Search for dissertations about: "Cloud Computing Performance"

Showing result 1 - 5 of 85 swedish dissertations containing the words Cloud Computing Performance.

2. 1. Performance problem diagnosis in cloud infrastructures

   Author : Olumuyiwa Ibidunmoye; Erik Elmroth; Guilliano Casale; Viktoria Fodor; Henrik Björklund; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Systems Performance; Performance anomalies; Performance bottlenecks; Cloud infrastructures; Cloud Computing; Cloud Services; Cloud Computing Performance; Performance problems; Performance anomaly detection; Performance bottleneck identification; Performance Root-cause Analysis; Computer Systems; datorteknik; Computer Science; datalogi;

   Abstract : Cloud datacenters comprise hundreds or thousands of disparate application services, each having stringent performance and availability requirements, sharing a finite set of heterogeneous hardware and software resources. The implication of such complex environment is that the occurrence of performance problems, such as slow application response and unplanned downtimes, has become a norm rather than exception resulting in decreased revenue, damaged reputation, and huge human-effort in diagnosis. READ MORE

4. 2. Energy-efficient cloud computing : autonomic resource provisioning for datacenters

   Author : Selome Kostentinos Tesfatsion; Johan Tordsson; Eddie Wadbro; Erik Elmroth; Laurent Lefevre; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud computing; datacenter; energy-efficiency; performance management; virtualization;

   Abstract : Energy efficiency has become an increasingly important concern in data centers because of issues associated with energy consumption, such as capital costs, operating expenses, and environmental impact. While energy loss due to suboptimal use of facilities and non-IT equipment has largely been reduced through the use of best-practice technologies, addressing energy wastage in IT equipment still requires the design and implementation of energy-aware resource management systems. READ MORE

5. 3. Autonomous cloud resource provisioning : accounting, allocation, and performance control

   Author : Ewnetu Bayuh Lakew; Erik Elmroth; Hiaohui (Helen) Gu; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; cloud computing; distributed infrastructure; monitoring; accounting; performance modeling; service differentiation; business data processing; administrativ databehandling;

   Abstract : The emergence of large-scale Internet services coupled with the evolution of computing technologies such as distributed systems, parallel computing, utility computing, grid, and virtualization has fueled a movement toward a new resource provisioning paradigm called cloud computing. The main appeal of cloud computing lies in its ability to provide a shared pool of infinitely scalable computing resources for cloud services, which can be quickly provisioned and released on-demand with minimal effort. READ MORE

6. 4. Unchaining Microservice Chains : Machine Learning Driven Optimization in Cloud Native Systems

   Author : Michel Gokan Khan; Javid Taheri; Andreas Kassler; Stefan Schulte; Karlstads universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Cloud Native Computing; Service Mesh; Performance Modelling; Performance Optimization; Performance Simulation; Machine Learning; Resource Allocation; Computer Science; Datavetenskap;

   Abstract : As the cloud native landscape flourishes, microservices emerge as a central pillar for contemporary software development, enabling agility, resilience, and scalability in modern computing environments. While these modular services promise opportunities, particularly in the transformative ecosystem of 5G and beyond, they also introduce a myriad of complexities. READ MORE

7. 5. An Emulation-Based Performance Evaluation Methodology for Edge Computing and Latency Sensitive Applications

   Author : Manuel Osvaldo Jesús Olguín Muñoz; James Gross; Karl H. Johansson; Yu Xiao; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud Computing; Edge Computing; Performance Evaluation; Latency-sensitive Applications; Distributed Systems; Emulation; Extended Reality; Cyber-Physical Systems; Networked Control Systems; Wearable Cognitive Assistance; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Cloud Computing, with its globally-accessible nature and virtually unlimited scalability, has revolutionized our daily lives since its widespread adoption in the early 2000s. It allows us to access our documents anywhere, keep in touch with friends, back up photos, and even remotely control our appliances. READ MORE