Cloudbus Toolkit for Market-Oriented Cloud Computing

This keynote paper: (1) presents the 21st century vision of computing and identifies various IT paradigms promising to deliver computing as a utility; (2) defines the architecture for creating market-oriented Clouds and computing atmosphere by leveraging technologies such as virtual machines; (3) provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; (4) presents the work carried out as part of our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a Platform as a Service software system containing SDK (Software Development Kit) for construction of Cloud applications and deployment on private or public Clouds, in addition to supporting market-oriented resource management; (ii) internetworking of Clouds for dynamic creation of federated computing environments for scaling of elastic applications; (iii) creation of 3rd party Cloud brokering services for building content delivery networks and e-Science applications and their deployment on capabilities of IaaS providers such as Amazon along with Grid mashups; (iv) CloudSim supporting modelling and simulation of Clouds for performance studies; (v) Energy Efficient Resource Allocation Mechanisms and Techniques for creation and management of Green Clouds; and (vi) pathways for future research.Comment: 21 pages, 6 figures, 2 tables, Conference pape

Trusted resource allocation in volunteer edge-cloud computing for scientific applications

Data-intensive science applications in fields such as e.g., bioinformatics, health sciences, and material discovery are becoming increasingly dynamic and demanding with resource requirements. Researchers using these applications which are based on advanced scientific workflows frequently require a diverse set of resources that are often not available within private servers or a single Cloud Service Provider (CSP). For example, a user working with Precision Medicine applications would prefer only those CSPs who follow guidelines from HIPAA (Health Insurance Portability and Accountability Act) for implementing their data services and might want services from other CSPs for economic viability. With the generation of more and more data these workflows often require deployment and dynamic scaling of multi-cloud resources in an efficient and high-performance manner (e.g., quick setup, reduced computation time, and increased application throughput). At the same time, users seek to minimize the costs of configuring the related multi-cloud resources. While performance and cost are among the key factors to decide upon CSP resource selection, the scientific workflows often process proprietary/confidential data that introduces additional constraints of security postures. Thus, users have to make an informed decision on the selection of resources that are most suited for their applications while trading off between the key factors of resource selection which are performance, agility, cost, and security (PACS). Furthermore, even with the most efficient resource allocation across multi-cloud, the cost to solution might not be economical for all users which have led to the development of new paradigms of computing such as volunteer computing where users utilize volunteered cyber resources to meet their computing requirements. For economical and readily available resources, it is essential that such volunteered resources can integrate well with cloud resources for providing the most efficient computing infrastructure for users. In this dissertation, individual stages such as user requirement collection, user's resource preferences, resource brokering and task scheduling, in lifecycle of resource brokering for users are tackled. For collection of user requirements, a novel approach through an iterative design interface is proposed. In addition, fuzzy interference-based approach is proposed to capture users' biases and expertise for guiding their resource selection for their applications. The results showed improvement in performance i.e. time to execute in 98 percent of the studied applications. The data collected on user's requirements and preferences is later used by optimizer engine and machine learning algorithms for resource brokering. For resource brokering, a new integer linear programming based solution (OnTimeURB) is proposed which creates multi-cloud template solutions for resource allocation while also optimizing performance, agility, cost, and security. The solution was further improved by the addition of a machine learning model based on naive bayes classifier which captures the true QoS of cloud resources for guiding template solution creation. The proposed solution was able to improve the time to execute for as much as 96 percent of the largest applications. As discussed above, to fulfill necessity of economical computing resources, a new paradigm of computing viz-a-viz Volunteer Edge Computing (VEC) is proposed which reduces cost and improves performance and security by creating edge clusters comprising of volunteered computing resources close to users. The initial results have shown improved time of execution for application workflows against state-of-the-art solutions while utilizing only the most secure VEC resources. Consequently, we have utilized reinforcement learning based solutions to characterize volunteered resources for their availability and flexibility towards implementation of security policies. The characterization of volunteered resources facilitates efficient allocation of resources and scheduling of workflows tasks which improves performance and throughput of workflow executions. VEC architecture is further validated with state-of-the-art bioinformatics workflows and manufacturing workflows.Includes bibliographical references

definitions, concepts, approaches, requirements, characteristics and evaluation models

FAPESP (processes 2012/24487-3 and 2012/04549-4) and Brazil-Europe Erasmus Mundus project (process BM13DM0002) partially funded this researchAmong research opportunities in software engineering for cloud computing model, interoperability stands out. We found that the dynamic nature of cloud technologies and the battle for market domination make cloud applications locked-id, i.e, proprietary, non-portable and non-interoperable. In general context of cloud computing, interoperability goes beyond communication between systems like in other fields, it goes in direction of more dynamic, heterogeneous, complex and composed applications that take advantage of best features from different providers and services simultaneously. Interoperability in cloud constitutes a great challenge that must be overcome for that, in the future, software be more dynamic and improved.publishersversionpublishe

A Game-Theoretic Based QoS-Aware Capacity Management for Real-Time EdgeIoT Applications

More and more real-time IoT applications such as smart cities or autonomous vehicles require big data analytics with reduced latencies. However, data streams produced from distributed sensing devices may not suffice to be processed traditionally in the remote cloud due to: (i) longer Wide Area Network (WAN) latencies and (ii) limited resources held by a single Cloud. To solve this problem, a novel Software-Defined Network (SDN) based InterCloud architecture is presented for mobile edge computing environments, known as EdgeIoT. An adaptive resource capacity management approach is proposed to employ a policy-based QoS control framework using principles in coalition games with externalities. To optimise resource capacity policy, the proposed QoS management technique solves, adaptively, a lexicographic ordering bi-criteria Coalition Structure Generation (CSG) problem. It is an onerous task to guarantee in a deterministic way that a real-time EdgeIoT application satisfies low latency requirement specified in Service Level Agreements (SLA). CloudSim 4.0 toolkit is used to simulate an SDN-based InterCloud scenario, and the empirical results suggest that the proposed approach can adapt, from an operational perspective, to ensure low latency QoS for real-time EdgeIoT application instances

Architectures for integration of information systems under conditions of dynamic reconfiguration of virtual enterprises

Tese Doutoramento Programa Doutoral em Industrial and Systems EngineeringThe aim of this thesis is to explore Architectures of information systems Integration under conditions of dynamic reconfiguration of Virtual Enterprises. The main challenge that we identify and which formed the basis of the research is that information technologies alone cannot support efficiently and effectively the human knowledge and their natural way of interacting. Already from Sausurre (1916) it could be argued that part of knowledge resides in person, and the attempt to try to model it is sufficient for it to be misrepresented. And this is the motto of all this work. Enhance the capabilities of emerging technologies, but in the sense that allow humanto- human interaction, having the information system merely a means to make this possible. Thus we argue that a communicational architecture of information systems integration (where Pragmatics mechanisms are enabled) in virtual enterprises in dynamic reconfiguration scenarios, are better able than the existing transactional architectures. We propose a communicational architecture able to achieve an effective integration of information systems, as well as designing its logical and functional model. We also define the necessary semiotic framework in order to a communicational integration architecture could be efficient and effective. We implemented two prototypes to demonstrate the applicability of the proposed architecture. The demonstration of the research hypothesis was demonstrated with the realization of two experimentations where the ontologies have been unable to resolve disagreements or absences of opinion inherent in people who collaborated. This was overcome with the implementation of mechanisms that allow the co-creation between members of the group that participated in the trial.O objectivo desta tese é explorar Arquitecturas de Integração de Sistemas de Informação em condições de Reconfiguração Dinâmica de Empresas Virtuais. O principal desafio que identificamos e que serviu de base da pesquisa é que as tecnologias de informação por si só não conseguem suportar de forma eficiente e efectiva o conhecimento humano e a sua forma natural de interagir. Já Sausurre (1916) defendia que parte do conhecimento residirá sempre na pessoa, e a tentativa de o tentar modelar é suficiente para que seja deturpado. E esse é o mote de todo este trabalho. Enaltecer as capacidades das tecnologias emergentes mas no sentido de elas permitirem a interacção homem-to-homem, sendo o sistema de informação meramente um meio para que tal seja possível. Argumentamos por isso que uma arquitectura comunicacional de integração de sistemas de informação, onde Pragmatics mechanisms are enabled, em empresas virtuais em cenários de reconfiguração dinâmica, são mais capazes que as actuais arquitecturas transacionais. Propomos para isso uma arquitectura comunicacional capaz de conseguir uma integração efectiva de sistemas de informação, assim como desenhamos o seu modelo lógico e funcional. Definimos ainda o quadro semiótico necessário para que uma arquitectura comunicacional de integração seja eficiente e effectiva. Implementamos dois protótipos capazes de demonstrar a aplicabilidade da arquitectura proposta. A demonstração da hipótese de pesquisa ficou demonstrada com a realização de uma experimentação onde as ontologias se mostraram incapazes de resolver discordâncias ou ausências de opinião inerentes às pessoas que colaboram. Tal foi superado com a aplicação de mecanismos que permitiram a co-criação entre os membros do grupo que realizou a experimentação

Service broker for cloud service description language

Cloud Service Description Language (CSDL), initiative and discourse, is concentrated to deploy applications on various cloud platforms without modifying source-code. Semantic topology and orchestration of applications provides practical advantage for service providers with ability of interoperability, portability and unified interfaces. However, this has also resulted problems for consumers to identify the appropriate services spread over swarm platforms. The advantage, with common CSDL such as Topology and Orchestration Specification for Cloud Applications (TOSCA), becomes problematic for consumers. Service providers will have different technical and business details such as: discovery, pricing, licensing or composition depending upon deployed platform; therefore, selection of service becomes challenging and requires human effort. Service Broker design is presented for TOSCA framework only; however, the suggested scheme is generic and adaptable to accommodate similar standards of CSDL

Geospatial information infrastructures to address spatial needs in health: Collaboration, challenges and opportunities

Most health-related issues such as public health outbreaks and epidemiological threats are better understood from a spatial–temporal perspective and, clearly demand related geospatial datasets and services so that decision makers may jointly make informed decisions and coordinate response plans. Although current health applications support a kind of geospatial features, these are still disconnected from the wide range of geospatial services and datasets that geospatial information infrastructures may bring into health. In this paper we are questioning the hypothesis whether geospatial information infrastructures, in terms of standards-based geospatial services, technologies, and data models as operational assets already in place, can be exploited by health applications for which the geospatial dimension is of great importance. This may be certainly addressed by defining better collaboration strategies to uncover and promote geospatial assets to the health community. We discuss the value of collaboration, as well as the opportunities that geographic information infrastructures offer to address geospatial challenges in health applications