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CLOUD COMPUTING 2015 - The Sixth International Conference on Cloud Computing, GRIDs, and Virtualization
Abstract
The Sixth International Conference on Cloud Computing, GRIDs, and Virtualization (CLOUD COMPUTING 2015), held between March 22-27, 2015 in Nice, France, continued a series of events targeted to prospect the applications supported by the new paradigm and validate the techniques and the mechanisms. A complementary target was to identify the open issues and the challenges to fix them, especially on security, privacy, and inter- and intra-clouds protocols.
Cloud computing is a normal evolution of distributed computing combined with Service- oriented architecture, leveraging most of the GRID features and Virtualization merits. The technology foundations for cloud computing led to a new approach of reusing what was achieved in GRID computing with support from virtualization.
The conference had the following tracks:
Cloud computing
Computing in virtualization-based environments
Platforms, infrastructures and applications
Challenging features
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Cloud computing that provides cheap and pay-as-you-go computing resources is rapidly gaining momentum as an alternative to traditional IT Infrastructure. As more and more consumers delegate their tasks to cloud providers, Service Level Agreements(SLA) between consumers and providers emerge as a key aspect. Due to the dynamic nature of the cloud, continuous monitoring on Quality of Service (QoS) attributes is necessary to enforce SLAs. Also numerous other factors such as trust (on the cloud provider) come into consideration, particularly for enterprise customers that may outsource its critical data. This complex nature of the cloud landscape warrants a sophisticated means of managing SLAs. This paper proposes a mechanism for managing SLAs in a cloud computing environment using the Web Service Level Agreement(WSLA) framework, developed for SLA monitoring and SLA enforcement in a Service Oriented Architecture (SOA). We use the third party support feature of WSLA to delegate monitoring and enforcement tasks to other entities in order to solve the trust issues. We also present a real world use case to validate our proposal.
Cloud has emerged as a new computing paradigm that promises to move into computing-as-utility era. Desktop Cloud is a new type of Cloud computing. It merges two computing models: Cloud computing and volunteer computing. The aim of Desktop Cloud is to provide Cloud services out of infrastructure that is not made for this purpose in order to reduce running and maintenance costs. This paper discusses this new type of Cloud by comparing it with current Cloud and Desktop Grid models. It, also, presents several research challenges in Desktop Cloud that require further attention.
The instrumentation used to implement automatic process control has gone through an evolutionary process and is still evolving today. In the beginning, plants used local, large-case pneumatic controllers; these later became miniaturized and centralized onto control panels and consoles. Their appearance changed very little when analog electronic instruments were introduced. The first applications of process control computers resulted in a mix of the traditional analog and the newer direct digital control (DDC) equipment located in the same control room. This mix of equipment was not only cumbersome but also rather inflexible because the changing of control configurations necessitated changes in the routing of wires. This arrangement gave way in the 1970s to the distributed control system (DCS).
Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'.
The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real–time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application.
The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution.
The benefits associated with cloud computing are enormous; yet the dynamic, virtualized, distributed and multi-tenant nature of the cloud environment presents many challenges.
To help tackle these challenges, Cloud Computing: Methods and Practical Approaches provides illuminating viewpoints and helpful case studies, supplied by an international selection of pre-eminent authorities from both industry and academia. This comprehensive text/reference presents both state-of-the-art research developments and practical guidance on approaches, technologies and frameworks for the emerging cloud paradigm.
Topics and features:
• Presents the state of the art in cloud technologies, infrastructures, and service delivery and deployment models
• Discusses relevant theoretical frameworks, practical approaches and suggested methodologies
• Offers guidance and best practices for the development of cloud-based services and infrastructures, and examines management aspects of cloud computing
• Reviews consumer perspectives on mobile cloud computing and cloud-based enterprise resource planning
• Explores software performance testing, open-source cloudware support, and assessment methodologies for modernization, migration and pre-migration
• Describes emerging new methodologies relevant to the cloud paradigm, and provides suggestions for future developments and research directions
This timely volume is ideal for use both as a primer/textbook for students of cloud computing, and as a professional reference for software architects, infrastructure specialists and other cloud practitioners. A program of study for a 12-week teaching semester is suggested in the Preface.
Dr. Zaigham Mahmood is a researcher at the University of Derby UK, a Senior Technology Consultant at Debesis Education, and Foreign Professor at NUST Islamabad, Pakistan. His other publications include the successful Springer books Cloud Computing for Enterprise Architectures and Software Engineering Frameworks for the Cloud Computing Paradigm.
OpenStack is a cloud computing project aimed at providing infrastructure as a service (IaaS). In this paper we describe our experience in deploying OpenStack cloud over commodity hardware. We have made an effort to build a large computational facility by sharing the computational resources of our institute through the use of the OpenStack cloud platform. In this paper, we give an overview ofthe OpenStack cloud platform and various services offered by it. We describe two multi-node cloud architectures that we have implemented. In the first architecture, we have deployed the cloud over few machines connected by a closed network. The second architecture allowed us to use geographically separated nodes. We describe the steps required for installation of the cloud for eachof these architectures and provide automated scripts for the same. These automated scripts are available at the following website:http://vnit.ac.in/images/openstack/openstack_grizzly.rar.
We describe how clouds of heterogeneous compute nodes have been interfaced to the CERN LHC physics collaborations, without changing their existing code generation procedures or job production systems. This is achieved using virtualization, in conjunction with a new virtual image management system, CernVM, developed at CERN. CernVM provides mechanisms to minimize virtual machine image sizes and to keep images efficiently up to date when code changes. Currently supported clouds include Amazon EC2 nodes, private clusters, Tier3 Grid sites and an open-ended set of BOINC volunteer PCs which represents a very large potential resource, so far untapped by the LHC experiments.