# CLOUD computing is quickly becoming an effective and

Save this PDF as:

Size: px
Start display at page:

## Transcription

5 Fig.. Service charge CðrÞ versus r and. Fig. 2. Noralized service charge CðrÞ=ar versus r and. To build our discussion uon our earlier result on task waiting tie, we notice that the service charge function can be rewritten equivalently in ters of r and W as 8 ar; if 0 W c r; s 0 s a þ cd d >< r dw; s Cðr; WÞ ¼ 0 s c if r<w a s 0 s d þ c r; s 0 s 0; if W> a d þ c >: r: s 0 s The following theore gives the exected charge to a service request: Theore 2. The exected charge to a service request is P q C ¼ ar ððs rþðc=s 0 =sþþþ ; ððs rþða=d þ c=s 0 =sþþþ where P q ¼ =ð Þ and ¼ 0 ðþ =!. Sketch of the Proof. The roof is actually a detailed calculation of C, which contains two stes. In the first ste, we calculate CðrÞ, i.e., the exected charge to a service request with execution requireent r, based on the df of W obtained fro Theore. In the second ste, we calculate C based on the df of r. A colete roof of the theore is given in Section 9. tu In Fig., we consider the exected charge to a service request with execution requireent r, i.e., dp q CðrÞ ¼ar ð Þ e ð Þðc=s 0 =sþr e ð Þða=dþc=s0 =sþr : We assue that r ¼ billion instructions, ¼ 7 servers, s 0 ¼ billion instructions er second, s ¼ billion instructions er second, a ¼ 0 cents er one billion instructions (Note: The onetary unit cent in this aer ay not be identical but should be linearly roortional to the real cent in US dollars.), c ¼ 3, and d ¼ cents er second. (Note: These araeters are chosen only for illustration and should be scaled to any values.) For ¼ 6:5; 6:35; 6:55; 6:75; 6:95 service requests er second, we show CðrÞ for 0 r 3. It can be seen that the service charge is a decreasing function of, since the waiting tie and lateness enalty increase as increases. It can also be seen that the service charge is an increasing function of r, i.e., large service requests generate ore revenue than sall service requests. In Fig. 2, we further dislay CðrÞ=ar using the sae araeters in Fig.. Since ar is the ideal (axiu) charge to a service request with execution requireent r, CðrÞ=ar is considered as the noralized service charge. For ¼ 6:5; 6:35; 6:55; 6:75; 6:95 service requests er second, we show CðrÞ=ar for 0 r 3. It can be seen that the noralized service charge is a decreasing function of, since the waiting tie and lateness enalty increase as increases. It can also be seen that the noralized service charge is an increasing function of r, i.e., the ercentage of lost service charge due to waiting tie decreases as service requireent r increases. In other words, it is ore likely to ake rofit fro large service requests and it is ore likely to give free services to sall service requests. It can be verified that as r aroaches 0, the noralized service CðrÞ charge is li r!0 ar ¼ P q, where P q increases (and P q decreases) as increases. It can also be verified that as r aroaches infinity, the noralized service charge is CðrÞ li r! ar ¼, for all. 6 NET BUSINESS GAIN Since the nuber of service requests rocessed in one unit of tie is in a stable M/M/ queuing syste, the exected service charge in one unit of tie is C, which is actually the exected revenue of a service rovider. Assue that the rental cost of one server for unit of tie is. Also, assue that the cost of energy is er Watt. The cost of a service rovider is the su of the cost of infrastructure renting and the cost of energy consution, i.e., þ P. Then, the exected net business gain (i.e., the net rofit) of a service rovider in one unit of tie is G ¼ C ð þ PÞ, which is defined as the revenue inus the cost. The above equation is G ¼ C ð þ ðrs þ P ÞÞ, for the idle-seed odel, and G ¼ C ð þ ðs þ P ÞÞ, for the constant-seed odel. In Figs. 3 and 4, we deonstrate the revenue C and the net business gain G in one unit of tie as a function of for the two ower consution odels, resectively, using the sae araeters in Figs. and 2. Furtherore, we assue

6 Fig. 3. Revenue and net business gain versus (idle-seed odel). that P ¼ 2 Watts, ¼ 2:0, ¼ 9:492, ¼ :5 cents er second, and ¼ 0: cents er Watt. For 0 7, we show C and G. The cost of infrastructure renting is ¼ 4 cents er second, and the cost of energy consution is 0:5 þ 7 cents er second for the idle-seed odel and 0.5 cents er second for the constant-seed odel. We observe that both C and G increase with alost linearly and dro sharly after certain oint. In other words, ore service requests bring ore revenue and net business gain; however, after the nuber of service requests er unit of tie reaches certain oint, the excessive waiting tie causes increased lateness enalty, so that there is no revenue and negative business gain. There are two situations that cause negative business gain. In the first case, there is no enough business (i.e., service requests). In this case, a service rovider should consider reducing the nuber of servers and/or server seed s, so that the cost of infrastructure renting and the cost of energy consution can be reduced. In the second case, there is too uch business (i.e., service requests). In this case, a service rovider should consider increasing the nuber of servers and/or server seed, so that the waiting tie can be reduced and the revenue can be increased. However, increasing the nuber of servers and/or server seed also increases the cost of infrastructure renting and the cost of energy consution. Therefore, we have the roble of selecting the otial server size and/or server seed so that the rofit is axiized. 7 PROFIT MAXIMIZATION To forulate and solve our otiization robles analytically, we need a closed-for exression of C. To this end, let P us use the following closed-for aroxiation, ðþ k k¼0 k! e, which is very accurate when is not too sall and is not too large [7]. We also need Stirling s aroxiation of!, i.e.,! ffiffiffiffiffiffiffiffiffi 2ð e Þ. Therefore, we get the following closed-for aroxiation of : ffiffiffiffiffiffiffiffiffi 2ð Þðe =eþ þ ; and the following closed-for aroxiation of P q : P q ffiffiffiffiffiffiffiffiffi 2ð Þðe =eþ þ : Fig. 4. Revenue and net business gain versus (constant-seed odel). By using the above-closed-for exression of P q, we get a closed-for aroxiation of the exected service charge to a service request as C ar ffiffiffiffiffiffiffiffiffi ð 2ð Þðe =eþ þ Þ ððs rþðc=s 0 =sþþþ! : ððs rþða=d þ c=s 0 =sþþþ For convenience, we rewrite C as C ¼ arð D D 2 D 3 Þ, where D ¼ ffiffiffiffiffiffiffiffiffi 2ð Þðe =eþ þ ; D 2 ¼ðs rþðc=s 0 =sþþ; D 3 ¼ðs rþða=d þ c=s 0 =sþþ: Our discussion in this section is based on the above-closedfor exression of C. 7. Otial Size Given, r, s, P,,,, a, c, and d, our first roble is to find such that G is axiized. To axiize G, we need to find @ ð þ P Þ¼0; for the idle-seed @ ð þ ðs þ P ÞÞ ¼ 0; for the constant-seed ¼ ar ðd D 2 D 3 Þ D 2 D þ 2 D þ 3 D 2 To continue the calculation, we rewrite D as D ¼ ffiffiffiffiffiffiffiffiffi 2ð ÞR þ, where R ¼ðe =eþ. Notice that ln R ¼ lnðe =eþ ¼ð ln Þ. r 2 s ¼ ;

7 Fig. 5. Net business gain G versus and (idle-seed odel). we ¼ð ln ¼ ln ¼ R ln Now, ¼ ffiffiffiffiffi 2 2 ffiffiffiffi ð ÞR þ þ ð ¼ ffiffiffiffiffi 2 2 ffiffiffiffi ð ÞR þ ffiffiffiffi R ffiffiffiffi ð ÞR ln ¼ ffiffiffiffiffi 2 2 ffiffiffiffi ð ÞR þ ffiffiffiffi R ffiffiffiffi ð Þðln ÞR ¼ ffiffiffiffiffi 2 2 ffiffiffiffi ð þ ÞR ffiffiffiffi ð Þðln ÞR : Furtherore, we have Fig. 6. Net business gain G versus and (constant-seed odel). Such server size otiization has clear hysical interretation. When is sall such that is close to, the waiting ties of service requests are excessively long, and the service charges and the net business gain are low. As increases, the waiting ties are significantly reduced, and the service charges and the net business gain are increased. However, as further increases, there will be no ore increase in the exected services charge which has an uer bound ar; on the other hand, the cost of a service rovider (i.e., the rental cost and base ower consution) increases, so that the net business gain is actually reduced. Hence, there is an otial choice of which axiizes the rofit. 7.2 Otial Seed Given, r,, P,,,, a, c, and d, our second roble is to find s such that G is axiized. To axiize G, we need to find s @s rð Þs 2 ¼ 0; for the idle-seed odel, and ¼ cs=s @s s ¼ 0; for the constant-seed odel, ¼ as=d þ cs=s 0 : Although there is no closed-for solution to, we notice that is a decreasing function of. Therefore, can be found nuerically by using the standard bisection ethod. In Figs. 5 and 6, we deonstrate the net business gain G in one unit of tie as a function of and for the two ower consution odels, resectively, using the sae araeters in Figs., 2, 3, and 4. For ¼ 2:9; 3:9; 4:9; 5:9; 6:9, we dislay G for large enough such that <. We notice that there is an otial choice of such that G is axiized. Using our analytical results, we can find such that ¼ 0. The otial value of is , , , , , resectively, for the idleseed odel, and , , , 6.860, , resectively, for the ¼ ar ðd D 2 D 3 Þ D 2 D þ 2 D þ 3 D 2 Siilar to the calculation in the last section, we r s ¼ 2 s ; @s ¼ ð Þ; ¼ ð ÞR: s

8 Fig. 7. Net business gain G versus s and (idle-seed odel). Now, ¼ ffiffiffiffiffiffiffiffiffi R @s ¼ ffiffiffiffiffiffiffiffiffi 2 s R þ s ð Þ2 R ¼ ffiffiffiffiffiffiffiffiffi 2ð þ ð Þ 2 Þ R s : Furtherore, we ¼ c þðs rþ s 0 s s 2 ¼ c r s 0 s 2 ; ¼ a d þ c þðs rþ s 0 s s 2 ¼ a d þ c r s 0 s : 2 Although there is no closed-for solution to s, we notice that is a decreasing function of s. Therefore, s can be found nuerically by using the standard bisection ethod. In Figs. 7 and 8, we deonstrate the net business gain G in one unit of tie as a function of s and for the two ower consution odels, resectively, using the sae araeters in Figs., 2, 3, 4, 5, and 6. For ¼ 2:9; 3:9; 4:9; 5:9; 6:9, we dislay G for s large enough such that <. We notice that there is an otial choice of s such that G is axiized. Using our analytical results, we can find s such that Fig. 9. Net business gain G versus s and (idle-seed odel). ¼ 0. The otial value of s is , , ,.049,.90, resectively, for the idle-seed odel, and , , , ,.3584, resectively, for the constant-seed odel. Such server seed otiization also has clear hysical interretation. When s is sall such that is close to, the waiting ties of service requests are excessively long, and the service charges and the net business gain are low. As s increases, the waiting ties are significantly reduced, and the service charges and the net business gain are increased. However, as s further increases, there will be no ore increase in the exected services charge which has an uer bound ar; on the other hand, the cost of a service rovider (i.e., the cost of energy consution) increases, so that the net business gain is actually reduced. Hence, there is an otial choice of s which axiizes the rofit. 7.3 Otial Size and Seed Given, r, P,,,, a, c, and d, our third roble is to find and s such that G is axiized. To axiize G, we need to find and s such that ¼ 0 and ¼ 0, where and have been derived in the last two sections. The two equations can be solved by a nested bisection search rocedure. In Figs. 9 and 0, we deonstrate the net business gain G in one unit of tie as a function of s and for the two ower consution odels, resectively, using the sae araeters in Figs., 2, 3, 4, 5, 6, 7, and 8, where ¼ 6:9. For ¼ 4; 5; 6; 7; 8, we dislay G for s large enough such that <. Using our analytical results, we can find and s such that ¼ 0 and ¼ 0. For the idle-seed Fig. 8. Net business gain G versus s and (constant-seed odel). Fig. 0. Net business gain G versus s and (constant-seed odel).

### Dynamic Resource Allocation to Maximize the Profits in Cloud Environment

Dynamic Resource Allocation to Maximize the Profits in Cloud Environment 1 K.R Dilip Department of Computer Science and Engineering, JNTUA, Anantapur/ Annamacharya Institute of Technology and Sciences,Tirupathi,

### ISSN: 2321-7782 (Online) Volume 2, Issue 5, May 2014 International Journal of Advance Research in Computer Science and Management Studies

ISSN: 2321-7782 (Online) Volume 2, Issue 5, May 2014 International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online at:

### Optimal Multi Server Using Time Based Cost Calculation in Cloud Computing

Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 8, August 2014,

### CLOUD computing is quickly becoming an effective

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL XX, NO YY, MONTH 2Z Optimal Multiserver Configuration for Profit Maximization in Cloud Computing Junwei Cao, Senior Member, IEEE Kai Hwang, Fellow,

### SCIENTIFIC simulations executed on parallel computing

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 20, NO. X, XXX 2009 1 Scheduling Parallel Task Grahs on (Alost) Hoogeneous Multicluster Platfors Pierre-François Dutot, Tchiou N Také, Frédéric

### Proposed Pricing Model for Cloud Computing

Computer Science and Information Technology 2(4): 211-218, 2014 DOI: 10.13189/csit.2014.020405 http://www.hrpub.org Proposed Pricing Model for Cloud Computing Muhammad Adeel Javaid Member Vendor Advisory

### Dynamic Price Quotation in a Responsive Supply Chain for One-of-a-K ind Production

Dynaic Price Quotation in a Resonsive Suly Chain for One-of-a-K ind Production Jian (Ray) Zhang Deartent of Mechanical and Manufacturing Engineering, University of Calgary, 5 University Drive NW, Calgary,

### An Integrated Approach for Monitoring Service Level Parameters of Software-Defined Networking

International Journal of Future Generation Counication and Networking Vol. 8, No. 6 (15), pp. 197-4 http://d.doi.org/1.1457/ijfgcn.15.8.6.19 An Integrated Approach for Monitoring Service Level Paraeters

Proceedings of the 007 IEEE Intelligent Transortation Systes Conference Seattle, WA, USA, Set. 30 - Oct. 3, 007 WeC4.3 Analysis of a Secure Uload Technique in Advanced Vehicles using Wireless Links Irina

### A multi objective virtual machine placement method for reduce operational costs in cloud computing by genetic

International Journal of Couter Networs and Counications Security VOL. 2, NO. 8, AUGUST 2014, 250 259 Available online at: www.icncs.org ISSN 2308-9830 C N C S A ulti obective virtual achine laceent ethod

### LAB VIII. LOW FREQUENCY CHARACTERISTICS OF JUNCTION FIELD EFFECT TRANSISTORS

LAB V. LOW FREQUENCY CHARACTERSTCS OF JUNCTON FELD EFFECT TRANSSTORS 1. OBJECTVE n this lab, you will study the -V characteristics and sall-signal odel of Junction Field Effect Transistors (JFET).. OVERVEW

### 1 Adaptive Control. 1.1 Indirect case:

Adative Control Adative control is the attet to redesign the controller while online, by looking at its erforance and changing its dynaic in an autoatic way. Adative control is that feedback law that looks

### IEEE TRANSACTIONS ON COMPUTERS, VOL. 64, NO. X, XXXXX 2015 1. A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Computing

TRANSACTIONS ON COMPUTERS, VOL. 64, NO. X, XXXXX 2015 1 A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Computing Jing Mei, Kenli Li, Member,, Aijia Ouyang, Keqin Li, Fellow, Abstract

### PERFORMANCE METRICS FOR THE IT SERVICES PORTFOLIO

Bulletin of the Transilvania University of Braşov Series I: Engineering Sciences Vol. 4 (53) No. - 0 PERFORMANCE METRICS FOR THE IT SERVICES PORTFOLIO V. CAZACU I. SZÉKELY F. SANDU 3 T. BĂLAN Abstract:

### ESTIMATION OF THE DEMAND FOR RESIDENTIAL WATER IN A STONE- GEARY FORM AND THE CHOICE OF THE PRICE VARIABLE MARIE-ESTELLE BINET. Associate Professor

ESTIMATION OF THE DEMAND FOR RESIDENTIAL WATER IN A STONE- GEARY FORM AND THE CHOICE OF THE PRICE VARIABLE MARIE-ESTELLE BINET Associate Professor arie-estelle.binet@univ-rennes1.fr CREM (UMR 611 CNRS),

### This paper studies a rental firm that offers reusable products to price- and quality-of-service sensitive

MANUFACTURING & SERVICE OPERATIONS MANAGEMENT Vol., No. 3, Suer 28, pp. 429 447 issn 523-464 eissn 526-5498 8 3 429 infors doi.287/so.7.8 28 INFORMS INFORMS holds copyright to this article and distributed

### GRADUAL OPTIMIZATION OF URBAN FIRE STATION LOCATIONS BASED ON GEOGRAPHICAL NETWORK MODEL

GRADUAL OPTIMIZATION OF URBAN FIRE STATION LOCATIONS BASED ON GEOGRAPHICAL NETWORK MODEL Yu Yan a, b, Guo Qingsheng a, Tang Xining c a School of Resource and Environent Science, Wuhan University, 29 Luoyu

An Innovate Dynaic Load Balancing Algorith Based on Task Classification Hong-bin Wang,,a, Zhi-yi Fang, b, Guan-nan Qu,*,c, Xiao-dan Ren,d College of Coputer Science and Technology, Jilin University, Changchun

### Reliability Constrained Packet-sizing for Linear Multi-hop Wireless Networks

Reliability Constrained acket-sizing for inear Multi-hop Wireless Networks Ning Wen, and Randall A. Berry Departent of Electrical Engineering and Coputer Science Northwestern University, Evanston, Illinois

### Transient Performance of PacketScore for blocking DDoS attacks

Transient Perforance of PacketScore for blocking DDoS attacks Mooi Choo Chuah 1 Wing Cheong Lau Yoohwan Ki H. Jonathan Chao CSE Deartent Bell Laboratories EECS Deartent ECE Deartent Lehigh Univ. Lucent

### A Virtual Machine Dynamic Migration Scheduling Model Based on MBFD Algorithm

International Journal of Comuter Theory and Engineering, Vol. 7, No. 4, August 2015 A Virtual Machine Dynamic Migration Scheduling Model Based on MBFD Algorithm Xin Lu and Zhuanzhuan Zhang Abstract This

### OPTIMAL MULTI SERVER CONFIGURATION FOR PROFIT MAXIMIZATION IN CLOUD COMPUTING

OPTIMAL MULTI SERVER CONFIGURATION FOR PROFIT MAXIMIZATION IN CLOUD COMPUTING Abstract: As cloud computing becomes more and more popular, understanding the economics of cloud computing becomes critically

### Resource Allocation in Wireless Networks with Multiple Relays

Resource Allocation in Wireless Networks with Multiple Relays Kağan Bakanoğlu, Stefano Toasin, Elza Erkip Departent of Electrical and Coputer Engineering, Polytechnic Institute of NYU, Brooklyn, NY, 0

### Exploiting Hardware Heterogeneity within the Same Instance Type of Amazon EC2

Exploiting Hardware Heterogeneity within the Sae Instance Type of Aazon EC2 Zhonghong Ou, Hao Zhuang, Jukka K. Nurinen, Antti Ylä-Jääski, Pan Hui Aalto University, Finland; Deutsch Teleko Laboratories,

### TOPIC T3: DIMENSIONAL ANALYSIS AUTUMN 2013

TOPIC T3: DIMENSIONAL ANALYSIS AUTUMN 013 Objectives (1 Be able to deterine the diensions of hysical quantities in ters of fundaental diensions. ( Understand the Princile of Diensional Hoogeneity and its

### Use of extrapolation to forecast the working capital in the mechanical engineering companies

ECONTECHMOD. AN INTERNATIONAL QUARTERLY JOURNAL 2014. Vol. 1. No. 1. 23 28 Use of extrapolation to forecast the working capital in the echanical engineering copanies A. Cherep, Y. Shvets Departent of finance

### PREDICTION OF POSSIBLE CONGESTIONS IN SLA CREATION PROCESS

PREDICTIO OF POSSIBLE COGESTIOS I SLA CREATIO PROCESS Srećko Krile University of Dubrovnik Departent of Electrical Engineering and Coputing Cira Carica 4, 20000 Dubrovnik, Croatia Tel +385 20 445-739,

### The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

Send Orders for Reprints to reprints@benthascience.ae 206 The Open Fuels & Energy Science Journal, 2015, 8, 206-210 Open Access The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic

### Real Time Target Tracking with Binary Sensor Networks and Parallel Computing

Real Tie Target Tracking with Binary Sensor Networks and Parallel Coputing Hong Lin, John Rushing, Sara J. Graves, Steve Tanner, and Evans Criswell Abstract A parallel real tie data fusion and target tracking

### Cooperative Caching for Adaptive Bit Rate Streaming in Content Delivery Networks

Cooperative Caching for Adaptive Bit Rate Streaing in Content Delivery Networs Phuong Luu Vo Departent of Coputer Science and Engineering, International University - VNUHCM, Vietna vtlphuong@hciu.edu.vn

### ON SELF-ROUTING IN CLOS CONNECTION NETWORKS. BARRY G. DOUGLASS Electrical Engineering Department Texas A&M University College Station, TX 77843-3128

ON SELF-ROUTING IN CLOS CONNECTION NETWORKS BARRY G. DOUGLASS Electrical Engineering Departent Texas A&M University College Station, TX 778-8 A. YAVUZ ORUÇ Electrical Engineering Departent and Institute

### Online Bagging and Boosting

Abstract Bagging and boosting are two of the ost well-known enseble learning ethods due to their theoretical perforance guarantees and strong experiental results. However, these algoriths have been used

### Dynamic Placement for Clustered Web Applications

Dynaic laceent for Clustered Web Applications A. Karve, T. Kibrel, G. acifici, M. Spreitzer, M. Steinder, M. Sviridenko, and A. Tantawi IBM T.J. Watson Research Center {karve,kibrel,giovanni,spreitz,steinder,sviri,tantawi}@us.ib.co

### Airline Yield Management with Overbooking, Cancellations, and No-Shows JANAKIRAM SUBRAMANIAN

Airline Yield Manageent with Overbooking, Cancellations, and No-Shows JANAKIRAM SUBRAMANIAN Integral Developent Corporation, 301 University Avenue, Suite 200, Palo Alto, California 94301 SHALER STIDHAM

### Applying Multiple Neural Networks on Large Scale Data

0 International Conference on Inforation and Electronics Engineering IPCSIT vol6 (0) (0) IACSIT Press, Singapore Applying Multiple Neural Networks on Large Scale Data Kritsanatt Boonkiatpong and Sukree

### Research Article Performance Evaluation of Human Resource Outsourcing in Food Processing Enterprises

Advance Journal of Food Science and Technology 9(2): 964-969, 205 ISSN: 2042-4868; e-issn: 2042-4876 205 Maxwell Scientific Publication Corp. Subitted: August 0, 205 Accepted: Septeber 3, 205 Published:

### Load balancing over redundant wireless sensor networks based on diffluent

Load balancing over redundant wireless sensor networks based on diffluent Abstract Xikui Gao Yan ai Yun Ju School of Control and Coputer Engineering North China Electric ower University 02206 China Received

### Evaluating Inventory Management Performance: a Preliminary Desk-Simulation Study Based on IOC Model

Evaluating Inventory Manageent Perforance: a Preliinary Desk-Siulation Study Based on IOC Model Flora Bernardel, Roberto Panizzolo, and Davide Martinazzo Abstract The focus of this study is on preliinary

### CLOSED-LOOP SUPPLY CHAIN NETWORK OPTIMIZATION FOR HONG KONG CARTRIDGE RECYCLING INDUSTRY

CLOSED-LOOP SUPPLY CHAIN NETWORK OPTIMIZATION FOR HONG KONG CARTRIDGE RECYCLING INDUSTRY Y. T. Chen Departent of Industrial and Systes Engineering Hong Kong Polytechnic University, Hong Kong yongtong.chen@connect.polyu.hk

### Web Application Scalability: A Model-Based Approach

Coyright 24, Software Engineering Research and Performance Engineering Services. All rights reserved. Web Alication Scalability: A Model-Based Aroach Lloyd G. Williams, Ph.D. Software Engineering Research

### ASIC Design Project Management Supported by Multi Agent Simulation

ASIC Design Project Manageent Supported by Multi Agent Siulation Jana Blaschke, Christian Sebeke, Wolfgang Rosenstiel Abstract The coplexity of Application Specific Integrated Circuits (ASICs) is continuously

### COMMONWEALTH OF VIRGINIA STATE CORPORATION COMMISSION AT RICHMOND, OCTOBER 30, 2015 ~ ORDER FOR NOTICE AND HEARING

APPLICATION OF COMMONWEALTH OF VIRGINIA STATE CORPORATION COMMISSION AT RICHMOND, OCTOBER 30, 2015 ~ (a i/i A. CO VIRGINIA ELECTRIC AND POWER COMPANY CASE NO. PUE-2015-00104 For aroval and certification

### A framework for performance monitoring, load balancing, adaptive timeouts and quality of service in digital libraries

Int J Digit Libr (2000) 3: 9 35 INTERNATIONAL JOURNAL ON Digital Libraries Springer-Verlag 2000 A fraework for perforance onitoring, load balancing, adaptive tieouts and quality of service in digital libraries

### Stochastic Derivation of an Integral Equation for Probability Generating Functions

Journal of Informatics and Mathematical Sciences Volume 5 (2013), Number 3,. 157 163 RGN Publications htt://www.rgnublications.com Stochastic Derivation of an Integral Equation for Probability Generating

### 11. CHEMICAL SENSORS

11. CHEMICAL SENSORS 11.1. Air huidity easureent Objectives Measure the relative huidity using anual sychroeter and digital huidity eter with caacitive olyer robe Huistar. Fro rovided tables calculate

### The Application of Bandwidth Optimization Technique in SLA Negotiation Process

The Application of Bandwidth Optiization Technique in SLA egotiation Process Srecko Krile University of Dubrovnik Departent of Electrical Engineering and Coputing Cira Carica 4, 20000 Dubrovnik, Croatia

### Implementation of Active Queue Management in a Combined Input and Output Queued Switch

pleentation of Active Queue Manageent in a obined nput and Output Queued Switch Bartek Wydrowski and Moshe Zukeran AR Special Research entre for Ultra-Broadband nforation Networks, EEE Departent, The University

### Software Quality Characteristics Tested For Mobile Application Development

Thesis no: MGSE-2015-02 Software Quality Characteristics Tested For Mobile Application Developent Literature Review and Epirical Survey WALEED ANWAR Faculty of Coputing Blekinge Institute of Technology

### Analyzing Spatiotemporal Characteristics of Education Network Traffic with Flexible Multiscale Entropy

Vol. 9, No. 5 (2016), pp.303-312 http://dx.doi.org/10.14257/ijgdc.2016.9.5.26 Analyzing Spatioteporal Characteristics of Education Network Traffic with Flexible Multiscale Entropy Chen Yang, Renjie Zhou

### International Journal of Management & Information Systems First Quarter 2012 Volume 16, Number 1

International Journal of Manageent & Inforation Systes First Quarter 2012 Volue 16, Nuber 1 Proposal And Effectiveness Of A Highly Copelling Direct Mail Method - Establishent And Deployent Of PMOS-DM Hisatoshi

### Construction Economics & Finance. Module 3 Lecture-1

Depreciation:- Construction Econoics & Finance Module 3 Lecture- It represents the reduction in arket value of an asset due to age, wear and tear and obsolescence. The physical deterioration of the asset

### arxiv:0805.1434v1 [math.pr] 9 May 2008

Degree-distribution stability of scale-free networs Zhenting Hou, Xiangxing Kong, Dinghua Shi,2, and Guanrong Chen 3 School of Matheatics, Central South University, Changsha 40083, China 2 Departent of

### Machine Learning Applications in Grid Computing

Machine Learning Applications in Grid Coputing George Cybenko, Guofei Jiang and Daniel Bilar Thayer School of Engineering Dartouth College Hanover, NH 03755, USA gvc@dartouth.edu, guofei.jiang@dartouth.edu

### Option B: Credit Card Processing

Attachent B Option B: Credit Card Processing Request for Proposal Nuber 4404 Z1 Bidders are required coplete all fors provided in this attachent if bidding on Option B: Credit Card Processing. Note: If

### An important observation in supply chain management, known as the bullwhip effect,

Quantifying the Bullwhi Effect in a Simle Suly Chain: The Imact of Forecasting, Lead Times, and Information Frank Chen Zvi Drezner Jennifer K. Ryan David Simchi-Levi Decision Sciences Deartment, National

### Near Light Correction for Image Relighting and 3D Shape Recovery

Near Light Correction for Iage Relighting and 3D Shae Recovery Xiang Huang, Marc Walton, Greg Bearan and Oliver Cossairt Northwestern University, Evanston, IL, USA ANE Iage, Pasadena, CA, USA xianghuang@gailco

### Measuring Bottleneck Bandwidth of Targeted Path Segments

Measuring Bottleneck Bandwidth of Targeted Path Segents Khaled Harfoush Deartent of Couter Science North Carolina State University Raleigh, NC 27695 harfoush@cs.ncsu.edu Azer Bestavros Couter Science Deartent

### An Approach to Combating Free-riding in Peer-to-Peer Networks

An Approach to Cobating Free-riding in Peer-to-Peer Networks Victor Ponce, Jie Wu, and Xiuqi Li Departent of Coputer Science and Engineering Florida Atlantic University Boca Raton, FL 33431 April 7, 2008

### Profit-driven Cloud Service Request Scheduling Under SLA Constraints

Journal of Information & Computational Science 9: 14 (2012) 4065 4073 Available at http://www.joics.com Profit-driven Cloud Service Request Scheduling Under SLA Constraints Zhipiao Liu, Qibo Sun, Shangguang

### Energy Efficient VM Scheduling for Cloud Data Centers: Exact allocation and migration algorithms

Energy Efficient VM Scheduling for Cloud Data Centers: Exact allocation and igration algoriths Chaia Ghribi, Makhlouf Hadji and Djaal Zeghlache Institut Mines-Téléco, Téléco SudParis UMR CNRS 5157 9, Rue

### Endogenous Credit-Card Acceptance in a Model of Precautionary Demand for Money

Endogenous Credit-Card Acceptance in a Model of Precautionary Deand for Money Adrian Masters University of Essex and SUNY Albany Luis Raúl Rodríguez-Reyes University of Essex March 24 Abstract A credit-card

### Online Appendix I: A Model of Household Bargaining with Violence. In this appendix I develop a simple model of household bargaining that

Online Appendix I: A Model of Household Bargaining ith Violence In this appendix I develop a siple odel of household bargaining that incorporates violence and shos under hat assuptions an increase in oen

### Markov Models and Their Use for Calculations of Important Traffic Parameters of Contact Center

Markov Models and Their Use for Calculations of Iportant Traffic Paraeters of Contact Center ERIK CHROMY, JAN DIEZKA, MATEJ KAVACKY Institute of Telecounications Slovak University of Technology Bratislava

### Insurance Spirals and the Lloyd s Market

Insurance Spirals and the Lloyd s Market Andrew Bain University of Glasgow Abstract This paper presents a odel of reinsurance arket spirals, and applies it to the situation that existed in the Lloyd s

### Storage Basics Architecting the Storage Supplemental Handout

Storage Basics Architecting the Storage Sulemental Handout INTRODUCTION With digital data growing at an exonential rate it has become a requirement for the modern business to store data and analyze it

### Image restoration for a rectangular poor-pixels detector

Iage restoration for a rectangular poor-pixels detector Pengcheng Wen 1, Xiangjun Wang 1, Hong Wei 2 1 State Key Laboratory of Precision Measuring Technology and Instruents, Tianjin University, China 2

### SOME APPLICATIONS OF FORECASTING Prof. Thomas B. Fomby Department of Economics Southern Methodist University May 2008

SOME APPLCATONS OF FORECASTNG Prof. Thoas B. Foby Departent of Econoics Southern Methodist University May 8 To deonstrate the usefulness of forecasting ethods this note discusses four applications of forecasting

### Endogenous Market Structure and the Cooperative Firm

Endogenous Market Structure and the Cooperative Fir Brent Hueth and GianCarlo Moschini Working Paper 14-WP 547 May 2014 Center for Agricultural and Rural Developent Iowa State University Aes, Iowa 50011-1070

### Karl-Erik Rydberg. Abstract. and a number of energy efficient fluids have been launched on the market.

The 3th Scandinaian International Conference on Fluid Power, SICFP03, June 3-5, 03, Linköing, Sweden Hydraulic Fluid Proerties and their Iact on Energy Efficiency Karl-Erik Rydberg Diision of Fluid and

### Extended-Horizon Analysis of Pressure Sensitivities for Leak Detection in Water Distribution Networks: Application to the Barcelona Network

2013 European Control Conference (ECC) July 17-19, 2013, Zürich, Switzerland. Extended-Horizon Analysis of Pressure Sensitivities for Leak Detection in Water Distribution Networks: Application to the Barcelona

### LEAN FOR FRONTLINE MANAGERS IN HEALTHCARE An action learning programme for frontline healthcare managers

Course Code: L024 LEAN FOR FRONTLINE MANAGERS IN HEALTHCARE An action learning prograe for frontline healthcare anagers 6 days Green Belt equivalent Are you ready to challenge the status quo and transfor

### An Efficient Method for Improving Backfill Job Scheduling Algorithm in Cluster Computing Systems

The International ournal of Soft Comuting and Software Engineering [SCSE], Vol., No., Secial Issue: The Proceeding of International Conference on Soft Comuting and Software Engineering 0 [SCSE ], San Francisco

Int J Counications, Network and Syste Sciences, 29, 5, 422-432 doi:14236/ijcns292547 Published Online August 29 (http://wwwscirporg/journal/ijcns/) Load Control for Overloaded MPLS/DiffServ Networks during

### Impact of Processing Costs on Service Chain Placement in Network Functions Virtualization

Ipact of Processing Costs on Service Chain Placeent in Network Functions Virtualization Marco Savi, Massio Tornatore, Giacoo Verticale Dipartiento di Elettronica, Inforazione e Bioingegneria, Politecnico

### Study on the development of statistical data on the European security technological and industrial base

Study on the developent of statistical data on the European security technological and industrial base Security Sector Survey Analysis: France Client: European Coission DG Migration and Hoe Affairs Brussels,

### Modeling Parallel Applications Performance on Heterogeneous Systems

Modeling Parallel Applications Perforance on Heterogeneous Systes Jaeela Al-Jaroodi, Nader Mohaed, Hong Jiang and David Swanson Departent of Coputer Science and Engineering University of Nebraska Lincoln

### Dynamic Resource Pricing on Federated Clouds

Dynamic Resource Pricing on Federated Clouds Marian Mihailescu and Yong Meng Teo Department of Computer Science National University of Singapore Computing 1, 13 Computing Drive, Singapore 117417 Email:

### Monitoring Frequency of Change By Li Qin

Monitoring Frequency of Change By Li Qin Abstract Control charts are widely used in rocess monitoring roblems. This aer gives a brief review of control charts for monitoring a roortion and some initial

### New for 2016! Get Licensed

Financial Manageent 2016 HS There s only one place you need to go for all your professional developent needs. The Power to Know. NEW Experience a different school of learning! New for 2016! Online courses

### Efficient Key Management for Secure Group Communications with Bursty Behavior

Efficient Key Manageent for Secure Group Counications with Bursty Behavior Xukai Zou, Byrav Raaurthy Departent of Coputer Science and Engineering University of Nebraska-Lincoln Lincoln, NE68588, USA Eail:

### A Scalable Application Placement Controller for Enterprise Data Centers

W WWW 7 / Track: Perforance and Scalability A Scalable Application Placeent Controller for Enterprise Data Centers Chunqiang Tang, Malgorzata Steinder, Michael Spreitzer, and Giovanni Pacifici IBM T.J.

### An Improved Decision-making Model of Human Resource Outsourcing Based on Internet Collaboration

International Journal of Hybrid Inforation Technology, pp. 339-350 http://dx.doi.org/10.14257/hit.2016.9.4.28 An Iproved Decision-aking Model of Huan Resource Outsourcing Based on Internet Collaboration

### PREDICTION OF MILKLINE FILL AND TRANSITION FROM STRATIFIED TO SLUG FLOW

PREDICTION OF MILKLINE FILL AND TRANSITION FROM STRATIFIED TO SLUG FLOW ABSTRACT: by Douglas J. Reineann, Ph.D. Assistant Professor of Agricultural Engineering and Graee A. Mein, Ph.D. Visiting Professor

### CRM FACTORS ASSESSMENT USING ANALYTIC HIERARCHY PROCESS

641 CRM FACTORS ASSESSMENT USING ANALYTIC HIERARCHY PROCESS Marketa Zajarosova 1* *Ph.D. VSB - Technical University of Ostrava, THE CZECH REPUBLIC arketa.zajarosova@vsb.cz Abstract Custoer relationship

ADJUSTING FOR QUALITY CHANGE 7 Introduction 7.1 The easureent of changes in the level of consuer prices is coplicated by the appearance and disappearance of new and old goods and services, as well as changes

### Fuzzy Sets in HR Management

Acta Polytechnica Hungarica Vol. 8, No. 3, 2011 Fuzzy Sets in HR Manageent Blanka Zeková AXIOM SW, s.r.o., 760 01 Zlín, Czech Republic blanka.zekova@sezna.cz Jana Talašová Faculty of Science, Palacký Univerzity,

### DAY-AHEAD ELECTRICITY PRICE FORECASTING BASED ON TIME SERIES MODELS: A COMPARISON

DAY-AHEAD ELECTRICITY PRICE FORECASTING BASED ON TIME SERIES MODELS: A COMPARISON Rosario Esínola, Javier Contreras, Francisco J. Nogales and Antonio J. Conejo E.T.S. de Ingenieros Industriales, Universidad

### Method of supply chain optimization in E-commerce

MPRA Munich Personal RePEc Archive Method of supply chain optiization in E-coerce Petr Suchánek and Robert Bucki Silesian University - School of Business Adinistration, The College of Inforatics and Manageent

### Effect Sizes Based on Means

CHAPTER 4 Effect Sizes Based on Means Introduction Raw (unstardized) mean difference D Stardized mean difference, d g Resonse ratios INTRODUCTION When the studies reort means stard deviations, the referred

### REQUIREMENTS FOR A COMPUTER SCIENCE CURRICULUM EMPHASIZING INFORMATION TECHNOLOGY SUBJECT AREA: CURRICULUM ISSUES

REQUIREMENTS FOR A COMPUTER SCIENCE CURRICULUM EMPHASIZING INFORMATION TECHNOLOGY SUBJECT AREA: CURRICULUM ISSUES Charles Reynolds Christopher Fox reynolds @cs.ju.edu fox@cs.ju.edu Departent of Coputer

### OpenGamma Documentation Bond Pricing

OpenGaa Docuentation Bond Pricing Marc Henrard arc@opengaa.co OpenGaa Docuentation n. 5 Version 2.0 - May 2013 Abstract The details of the ipleentation of pricing for fixed coupon bonds and floating rate

### The AGA Evaluating Model of Customer Loyalty Based on E-commerce Environment

6 JOURNAL OF SOFTWARE, VOL. 4, NO. 3, MAY 009 The AGA Evaluating Model of Custoer Loyalty Based on E-coerce Environent Shaoei Yang Econoics and Manageent Departent, North China Electric Power University,

### A Simple Model of Pricing, Markups and Market. Power Under Demand Fluctuations

A Simle Model of Pricing, Markus and Market Power Under Demand Fluctuations Stanley S. Reynolds Deartment of Economics; University of Arizona; Tucson, AZ 85721 Bart J. Wilson Economic Science Laboratory;

### Energy Proportionality for Disk Storage Using Replication

Energy Proportionality for Disk Storage Using Replication Jinoh Ki and Doron Rote Lawrence Berkeley National Laboratory University of California, Berkeley, CA 94720 {jinohki,d rote}@lbl.gov Abstract Energy

### A New High-Frequency Fluorescent Lamp Model

A New High-Frequency Fluorescent ap Model Thoas J. Ribarich and John J. Ribarich International Rectifier Power IC Group 33 Kansas St., El Segundo, CA, 945-438 Tel.: (31)76-887 Fax: (31)76-8846 as presented

### Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing

Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing Deep Mann ME (Software Engineering) Computer Science and Engineering Department Thapar University Patiala-147004

### Generating Certification Authority Authenticated Public Keys in Ad Hoc Networks

SECURITY AND COMMUNICATION NETWORKS Published online in Wiley InterScience (www.interscience.wiley.co). Generating Certification Authority Authenticated Public Keys in Ad Hoc Networks G. Kounga 1, C. J.

### Local Area Network Management

Technology Guidelines for School Coputer-based Technologies Local Area Network Manageent Local Area Network Manageent Introduction This docuent discusses the tasks associated with anageent of Local Area