Nutshell - Simulation Toolkit for Modeling Data Center Networks and Cloud Computing

Ubaid Ur Rahman, Kashif Bilal, Aiman Erbad*, Osman Khalid, Samee U. Khan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Cloud computing provides flexibility, reliability, and scalability to its consumers. Applications that run on Cloud are now more resource hungry than ever, and the need is constantly growing. The number of Cloud applications with diverse nature is growing, expecting greater performance in low cost. Fulfilling the quality of service (QoS) demands of such diverse applications is a challenging task and requires efficient network architectures, robust scheduling schemes, powerful and adaptable routing algorithms, reliable resource management, effective data exchange policies, and QoS improvement policies. Research community endeavors to provide solutions to various challenges faced by Cloud computing. These solutions must be tested thoroughly before their implementation in a real Cloud. Simulation seems a viable choice for testing a solution in different scenarios. There are a number of simulators available, focusing on certain aspects of Cloud while neglecting others. Their generalized implementation of the Cloud ignores various critical factors, such as networking characteristics, consequently affecting the tests and results of a solution. To tackle these issues, simplify simulation process, and provide the detailed implementation of the Cloud, we present Nutshell: a novel Cloud simulator that makes it easy to model, simulate, and experiment new Cloud solutions. Salient features offered by Nutshell include 1) provision of a platform for modeling and simulating Cloud infrastructure, 2) built-in essential components and helpers to create new architectures, 3) pre-built data center architectures, 4) plug-in-based architecture, 5) communication protocols, 6) pre-built virtual machine scheduler, 7) addressing schemes, 8) user applications, 9) virtual machines, 10) Job splitting, and 11) simulation data collection and exporting.

Original languageEnglish
Article number8630941
Pages (from-to)19922-19942
Number of pages21
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • Cloud computing
  • FatTree routing
  • cloud simulator
  • data center architectures
  • energy models
  • scheduling algorithms
  • simulation
  • simulator
  • virtual machines

Fingerprint

Dive into the research topics of 'Nutshell - Simulation Toolkit for Modeling Data Center Networks and Cloud Computing'. Together they form a unique fingerprint.

Cite this