited node capacity. Because of these issues, edge computing is hard to be offered as a service for future real-time user-centric applications.
This thesis presents the dynamic organization of geo-distributed edge nodes into micro data-centers and forming micro-clouds to cover any arbitrary area and expand capacity, availability, and reliability. We use a cloud organization as an influence with adaptations for a different environment with a clear separation of concerns, and native applications model that can leverage the newly formed system.
We argue that the presented model can be integrated into existing solutions or used as a base for the development of future systems.
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This thesis presents research in the field of distributed systems. We present the dynamic organization of geo- distributed edge nodes into micro data-centers forming micro clouds to cover any arbitrary area and expand capacity, availability, and reliability. A cloud organization is used as an influence with adaptations for a different environment with a clear separation of concerns, and native applications model that can leverage the newly formed system. With the separation of concerns setup, edge-native applications model, and a unified node organization, we are moving towards the idea of edge computing as a service, like any other utility in cloud computing. We also give formal models for all protocols used for the creation of such a system.
Dynamic formation of the distributed micro clouds
Dynamic formation of the distributed micro cloudsFaculty of Technical Sciences, University of Novi Sad
Cloud computing is facing some serious latency issues due to huge volumes of data that need to be transferred from the place where data is generated to the cloud. For some types of applications, this is not acceptable.
One of the possible solutions to this problem is the idea to bring cloud services closer to the edge of the network, where data origi- nates. This idea is called edge computing, and it is advertised that it dramatically reduces the network latency as a bridge that links the users and the clouds, and as such, it makes the foundation for future interconnected applications.
Edge computing is a relatively new area of research and still faces many challenges like geo-organization and a clear separation of concerns, but also remote configuration, well defined native applications model, and limited node capacity. Because of these issues, edge computing is hard to be offered as a service for future real-time user-centric applications.
This thesis presents the dynamic organization of geo-distributed edge nodes into micro data-centers and forming micro-clouds to cover any arbitrary area and expand capacity, availability, and reliability. We use a cloud organization as an influence with adaptations for a different environment with a clear separation of concerns, and native applications model that can leverage the newly formed system.
We argue that the presented model can be integrated into existing solutions or used as a base for the development of future systems.
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Towards Edge Computing as a Service: Dynamic Formation of the Micro Data-CentersFaculty of Technical Sciences, University of Novi Sad
The document proposes a model for dynamically organizing edge computing nodes into micro clouds to provide edge computing as a service. The model involves grouping nodes into clusters, clusters into regions, and regions into a topology. Micro clouds are ephemeral cloud-like structures serving local requests before reaching the traditional cloud. Protocols for health checking, cluster formation, and listing the system state are proposed. The model is inspired by cloud architecture and aims to lower latency by processing data closer to its source.Edge computing system for large scale distributed sensing systems
Edge computing system for large scale distributed sensing systemsFaculty of Technical Sciences, University of Novi Sad
Concept of edge computing is to leverage new generation technologies, processes, services, and applications that are built to take an advantage of new infrastructure.
Put processing closer to the edge of the network pre-process data and send to the cloud.Big Graph Data with Titan DB
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Mcroservices with docker kubernetes, goang and grpc, overview
Mcroservices with docker kubernetes, goang and grpc, overviewFaculty of Technical Sciences, University of Novi Sad
This document discusses technologies used for distributed systems and microservices including Golang, Protocol Buffers (Protobuf), gRPC, HTTP/2, Docker, and Kubernetes. It provides overviews of each technology, their uses, benefits, and how they enable building distributed systems through containerization and orchestration of microservices. When building distributed systems, these technologies help address challenges through a microservices architecture, horizontal scaling, language independence, and focusing on code deployment over servers.Hackaton Keystone Big Linked Data Spain
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CLOVER: PROPERTY GRAPH BASED METADATA MANAGEMENT SERVICE
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As the file systems continue to grow, metadata search is becoming increasingly important way to access and manage files. Applications are capable to generate huge amount of files and metadata about various things. Simple metadata (e.g., file size, name, permission mode), has been well recorded and used in current systems. However, only limited amount of metadata, which not record only attributes of entities but also relationships between them, are captured in current systems. Collecting, processing and querying such large amount of files and metadata is challenge in current systems. This paper present Clover, a metadata management service that unifies files/folders, tags, relationships between them and metadata into generic property graph. Service can also be extended with new entities and metadata, by allowing users to add their own of nodes, properties and relationships. This approach allow not only simple operations such as directory traversal and permission validation, but also fast querying large amount of files and metadata by name, size, date created, tags etc. or any other metadata provided by users.More from Faculty of Technical Sciences, University of Novi Sad (10)
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1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
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学校原版美国波士顿大学毕业证学历学位证书原版一模一样
原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
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- 3. Language dependent using Schyntax; var schtick = new Schtick(); // setup an exception handler so we know when tasks blow up schtick.OnTaskException += (task, exception) => LogException(ex); // add a task which will call DoSomeTask every hour at 15 minutes past the hour schtick.AddTask("unique-task-name", "min(15)", (task, timeIntendedToRun) => DoSomeTask());
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