Secure distributed adaptive bin packing algorithm for cloud storage DOI
Irfan Mohiuddin, Ahmad Almogren,

Mohammed Al Qurishi

et al.

Future Generation Computer Systems, Journal Year: 2018, Volume and Issue: 90, P. 307 - 316

Published: Aug. 16, 2018

Language: Английский

A multi-objective decision support framework for virtual machine placement in cloud data centers: a real case study DOI

Montassar Riahi,

Saoussen Krichen

The Journal of Supercomputing, Journal Year: 2018, Volume and Issue: 74(7), P. 2984 - 3015

Published: April 2, 2018

Language: Английский

Citations

36
Software-Defined “Hardware” Infrastructures: A Survey on Enabling Technologies and Open Research Directions DOI
Amir Roozbeh,

João Soares,

Gerald Q. Maguire

et al.

IEEE Communications Surveys & Tutorials, Journal Year: 2018, Volume and Issue: 20(3), P. 2454 - 2485

Published: Jan. 1, 2018

This paper provides an overview of software-defined "hardware" infrastructures (SDHI). SDHI builds upon the concept hardware (HW) resource disaggregation. HW disaggregation breaks today's physical server-oriented model where use a (e.g., processor or memory) is constrained to server's chassis. extends definition (SDI) and brings greater modularity, flexibility, extensibility cloud infrastructures, thus allowing operators employ resources more efficiently applications not be bounded by infrastructure's layout. aims initial introduction its associated technological advancements. starts with domain puts into perspective some most prominent efforts in area. Then, it presents set differentiating use-cases that enables. Next, we state fundamentals behind SDI SDHI, elaborate why great interest today. Moreover, functional architecture built on exploring how impact this transformation goes far beyond infrastructure level platforms, execution environments, applications. Finally, in-depth assessment made technologies these technologies, challenges potential future directions SDHI.

Language: Английский

Citations

34
Virtual Machine Consolidation in Cloud Computing Systems: Challenges and Future Trends DOI
Rahmat Zolfaghari, Amir Masoud Rahmani

Wireless Personal Communications, Journal Year: 2020, Volume and Issue: 115(3), P. 2289 - 2326

Published: Aug. 8, 2020

Language: Английский

Citations

32
An energy‐aware virtual machines consolidation method for cloud computing: Simulation and verification DOI
Rahmat Zolfaghari, Amir Sahafi, Amir Masoud Rahmani

et al.

Software Practice and Experience, Journal Year: 2021, Volume and Issue: 52(1), P. 194 - 235

Published: June 28, 2021

Abstract Cloud systems have become an essential part of our daily lives owing to various Internet‐based services. Consequently, their energy utilization has also a necessary concern in cloud computing increasingly. Live migration, including several virtual machines (VMs) packed on minimal physical (PMs) as consolidation (VMC) technique, is approach optimize power consumption. In this article, we proposed energy‐aware method for the VMC problem, which called (EVMC), consumption regarding quality service guarantee, comprises: (1) support vector machine classification based rate all resource PMs that used PM detection terms amount' load; (2) modified minimization migration VM selection; (3) particle swarm optimization implemented placement. Also, evaluation functional requirements presented by formal and non‐functional simulation. Finally, contrast standard greedy algorithms such best fit decreasing, EVMC decreases active VMs, respectively, 30%, 50% average. it more efficient 30% average, resources balance degree 15% average cloud.

Language: Английский

Citations

25
Secure distributed adaptive bin packing algorithm for cloud storage DOI
Irfan Mohiuddin, Ahmad Almogren,

Mohammed Al Qurishi

et al.

Future Generation Computer Systems, Journal Year: 2018, Volume and Issue: 90, P. 307 - 316

Published: Aug. 16, 2018

Language: Английский

Citations

30