EAI Endorsed Transactions on Scalable Information Systems

Issue 9, 2016

Editor(s)-in-Chief: Xiaohua Jia and Hua Wang

Articles
Information

OGSSim: Open Generic data Storage systems Simulation tool
Appears in:
sis 16(9): e1

Authors:
Sebastien Gougeaud, Soraya Zertal, Jacques-Charles Lafoucriere, Philippe Deniel

Abstract:
In this paper, an open and generic storage simulator is proposed. It simulates with accuracy multi-tiered storage systems based on heterogeneous devices including HDDs, SSDs and the connecting buses. The target simulated sys- tem is constructed from the hardware configuration input, then sent …In this paper, an open and generic storage simulator is
proposed. It simulates with accuracy multi-tiered storage
systems based on heterogeneous devices including HDDs,
SSDs and the connecting buses. The target simulated sys-
tem is constructed from the hardware configuration input,
then sent to the simulator modules along with the trace
file and the appropriate simulator functions are selected and
executed. Each module of the simulator is executed by a
thread, and communicates with the others via ZeroMQ, a
message transmission API using sockets for the information
transfer. The result is an accurate behavior of the simulated
system submitted to a specific workload and represented by
performance and reliability metrics. No restriction is put on
the input hardware configuration which can handle differ-
ent levels of details and makes this simulator generic. The
diversity of the supported devices, regardless to their na-
ture: disks, buses, ..etc and organisation: JBOD, RAID,
..etc makes the simulator open to many technologies. The
modularity of its design and the independence of its exe-
cution functions, makes it open to handle any additional
mapping, access, maintenance or reconstruction strategies.
The conducted tests using OLTP and scientific workloads
show accurate results, obtained in a competitive runtime.
more »
Flexible Performance Prediction of Data Center Networks using Automatically Generated Simulation Models
Appears in:
sis 16(9): e2

Authors:
Piotr Rygielski, Samuel Kounev, Phuoc Tran-Gia

Abstract:
Using different modeling and simulation approaches for predicting network performance requires extensive experience and involves a number of time consuming manual steps regarding each of the modeling formalisms. In this paper, we propose a generic approach to modeling the performance of data center…Using different modeling and simulation approaches for predicting network performance requires extensive experience and involves a number of time consuming manual steps regarding each of the modeling formalisms. In this paper, we propose a generic approach to modeling the performance of data center networks. The approach offers multiple performance models but requires to use only a single modeling language. We propose a two-step modeling methodology, in which a high-level descriptive model of the network is built in the first step, and in the second step model-to-model transformations are used to automatically transform the descriptive model to different network simulation models.
%
We automatically generate three performance models defined at different levels of abstraction to analyze network throughput. By offering multiple simulation models in parallel, we provide flexibility in trading-off between the modeling accuracy and the simulation overhead. We analyze the simulation models by comparing the prediction accuracy with respect to the simulation duration. We observe, that in the investigated scenarios the solution duration of coarser simulation models is up to 300 times shorter, whereas the average prediction accuracy decreases only by 4 percent.
more »
An Inverse Problem Approach for Content Popularity Estimation
Appears in:
sis 16(9): e3

Authors:
Felipe Olmos, Bruno Kauffmann

Abstract:
The Internet increasingly focuses on content, as exemplified by the now popular Information Centric Networking paradigm. This means, in particular, that estimating content popularities becomes essential to manage and distribute content pieces efficiently. In this paper, we show how to properly esti…The Internet increasingly focuses on content, as exemplified by the now popular Information Centric Networking paradigm. This means, in particular, that estimating content popularities becomes essential to manage and distribute content pieces efficiently. In this paper, we show how to properly estimate content popularities from a traffic trace. Specifically, we consider the problem of the popularity inference in order to tune content-level performance models, e.g. caching models. In this context, special care must be taken due to the fact that an observer measures only the flow of requests, which differs from the model parameters, though both quantities are related by the model assumptions. Current studies, however, ignore this difference and use the observed data as model parameters. In this paper, we highlight the inverse problem that consists in determining parameters so that the flow of requests is properly predicted by the model. We then show how such an inverse problem can be solved using Maximum Likelihood Estimation. Based on two large traces from the Orange network and two synthetic datasets, we eventually quantify the importance of this inversion step for the performance evaluation accuracy.
more »
GarCoSim: A Framework for Automated Memory Management Research and Evaluation
Appears in:
sis 16(9): e4

Authors:
Konstantin Nasartschuk, Marcel Dombrowski, Tristan Basa, Mazder Rahman, Kenneth Kent, Gerhard Dueck

Abstract:
Many modern programming languages rely on memory management environments that are responsible for allocation and deallocation of objects. Garbage collection phases are used in order to detect inaccessible objects on the heap so they can be deallocated. The performance of garbage collection techniqu…Many modern programming languages rely on memory management environments that are responsible for allocation and deallocation of objects. Garbage collection phases are used in order to detect inaccessible objects on the heap so they can be deallocated. The performance of garbage collection techniques depends heavily on the environment, implementation specific parameters and the benchmark used. The contribution of this publication is an extendable memory management simulator, which aims to assist developers in memory management evaluation and research. The simulator is capable of reading operations from a trace file extracted from a virtual machine and simulating the memory management needed by the simulated mutator. The framework aims to provide an isolated experimentation and comparison platform in the field of automatic memory management. New algorithms can be added to the framework in order to compare them to established algorithms.
more »
Understanding cache dynamics in the network: a software approach
Appears in:
sis 16(9): e5

Author:
Ian Marsh

Abstract:
Complex time-varying load dynamics can be found at a network cache. This is because data requests carried by thousands of connections over diverse network paths load the cache by many read (and sometimes) write operations. User populations with a heterogeneity of request patterns and delay require…Complex time-varying load dynamics can be found at a network cache. This is because data requests carried by thousands of connections over diverse network paths load the cache by many read (and sometimes) write operations. User populations with a heterogeneity of request patterns and delay requirements induce hitrate dynamics at the network and cache interface. Content dynamics are further compounded by the existence of local expurgation policies and dimensioning decisions for each cache on a network path. Multi-level caches on the same network path may cause inter-cache dynamics of their contents. Finally, since the cache is inevitably part of a networked system, there is a complex dynamic relation between the cache hitrate and the network traffic. All that said, buffering events during media replay are still commonplace and annoying, caching solutions may be at the root of problem or be part of a solution such as in a CDN. Either way, we present a joint simulation-visualization tool to give some insight into the dynamics of network caching.
more »

Scope

As the data volumes continue to increase and the ways of information dispersion across the globe continue to diversify, new scalable methods and structures are needed for efficiently processing those distributed and autonomous data. Grid computing, P2P technology, distributed information retrieval …

Topics

The scope of the journal includes:

Scalable distributed information systems
Scalable grid information systems
Parallel information processing and systems
Web information searching and retrieval
Data mining
Content delivery networks (CDN)
VLDB
P2P systems
Scalable mobile…

The scope of the journal includes:

Scalable distributed information systems
Scalable grid information systems
Parallel information processing and systems
Web information searching and retrieval
Data mining
Content delivery networks (CDN)
VLDB
P2P systems
Scalable mobile and wireless database systems
Large scale sensor network systems
Index compression methods
Architectures for scalability
Scalable information system applications
Evaluation metrics for scalability
Information security

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Special Issues

Call for Papers: Special issue on: Real-time image information processing with deep neural networks and data mining technologies (Manuscript submission deadline: 2022-02-28; Notification of acceptance: 2022-04-15; Submission of final revised paper: 2022-…

Guest Editor: Dr. Prof. Hang Li (Northeastern University, China) Guest Editor: Dr. Prof. Jochen Schiewe (HafenCity Universität Hamburg, Germany)

Editors-in-Chief
Hua Wang, Victoria University, Australia
Xiaohua Jia, City University of Hong Kong
Editorial board
Manik Sharma, DAV University, India
Ajay Kattepur (Tata Consultancy Services)
Chang Choi (Chosun University)
Cho-Li Wang (University of Hong Kong)
Daniel S. Katz (Un…

Editors-in-Chief
Hua Wang, Victoria University, Australia
Xiaohua Jia, City University of Hong Kong
Editorial board
Manik Sharma, DAV University, India
Ajay Kattepur (Tata Consultancy Services)
Chang Choi (Chosun University)
Cho-Li Wang (University of Hong Kong)
Daniel S. Katz (University of Chicago)
Fabrizio Silvestri (ISTI – CNR, Italy)
Hamed Taherdoost (University Canada West, Canada)
Heng Tao Shen (University of Queensland)
Houbing Song (University of Maryland Balitmore, USA)
José Manuel Machado (University of Minho, Portugal)
Jose Merseguer (Universidad de Zaragoza)
Jie Li (University of Tsukuba)
Lin Yun (Harbin Engineering University)
Phan Cong Vinh (Nguyen Tat Thanh University)
Raj Gururajan (University of Southern Queensland)
Sherman Chow (Chinese University of Hong Kong)
Silva Fábio (University of Minho, Portugal)
Steve Beitzel (Telcordia)
Tzung-Pei Hong (National University of Kaohsiung, Kaohsing City, Taiwan)
Wang-Chien Lee (The Pennsylvania State University)
Weili Wu (The University of Texas at Dallas)
Xueyan Tang (Nanyang Technological University)
Vijayakumar Ponnusamy (SRM University, India)
J Amudhavel (KL University, India)
Yingshu Li (Georgia State University)
Karolj Skala (Ruđer Bošković Institute, Croatia)
Xiao-Zhi Gao (University of Eastern Finland, Finland)
Thaier Hayajneh (Fordham University, USA)
Chin-Ling Chen (Chaoyang University of Technology, Taiwan)
Nuno M. Garcia (Faculty of Sciences, University of Lisbon, Portugal)
Arianna D'Ulizia (Consiglio Nazionale delle Ricerche (CNR), Italy)
Robertas Damaševičius (Kaunas University of Technology (KTU), Lithuania)
Hiep Xuan Huynh (Can Tho University, VietNam)
Ji Zhang (University of Southern Queensland, Australia)
Xiaohui Tao (University of Southern Queensland, Australia)
Ye Wang (National University of Defense Technology, China)
Nageswara Rao Moparthi (KL University, India)
Xiaoming Fu (Georg-August-University of Goettingen, Germany)
Zhisheng Huang (Vrije University of Amsterdam)
Rose Quan (Northumbria University, UK)
Shi Dong (Zhoukou Normal University, China)
Limei Peng (Kyungpook National University, South Korea)
Hui Ma( Victoria University of Wellington, New Zealand)
Venkatesan Subramanian (Indian Institute of Information Technology – Allahabad, India)
Pon Harshavardhanan (VIT Bhopal University, India)
Manish Kumar (The Indian Institute of Information Technology, Allahabad, India)
Muzammil Hussain, University of Management and Technology, Lahore, Pakistan
Michael Bewong, Charles Sturt University, Australia
Shabir Ahmad, Gachon University, Korea
Vu Nguyen, University of Science, Vietnam
Xiaodi Huang, Charles Sturt University, Australia
Jianming Yong, University of Southern Queensland, Australia
Yogeshwar Vijayakumar Navandar; National Institute of Technology, India
Zhengyi Chai, Tiangong University in China, China
Chuanlong Wang, Taiyuan Normal University, China
Chin-Feng Lee, Chaoyang University of Technology, Taiwan
Hsing-Chung Chen (Jack Chen), Asia University, Taiwan
Wen-Yang Lin, National University of Kaohsiung, Taiwan
Chun-Hao Chen, National Kaohsiung University of Science and Technology, Taiwan
Mudasir Mohd, University of Kashmir, India
Md Rafiqul Islam, Australian Institute of Higher Education, Australia.
Jin Wang, Institute of Applied Physics and Computational Mathematics, China
Chandu Thota, University of Nicosia, Cyprus
Haris M. Khalid, University of Dubai, UAE.
G. Reza Nasiri, Alzahra University, Tehran, Iran.
Siuly Siuly, Victoria University, Australia
Bishnu Prasad Gautam, Kanazawa Gakuin University, Japan
Sivaparthipan C B, Bharathiar University, India
Ting-Chia Hsu, National Taiwan Normal University, Taiwan
Punitha Palanisamy, Tagore IET, India
Lakshmana Kumar R, Tagore IET, India
Weiwei Jiang, Beijing University of Posts and Telecommunications, Taiwan

Journal Blurb

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/sis/index

Publisher: EAI
ISSN: 2032-9407
Volume: 3

Published: 2016-12-05

OGSSim: Open Generic data Storage systems Simulation tool

Flexible Performance Prediction of Data Center Networks using Automatically Generated Simulation Models

An Inverse Problem Approach for Content Popularity Estimation

GarCoSim: A Framework for Automated Memory Management Research and Evaluation

Understanding cache dynamics in the network: a software approach

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