A framework for ranking of cloud computing services

doi:10.1016/J.FUTURE.2012.06.006

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A framework for ranking of cloud computing services

Journal Article•DOI•

A framework for ranking of cloud computing services

Saurabh Garg¹, Steve Versteeg², Rajkumar Buyya¹•Institutions (2)

University of Melbourne¹, CA Technologies²

01 Jun 2013-Future Generation Computer Systems (Elsevier Science Publishers B. V.)-Vol. 29, Iss: 4, pp 1012-1023

TL;DR: This work proposes a framework and a mechanism that measure the quality and prioritize Cloud services and will create healthy competition among Cloud providers to satisfy their Service Level Agreement (SLA) and improve their QoS.

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About: This article is published in Future Generation Computer Systems.The article was published on 2013-06-01. It has received 833 citations till now. The article focuses on the topics: Services computing & Cloud computing.

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Citations

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Open Access

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Journal Article•DOI•

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

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Tarik Taleb¹, Konstantinos Samdanis², Badr Eddine Mada¹, Hannu Flinck³, Sunny Dutta¹, Dario Sabella⁴ - Show less +2 more•Institutions (4)

Aalto University¹, Huawei², Bell Labs³, Intel⁴

18 May 2017-IEEE Communications Surveys and Tutorials

TL;DR: This paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers, and third parties, and elaborates further on open research challenges.

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Abstract: Multi-access edge computing (MEC) is an emerging ecosystem, which aims at converging telecommunication and IT services, providing a cloud computing platform at the edge of the radio access network MEC offers storage and computational resources at the edge, reducing latency for mobile end users and utilizing more efficiently the mobile backhaul and core networks This paper introduces a survey on MEC and focuses on the fundamental key enabling technologies It elaborates MEC orchestration considering both individual services and a network of MEC platforms supporting mobility, bringing light into the different orchestration deployment options In addition, this paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers, and third parties Finally, this paper overviews the current standardization activities and elaborates further on open research challenges

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1,351 citations

Cites background from "A framework for ranking of cloud co..."

...providing four distinct technology models and three service models [77] including: 1) Technology Models: (i) Private cloud that is entirely...
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Book Chapter•DOI•

Multiple criteria decision making

[...]

János Fodor¹, Marc Roubens²•Institutions (2)

Eötvös Loránd University¹, University of Liège²

01 Jan 1994

TL;DR: In this Chapter, a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view is imagined.

...read moreread less

Abstract: In this Chapter, we imagine a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view.

...read moreread less

1,329 citations

Journal Article•DOI•

Secure integration of IoT and Cloud Computing

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Christos Stergiou¹, Kostas E. Psannis¹, Byung-Gyu Kim², Brij B. Gupta³•Institutions (3)

University UCINF¹, Sookmyung Women's University², National Institute of Technology, Kurukshetra³

01 Jan 2018-Future Generation Computer Systems

TL;DR: A survey of IoT and Cloud Computing with a focus on the security issues of both technologies is presented, and it shows how the Cloud Computing technology improves the function of the IoT.

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894 citations

Cites background from "A framework for ranking of cloud co..."

...As an example, when a Compact Florescent Light (CFL) bulb uses less energy (1/3 to 1/5) than an incandescent bulb to produce the same amount of lights, the Compact Florescent Light (CFL) is considered to be more energy efficient [34] [35] [37]....
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...Some examples of powerful programs which run in the cloud and they perform incredible feats of computing for the oblivious user who only needs an internet connection and a browser, are google applications, internet banking, and Facebook [34] [35] [37]....
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...Service over Internet The main objective of the Service over Internet is to be committed to help customers all over the world in order to transform aspirations into achievements by harnessing the Internet’s efficiency, speed and ubiquity [34] [35]....
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...With the combination of the best storage and networking industry approaches, SoIP provides high-performance and scalable IP storage solutions [34] [35] [36]....
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...Thus, a system is considered as computationally capable when it meets the requirements to provide us the results we want, by making the right calculations [34] [35]....
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Journal Article•DOI•

Virtual Inertia: Current Trends and Future Directions

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Ujjwol Tamrakar, Dipesh Shrestha, Manisha Maharjan, Bishnu P. Bhattarai, Timothy M. Hansen, Reinaldo Tonkoski - Show less +2 more

26 Jun 2017-Applied Sciences

TL;DR: In this article, the authors present a literature review of the current state-of-the-art of virtual inertia implementation techniques and explore potential research directions and challenges, and discuss several research needs, especially for systems level integration of VINs.

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Abstract: The modern power system is progressing from a synchronous machine-based system towards an inverter-dominated system, with large-scale penetration of renewable energy sources (RESs) like wind and photovoltaics. RES units today represent a major share of the generation, and the traditional approach of integrating them as grid following units can lead to frequency instability. Many researchers have pointed towards using inverters with virtual inertia control algorithms so that they appear as synchronous generators to the grid, maintaining and enhancing system stability. This paper presents a literature review of the current state-of-the-art of virtual inertia implementation techniques, and explores potential research directions and challenges. The major virtual inertia topologies are compared and classified. Through literature review and simulations of some selected topologies it has been shown that similar inertial response can be achieved by relating the parameters of these topologies through time constants and inertia constants, although the exact frequency dynamics may vary slightly. The suitability of a topology depends on system control architecture and desired level of detail in replication of the dynamics of synchronous generators. A discussion on the challenges and research directions points out several research needs, especially for systems level integration of virtual inertia systems.

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416 citations

Cites background from "A framework for ranking of cloud co..."

..., [116]) can be garnered for power systems to measure the power quality in terms on inertial response availability....
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Proceedings Article•DOI•

Challenges and Opportunities in Edge Computing

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Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick, Dimitrios S. Nikolopoulos - Show less +1 more

26 Dec 2016

TL;DR: In this paper, the challenges and opportunities of edge computing are considered and the challenges that arise out of this new direction in the computing landscape, as well as the opportunities that arise from the new direction.

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Abstract: Many cloud-based applications employ a data centers as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse effect on Quality-of-Service and Experience. The concept of Edge Computing is predicated on moving some of this computational load towards the edge of the network to harness computational capabilities that are currently untapped in edge nodes, such as base stations, routers and switches. This position paper considers the challenges and opportunities that arise out of this new direction in the computing landscape.

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326 citations

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References

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Open Access

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Journal Article•DOI•

Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

[...]

Rajkumar Buyya¹, Chee Shin Yeo¹, Srikumar Venugopal¹, James Broberg¹, Ivona Brandic² - Show less +1 more•Institutions (2)

University of Melbourne¹, Vienna University of Technology²

01 Jun 2009-Future Generation Computer Systems

TL;DR: This paper defines Cloud computing and provides the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs), and provides insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA) oriented resource allocation.

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5,850 citations

"A framework for ranking of cloud co..." refers background in this paper

...Contents lists available at SciVerse ScienceDirect Future Generation Computer Systems journal homepage: www.elsevier.com/locate/fgcs A framework for ranking of cloud computing services Saurabh Kumar Garg a,∗, Steve Versteeg b, Rajkumar Buyya a a Cloud Computing and Distributed Systems Laboratory, Department of Computing and Information Systems, University of Melbourne, 3053, Australia b CA Technologies, Melbourne Victoria, 3004, Australia a r t i c l e i n f o Article history: Received 1 March 2012 Received in revised form 6 June 2012 Accepted 11 June 2012 Available online xxxx Keywords: Cloud computing Service measurement Quality of service Service level agreement a b s t r a c t Cloud computing is revolutionizing the IT industry by enabling them to offer access to their infrastructure and application services on a subscription basis....
[...]
...As a result, several enterprises including IBM, Microsoft, Google, and Amazon have started to offer different Cloud services to their customers....
[...]
...…cloud computing services Saurabh Kumar Garg a,∗, Steve Versteeg b, Rajkumar Buyya a a Cloud Computing and Distributed Systems Laboratory, Department of Computing and Information Systems, University of Melbourne, 3053, Australia b CA Technologies, Melbourne Victoria, 3004, Australia a r t i c l e i…...
[...]
...Currently, there is no framework that can allow customers to evaluate Cloud offerings and rank them based on their ability to meet the user’s Quality of Service (QoS) requirements....
[...]

Book•DOI•

Multiple criteria decision analysis: state of the art surveys

[...]

Salvatore Greco, Matthias Ehrgott, José Rui Figueira

01 Jan 2005-Operations Research and Management Science

TL;DR: In this article, the authors present a survey of the state of the art in multiple criterion decision analysis (MCDA) with an overview of the early history and current state of MCDA.

...read moreread less

Abstract: In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA). Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications. Individual chapter authors are among the most prestigious names in MCDA research, and combined their chapters bring the field completely up to date. Part I of the book considers the history and current state of MCDA, with surveys that cover the early history of MCDA and an overview that discusses the “pre-theoretical” assumptions of MCDA. Part II then presents the foundations of MCDA, with individual chapters that provide a very exhaustive review of preference modeling, along with a chapter devoted to the axiomatic basis of the different models that multiple criteria preferences. Part III looks at outranking methods, with three chapters that consider the ELECTRE methods, PROMETHEE methods, and a look at the rich literature of other outranking methods. Part IV, on Multiattribute Utility and Value Theories (MAUT), presents chapters on the fundamentals of this approach, the very well known UTA methods, the Analytic Hierarchy Process (AHP) and its more recent extension, the Analytic Network Process (ANP), as well as a chapter on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). Part V looks at Non-Classical MCDA Approaches, with chapters on risk and uncertainty in MCDA, the decision rule approach to MCDA, the fuzzy integral approach, the verbal decision methods, and a tentative assessment of the role of fuzzy sets in decision analysis. Part VI, on Multiobjective Optimization, contains chapters on recent developments of vector and set optimization, the state of the art in continuous multiobjective programming, multiobjective combinatorial optimization, fuzzy multicriteria optimization, a review of the field of goal programming, interactive methods for solving multiobjective optimization problems, and relationships between MCDA and evolutionary multiobjective optimization (EMO). Part VII, on Applications, selects some of the most significant areas, including contributions of MCDA in finance, energy planning problems, telecommunication network planning and design, sustainable development, and portfolio analysis. Finally, Part VIII, on MCDM software, presents well known MCDA software packages.

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4,055 citations

"A framework for ranking of cloud co..." refers background in this paper

...The outranking approach is based on the principle of the degree of one alternative’s dominance over another [15], rather than considering that a single best alternative can be identified....
[...]

Proceedings Article•DOI•

Benchmarking cloud serving systems with YCSB

[...]

Brian F. Cooper¹, Adam Silberstein¹, Erwin Tam¹, Raghu Ramakrishnan¹, Russell Sears¹ - Show less +1 more•Institutions (1)

Yahoo!¹

10 Jun 2010

TL;DR: This work presents the "Yahoo! Cloud Serving Benchmark" (YCSB) framework, with the goal of facilitating performance comparisons of the new generation of cloud data serving systems, and defines a core set of benchmarks and reports results for four widely used systems.

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Abstract: While the use of MapReduce systems (such as Hadoop) for large scale data analysis has been widely recognized and studied, we have recently seen an explosion in the number of systems developed for cloud data serving. These newer systems address "cloud OLTP" applications, though they typically do not support ACID transactions. Examples of systems proposed for cloud serving use include BigTable, PNUTS, Cassandra, HBase, Azure, CouchDB, SimpleDB, Voldemort, and many others. Further, they are being applied to a diverse range of applications that differ considerably from traditional (e.g., TPC-C like) serving workloads. The number of emerging cloud serving systems and the wide range of proposed applications, coupled with a lack of apples-to-apples performance comparisons, makes it difficult to understand the tradeoffs between systems and the workloads for which they are suited. We present the "Yahoo! Cloud Serving Benchmark" (YCSB) framework, with the goal of facilitating performance comparisons of the new generation of cloud data serving systems. We define a core set of benchmarks and report results for four widely used systems: Cassandra, HBase, Yahoo!'s PNUTS, and a simple sharded MySQL implementation. We also hope to foster the development of additional cloud benchmark suites that represent other classes of applications by making our benchmark tool available via open source. In this regard, a key feature of the YCSB framework/tool is that it is extensible--it supports easy definition of new workloads, in addition to making it easy to benchmark new systems.

...read moreread less

3,276 citations

"A framework for ranking of cloud co..." refers background in this paper

...Serving Benchmark (YCSB) [25] aims to facilitate the performance...
[...]

Book Chapter•DOI•

Multiple criteria decision making

[...]

János Fodor¹, Marc Roubens²•Institutions (2)

Eötvös Loránd University¹, University of Liège²

01 Jan 1994

TL;DR: In this Chapter, a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view is imagined.

...read moreread less

1,329 citations

"A framework for ranking of cloud co..." refers background in this paper

...This problem in the literature is defined as multiple criteria decision making (MCDM) [13]....
[...]
...There are three fundamental approaches to solving MCDM problems: Multiple Attribute Utility Theory (MAUT), outranking and Analytic Hierarchy Process (AHP)....
[...]
...In general, such problems fall into the category of MCDM, where decision makers choose or rank alternatives on the basis of an evaluation of several criteria....
[...]
...The drawback of this approach is that many times it does not reach a decision and it is relatively complex to implement compared to other MCDM approaches....
[...]
...This is a problem of Multi-Criteria Decision-Making (MCDM) [6]....
[...]

Proceedings Article•DOI•

CloudCmp: comparing public cloud providers

[...]

Ang Li¹, Xiaowei Yang¹, Srikanth Kandula², Ming Zhang²•Institutions (2)

Duke University¹, Microsoft²

01 Nov 2010

TL;DR: Applying CloudCmp to four cloud providers that together account for most of the cloud customers today, it is found that their offered services vary widely in performance and costs, underscoring the need for thoughtful provider selection.

...read moreread less

Abstract: While many public cloud providers offer pay-as-you-go computing, their varying approaches to infrastructure, virtualization, and software services lead to a problem of plenty. To help customers pick a cloud that fits their needs, we develop CloudCmp, a systematic comparator of the performance and cost of cloud providers. CloudCmp measures the elastic computing, persistent storage, and networking services offered by a cloud along metrics that directly reflect their impact on the performance of customer applications. CloudCmp strives to ensure fairness, representativeness, and compliance of these measurements while limiting measurement cost. Applying CloudCmp to four cloud providers that together account for most of the cloud customers today, we find that their offered services vary widely in performance and costs, underscoring the need for thoughtful provider selection. From case studies on three representative cloud applications, we show that CloudCmp can guide customers in selecting the best-performing provider for their applications.

...read moreread less

1,008 citations

"A framework for ranking of cloud co..." refers methods in this paper

...Other works such as CloudCmp [12] proposed frameworks to compare the performance of different Cloud services such as Amazon EC2, Windows Azure and Rackspace....
[...]
...For instance, Amazon Cloud offers small VMs at a lower cost than Rackspace but the amount of data storage, bandwidth, and compute unit are quite different between two providers [4,8]....
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...The QoS data is collected from various evaluation studies for three IaaS Cloud providers: Amazon EC2, Windows Azure, and Rackspace [12,20,21]....
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