InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services

By Rajkumar Buyya, R. Ranjan, Rodrigo Neves Calheiros. International Conference on Algorithms and Architectures for Parallel Processing, 2010

1,148 citations recorded by the source corpus.

Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world However, existing systems do not support mechanisms and policies for dynamically coordinating load distribution among different Cloud-based data centers in order to determine optimal location for hosting application services to achieve reasonable QoS levels Further, the Cloud computing providers are unable to predict geographic distribution of users consuming their services, hence the load coordination must happen automatically, and distribution of services must change in response to changes in the load To counter this problem, we advocate creation of federated Cloud computing environment (InterCloud) that facilitates just-in-time, opportunistic, and scalable provisioning of application services, consistently achieving QoS targets under variable workload, resource and network conditions The overall goal is to create a computing environment that supports dynamic expansion or contraction of capabilities (VMs, services, storage, and database) for handling sudden variations in service demands. This paper presents vision, challenges, and architectural elements of InterCloud for utility-oriented federation of Cloud computing environments The proposed InterCloud environment supports scaling of applications across multiple vendor clouds We have validated our approach by conducting a set of rigorous performance evaluation study using the CloudSim toolkit The results demonstrate that federated Cloud computing model has immense potential as it offers significant performance gains as regards to response time and cost saving under dynamic workload scenarios.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/10da56ca968d4e862d9071246790e930660438d4

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Citations in the corpus

A Survey of Load Balancing in Cloud Computing: Challenges and Algorithms (2012, background): “There is a need to develop a way to control load balancing mechanism among all the spatial distributed nodes while being able to effectively tolerate high delays [3].”
How to Enhance Cloud Architectures to Enable Cross-Federation: Towards Interoperable Storage Providers (2010, background): “In [5], the authors propose a quite complex model for federated systems .”
Combinatorial Auction-Based Allocation of Virtual Machine Instances in Clouds (2010, background): “Buyya et al. [11] proposed an infrastructure of federated clouds for auctionbased resource allocation across multiple clouds.”
Interconnected Cloud Computing Environments (2014, background): “Since predicting geographic distribution of users consuming a cloud provider’s services is not trivial, the load coordination must happen automatically, and distribution of services must change in response to changes in the load [Buyya et al. 2010].”
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms (2011, background): “Figure 2 depicts such a Cloud computing architecture that consists of service consumers’ (SaaS providers’) brokering and providers' coordinator services that support utilitydriven internetworking of clouds [11]: application provisioning and workload migration.”
CloudNet: Dynamic Pooling of Cloud Resources by Live WAN Migration of Virtual Machines (2011, background): “InterCloud explores the potential for federated cloud platforms to provide highly scalable services [6]; CloudNet seeks to build a similar environment and uses WAN migration to move resources between clouds and businesses.”
Inter‐Cloud architectures and application brokering: taxonomy and survey (2014, methodology): “The InterCloud [5] project developed at the University of Melbourne is one of the first initiatives in the field.”
Next generation cloud computing: New trends and research directions (2017, background): “Federated Cloud: There are a number of benefits in bringing together different cloud providers under a single umbrella resulting in a federated cloud [10,11].”
Elasticity in Cloud Computing: State of the Art and Research Challenges (2018, background): “Though there are some academic works that allow allocating resources from different providers or data centers, they are limited to certain criteria, for example, [53] allows to allocate resources according to the price offered or spot that matches the user’s bid.”