Essays about: "Task execution"

Showing result 16 - 20 of 160 essays containing the words Task execution.

1. 16. Highly Available Task Scheduling in Distinctly Branched Directed Acyclic Graphs

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Patrik Zhong; [2023]
   Keywords : Distributed Scheduling; Fault-tolerance; Graph Partitioning; Task Graphs; Dask; Dask Distributed; Data Processing; Distribuerad Schemaläggning; Feltolerans; Grafpartitionering; Uppgiftsgrafer; Dask; Dask Distributed; Dataprocessering;

   Abstract : Big data processing frameworks utilizing distributed frameworks to parallelize the computing of datasets have become a staple part of the data engineering and data science pipelines. One of the more known frameworks is Dask, a widely utilized distributed framework used for parallelizing data processing jobs. READ MORE

3. 17. ROP-chain generation using Genetic Programming : GENROP

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Jonatan Branting; [2022]
   Keywords : return oriented programming; genetic programming; binary exploitation; ROP; GP;

   Abstract : Return Oriented Programming (ROP) is the de-facto technique used to exploit most of today’s native-code vulnerabilities hiding in old and newly developed software alike. By reusing bits and pieces of already existing code (gadgets), ROP can be used to bypass the ever-present Write ⊕ eXecute (W⊕X) security feature, which enforces memory to only be marked as either executable or writable; never both at the same time. READ MORE

4. 18. Belief Rule-Based Workload Orchestration in Multi-access Edge Computing

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Mohammad Newaj Jamil; [2022]
   Keywords : Multi-access Edge Computing MEC ; Task Offloading; Workload Orchestrator; Belief Rule Base BRB ; Performance Evaluation;

   Abstract : Multi-access Edge Computing (MEC) is a standard network architecture of edge computing, which is proposed to handle tremendous computation demands of emerging resource-intensive and latency-sensitive applications and services and accommodate Quality of Service (QoS) requirements for ever-growing users through computation offloading. Since the demand of end-users is unknown in a rapidly changing dynamic environment, processing offloaded tasks in a non-optimal server can deteriorate QoS due to high latency and increasing task failures. READ MORE

5. 19. An I/O-aware scheduler for containerized data-intensive HPC tasks in Kubernetes-based heterogeneous clusters

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Zheyun Wu; [2022]
   Keywords : Cloud-native; Containers; Kubernetes; High-performance computing HPC ; Data-intensive computing; Task scheduling; Heterogeneous systems; Cloud-native; Containrar; Kubernetes; Högpresterande datoranvändning HPC ; Dataintensiv datoranvändning; Uppgiftsschemaläggning; Heterogena system;

   Abstract : Cloud-native is a new computing paradigm that takes advantage of key characteristics of cloud computing, where applications are packaged as containers. The lifecycle of containerized applications is typically managed by container orchestration tools such as Kubernetes, the most popular container orchestration system that automates the containers’ deployment, maintenance, and scaling. READ MORE

6. 20. A Benchmark Suite for the OmpSs-2@ ArgoDSM task-based distributed shared memory environment

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Konstantinos Palaiodimos; [2022]
   Keywords : ;

   Abstract : Applications with high complexity, heavy computations and processing of large amount of data require powerful computer systems and programming models that allow efficient parallel execution without excessive programming effort. Benchmarking of these systems and models is of vital importance in order to identify their strengths, weaknesses, and potential improvements. READ MORE