Madrid Workshop Explores the Business Case for Clouds

By Jose Luis Vazquez-Poletti

July 16, 2012

The International Workshop on Clouds for Business and Business for Clouds took place last week in Madrid in conjunction with the 10th IEEE International Symposium on Parallel and distributed Processing with Applications. The workshop, organized by Dr. Jose Luis Vazquez-Poletti, provided the perfect meeting point for both industry and academia to explore how business can be migrated to the cloud model.

A Short History So Far

logoCloud computing has acquired enough maturity to expand its field of application to business. Yet there are not only institutions leveraging this paradigm in their production line, there are also those which are offering services through the cloud.

The International Workshop on Clouds for Business and Business for Cloud sought to bring together service producers and consumers in order to help them realize the benefits of cloud computing. Technologies, policies and heuristics were shared, as will be outlined below.

The workshop focus originated at the 4CaaSt European Commission FP7 project. There, my “partner in crime” was Dr. Francesco Lelli from the European Research Institute in Service Science. To help foster a successful endeavor, the organizing committee was completed with Professor Dana Petcu, Scientific Coordinator of the mOSAIC European Commission FP7 project.

We encouraged submissions of research papers on work in the areas of cloud computing and service engineering, and especially welcomed papers describing developments in cloud-enabled business process management and all related areas, such as deployment techniques, business models for cloud-based enterprises and experience reports from practitioners.

The Contributions

4CaaSt: Comprehensive management of cloud services through a PaaS

Sergio García-Gómez, Francesco Lelli, Manuel Escriche-Vicente, Pablo Arozarena-Llopis, Yehia Yehia Taher, Christof Momm, Axel Spriestersbach, Miguel Jiménez-Gañán, Goulven Le Jeune, Michel Dao, Stephane P. Carrie, Joerg Niemoller, Dimitri Mazmanov, József Biro, Andrea Giesmann and Frederic Junker

This talk introduced 4CaaSt, which aims at developing a PaaS framework that enables flexible definition, marketing, deployment and management of cloud-based services and applications. The major innovations proposed by 4CaaSt are the blueprint and its management and lifecycle, a one-stop shop for cloud services and the management of resources in the PaaS level (including elasticity). 4CaaSt also provides a portfolio of ready-to-use cloud-native services and cloud-aware immigrant technologies.

The Medianet Project: Integration of Multimedia Services for the next Generations Business-oriented Internet

Jaime Garcia-Reinoso, Guillermo Ibañez, Jose Luis Vazquez-Poletti and Ignacio Martin Llorente

This talk discussed the foundational premises of the MEDIANET project as well as intermediate results obtained during its firsts two years. MEDIANET is a Spanish project founded by the Comunidad de Madrid government, which strives for a significant scientific advance in the future media Internet where important advances are necessary to allow end-users to perceive a good quality of experience.

Towards Cloud-enabled Business Process Management based on Patterns, Rules and Multiple Models

Dana Petcu and Vlado Stankovski

Considered a combination of Software-as-a-Service and Business Process Outsourcing, Business Process as a Service (BPaaSs) has the potential to provide the killer applications able to propel the use of cloud computing to a higher dimension. Following a general overview of the current state-of-the-art in research and implementation of the BPaaS, the speaker proposed a mind switch towards the applicability of re-usable business process patterns and multi-model approach for BPaaS design and deployment. In order to demonstrate the feasibility of the approach, this talk provided two examples of BPaaSs that can be adapted to the proposed approach to obtain clear benefits in terms of services’ efficiency.

A Holistic Model for Making Cloud Migration Decision: A Consideration of Security, Architecture and Business Economics

Bjorn Johnson and Yanzhen Qu.

This talk consolidated several genres of analysis on cloud computing risk. The speaker derived a new analytical model that takes into account business economics, and other business requirements such as various considerations on security and availability.

Incorporating Business Intelligence in Cloud Marketplaces

Anna Gatzioura, Andreas Menychtas, Vrettos Moulos and Theodora Varvarigou

The cloud computing market expands continuously and new service aggregations, customizations and business models are offered in order to cover the needs of all end users. However, even in this new business ecosystem, the question about which offering should be selected still remains. This talk presented an approach for incorporating business intelligence in cloud marketplaces through a mechanism for answering this question based on the individual requirements and use profile of each particular cloud customer.

Revenue Models for Streaming Applications over Shared Clouds

Rafael Tolosana, Jose Angel Bañares, Congduc Pham and Omer Rana

When multiple users execute their streaming applications over a shared cloud
infrastructure, the provider typically captures the Quality of Service (QoS) for
each application at a Service Level Agreement (SLA). Such an SLA identifies the
cost that a user must pay to achieve the required QoS, and a penalty that must be paid to the user in case the QoS cannot be met. This talk analyzed revenue models for in-transit streaming applications, executed over a shared cloud infrastructure under the presence of faulty computational resources. Then, the speaker proposed an architecture that features a token bucket process envelop to accept user streams; and a control loop to enable resource allocation, while minimizing operational cost.

Issue in Automatic Combination of SaaS, PaaS and IaaS

Dinh Khoa Nguyen and Francesco Lelli

Current cloud service description languages envision the ability to automatically combine cloud service offerings across multiple abstraction layers, i.e., SaaS, PaaS and IaaS offerings, to achieve a common shared business goal. However, little effort has been spent in this direction. This talk formalized the issue of automatic combination of cloud services, pointing out its computationally-intensive nature. In order to overcome this issue, the speaker proposed an RDF-based prototype implementation that leverages a batch process for automatically constructing possible combinations of cloud services.

Service Datastores in Cloud Governance

Adrian Copie, Teodor-Florin Fortis, Victor Ion Munteanu and Viorel Negru

Cloud governance is a catalyst for development in the cloud environment because it facilitates easy service management while unburdening SMEs of concerns like cloud management, security and privacy. The proposed governance architecture by this talk is based on mOSAIC’s Cloud Agency, a multi-agent cloud management solution. It is built around a set of specialized datastores, containing different catalogues, which handle all the information the system needs to run. This research is focused on analyzing and detailing governance specific datastores and the way they are able to provide system-wide services.

SDP as a Service (SDPaaS): A New Revenue Stream for Operators

Joaquín Salvachúa and Luis Galindo

This talk focused on the Service Delivery Platform (SDP) concept, which usually refers to a set of components within a telecom operator service architecture that manage easing service creation, deployment and execution utilizing enablers (network capabilities) and service capabilities. The keystone objective of a SDP would be to reduce time-to-market of a service and the key characteristic for an SDP is thus the ability to ease the integration task of application logic with the enablers and capabilities in the telecom service architecture for the delivery of a service to users. The SDP enables thus the rapid transformation of a service concept into a full product including all the related service life cycle management and commercial interactions.

Aggregating Price Models for Composite Services in Cloud Service Marketplaces

Frederic Junker, Juergen Vogel and Katarina Stanoevska

Since the complexity of services and their provisioning is increasing, electronic marketplaces (eMPs) further need to handle the dynamic and automated creation of composite services, i.e., services which are yielded in part by using third-party services available on the marketplace. To meet this requirement, eMPs need a standardized machine-readable description of service offerings. This talk presented an approach to define price models for services traded on eMPs, using a subset of the Unified Service Description Language (USDL). To enable composite service pricing, the speaker introduced approaches on the aggregation of several price models into one price model and analyses the time complexity of the price aggregation algorithm presented.

A Great Experience

Organizing and attending this workshop has been a pleasure. Many interesting ideas have been shared during the event, and the coffee breaks provided another important forum for exchanging points of view between participants. We are glad to announce that this workshop initiated the beginning of a many productive friendships.

It’s clear that both academia and industry have many things to say about business in the cloud and vice versa. Many times we can find a better solution if we just expand our point of view. It is for this reason that we looked for contributors from a range of environments.

Cloud computing is already playing in the big leagues and business is not an exception. With the “big leagues” in mind, I guess we enjoyed the main conference gala dinner even more, as it took place at Santiago Bernabeu Stadium, home of Real Madrid’s soccer team.Gala Dinner 2012

About the Author

Dr. Jose Luis Vazquez-PolettiDr. Jose Luis Vazquez-Poletti is Assistant Professor in Computer Architecture at Complutense University of Madrid (UCM, Spain), and a Cloud Computing Researcher at the Distributed Systems Architecture Research Group.

He is (and has been) directly involved in EU-funded projects, such as EGEE (Grid Computing) and 4CaaSt (PaaS Cloud), as well as many Spanish national initiatives.

From 2005 to 2009 his research focused in application porting onto grid computing infrastructures, activity that let him be “where the real action was”. These applications pertained to a wide range of areas, from fusion physics to bioinformatics. During this period he achieved the abilities needed for profiling applications and making them benefit of distributed computing infrastructures. Additionally, he shared these abilities in many training events organized within the EGEE Project and similar initiatives.

Since 2010 his research interests lie in different aspects of cloud computing, but always having real life applications in mind, specially those pertaining to the high performance computing domain.

Website: http://dsa-research.org/jlvazquez/

Linkedin: http://www.linkedin.com/in/jlvazquezpoletti/

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Geospatial Data Research Leverages GPUs

August 17, 2017

MapD Technologies, the GPU-accelerated database specialist, said it is working with university researchers on leveraging graphics processors to advance geospatial analytics. The San Francisco-based company is collabor Read more…

By George Leopold

Intel, NERSC and University Partners Launch New Big Data Center

August 17, 2017

A collaboration between the Department of Energy’s National Energy Research Scientific Computing Center (NERSC), Intel and five Intel Parallel Computing Centers (IPCCs) has resulted in a new Big Data Center (BDC) that Read more…

By Linda Barney

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last week the cloud giant released deeplearn.js as part of that in Read more…

By John Russell

HPE Extreme Performance Solutions

Leveraging Deep Learning for Fraud Detection

Advancements in computing technologies and the expanding use of e-commerce platforms have dramatically increased the risk of fraud for financial services companies and their customers. Read more…

Spoiler Alert: Glimpse Next Week’s Solar Eclipse Via Simulation from TACC, SDSC, and NASA

August 17, 2017

Can’t wait to see next week’s solar eclipse? You can at least catch glimpses of what scientists expect it will look like. A team from Predictive Science Inc. (PSI), based in San Diego, working with Stampede2 at the Read more…

By John Russell

Microsoft Bolsters Azure With Cloud HPC Deal

August 15, 2017

Microsoft has acquired cloud computing software vendor Cycle Computing in a move designed to bring orchestration tools along with high-end computing access capabilities to the cloud. Terms of the acquisition were not disclosed. Read more…

By George Leopold

HPE Ships Supercomputer to Space Station, Final Destination Mars

August 14, 2017

With a manned mission to Mars on the horizon, the demand for space-based supercomputing is at hand. Today HPE and NASA sent the first off-the-shelf HPC system i Read more…

By Tiffany Trader

AMD EPYC Video Takes Aim at Intel’s Broadwell

August 14, 2017

Let the benchmarking begin. Last week, AMD posted a YouTube video in which one of its EPYC-based systems outperformed a ‘comparable’ Intel Broadwell-based s Read more…

By John Russell

Deep Learning Thrives in Cancer Moonshot

August 8, 2017

The U.S. War on Cancer, certainly a worthy cause, is a collection of programs stretching back more than 40 years and abiding under many banners. The latest is t Read more…

By John Russell

IBM Raises the Bar for Distributed Deep Learning

August 8, 2017

IBM is announcing today an enhancement to its PowerAI software platform aimed at facilitating the practical scaling of AI models on today’s fastest GPUs. Scal Read more…

By Tiffany Trader

IBM Storage Breakthrough Paves Way for 330TB Tape Cartridges

August 3, 2017

IBM announced yesterday a new record for magnetic tape storage that it says will keep tape storage density on a Moore's law-like path far into the next decade. Read more…

By Tiffany Trader

AMD Stuffs a Petaflops of Machine Intelligence into 20-Node Rack

August 1, 2017

With its Radeon “Vega” Instinct datacenter GPUs and EPYC “Naples” server chips entering the market this summer, AMD has positioned itself for a two-head Read more…

By Tiffany Trader

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

Leading Solution Providers

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

IBM Clears Path to 5nm with Silicon Nanosheets

June 5, 2017

Two years since announcing the industry’s first 7nm node test chip, IBM and its research alliance partners GlobalFoundries and Samsung have developed a proces Read more…

By Tiffany Trader

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Share This