72,546 research outputs found
CloudSimSC: A Toolkit for Modeling and Simulation of Serverless Computing Environments
Serverless computing is gaining traction as an attractive model for the
deployment of a multitude of workloads in the cloud. Designing and building
effective resource management solutions for any computing environment requires
extensive long term testing, experimentation and analysis of the achieved
performance metrics. Utilizing real test beds and serverless platforms for such
experimentation work is often times not possible due to resource, time and cost
constraints. Thus, employing simulators to model these environments is key to
overcoming the challenge of examining the viability of such novel ideas for
resource management. Existing simulation software developed for serverless
environments lack generalizibility in terms of their architecture as well as
the various aspects of resource management, where most are purely focused on
modeling function performance under a specific platform architecture. In
contrast, we have developed a serverless simulation model with induced
flexibility in its architecture as well as the key resource management aspects
of function scheduling and scaling. Further, we incorporate techniques for
easily deriving monitoring metrics required for evaluating any implemented
solutions by users. Our work is presented as CloudSimSC, a modular extension to
CloudSim which is a simulator tool extensively used for modeling cloud
environments by the research community. We discuss the implemented features in
our simulation tool using multiple use cases
Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud
With the advent of cloud computing, organizations are nowadays able to react
rapidly to changing demands for computational resources. Not only individual
applications can be hosted on virtual cloud infrastructures, but also complete
business processes. This allows the realization of so-called elastic processes,
i.e., processes which are carried out using elastic cloud resources. Despite
the manifold benefits of elastic processes, there is still a lack of solutions
supporting them.
In this paper, we identify the state of the art of elastic Business Process
Management with a focus on infrastructural challenges. We conceptualize an
architecture for an elastic Business Process Management System and discuss
existing work on scheduling, resource allocation, monitoring, decentralized
coordination, and state management for elastic processes. Furthermore, we
present two representative elastic Business Process Management Systems which
are intended to counter these challenges. Based on our findings, we identify
open issues and outline possible research directions for the realization of
elastic processes and elastic Business Process Management.Comment: Please cite as: S. Schulte, C. Janiesch, S. Venugopal, I. Weber, and
P. Hoenisch (2015). Elastic Business Process Management: State of the Art and
Open Challenges for BPM in the Cloud. Future Generation Computer Systems,
Volume NN, Number N, NN-NN., http://dx.doi.org/10.1016/j.future.2014.09.00
InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services
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.Comment: 20 pages, 4 figures, 3 tables, conference pape
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